Hochschule Bremerhaven Bremerhaven Modul-Handbook LEM Page 4 05/2013 Index numbers Simple estimation...

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Hochschule Bremerhaven Fachbereich 2 Modul-Handbook Logistics Engineering and Management (Master of Science)

Transcript of Hochschule Bremerhaven Bremerhaven Modul-Handbook LEM Page 4 05/2013 Index numbers Simple estimation...

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Hochschule Bremerhaven

Fachbereich 2

Modul-Handbook

Logistics Engineering and Management

(Master of Science)

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Inhalt

Title: Application of Mathematics in Logistics ................................................................... 3

Title: International Transport Systems ................................................................................. 6

Title: Economics ................................................................................................................... 9

Title: IT-Technologies ......................................................................................................... 12

Title: Decision Support Systems ........................................................................................ 14

Title: Packaging Management and Reverse Logistics ................................................... 17

Title: Electives 1 – General studies ................................................................................... 21

Title: Personnel Placement, Contracts of Employment (Electives 1) ............................. 23

Title: Technical Risks due to Hazardous Materials .......................................................... 25

Title: International Law for Logisticians ............................................................................ 28

Title: Process and Cost Management .............................................................................. 30

Title: Simulation and Artificial Intelligence ...................................................................... 33

Title: Risk Management and Logistics Law ...................................................................... 36

Title: Production Planning and Quality Management .................................................... 38

Title: Logistics Management ............................................................................................. 41

Title: Global Management ................................................................................................ 43

Title: Project for Master Thesis ........................................................................................... 45

Title: Masterthesis .............................................................................................................. 47

Title: Material flow techniques and Automation (Electives 2) ....................................... 49

Title: Problems in international transport law (Electives 2) ............................................. 50

Title: Planning of Material Flow Systems (Electives 2) ..................................................... 52

Title: Green Logistics (Electives 2) .................................................................................... 54

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Title: Application of Mathematics in Logistics

Code number

11000

Workload

180 h

Credits

6

Semester

1. Sem.

Frequency

jedes Each winter semester

Length

1 Semester

1 Course

a) Operations Research

b) Statistics

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr.-Ing. Carsten Dorn

Course No.: Course: Operations Research

Docent: Prof. Dr. Carsten Boll

Semester: 1 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Statistics

Docent: Hr. Fellensiek

Semester: 1 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The students will acquire competences to apply statistical methods to quality assurance and quality management. They should gain knowledge and skills to analyse and predict logistic facts and their interrelations and should be able to use estimation and testing methods in the field of strategic planning.

In the course “Operations Research” the students will acquire essential knowledge for the application of mathematical methods to optimize the logistics processes.

3 Course contents

a) Operations Research:

aph theory (basics)

minimal framework problem

shortest path problem

traveling salesman problem

vehicle routing problem

transportation problem (heuristics)

assignment problem (linear / nonlinear) allocation problem

b) Statistics:

wo-dimensional frequency distribution

Stock and time series analysis

Prediction techniques

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Index numbers

Simple estimation methods

X²-, F- and T-distribution

Introduction to sampling procedure

Basics of the test theory

Special testing methods

Statistical quality control

a) Operations Research:

aph theory (basics)

minimal framework problem

shortest path problem

traveling salesman problem

vehicle routing problem

transportation problem (heuristics)

assignment problem (linear / nonlinear)

allocation problem

4 Teaching methods

Lectures

5 Prerequisites for course participation

Basics of mathematics, statistics and operations research, corresponding to the modules 1 and 8 of the Bachelor degree course Transport Engineering/Logistics

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h] 3

7 Requirements for allocation of Credit points

Passed examination

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

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11 Additional information

Language of teaching: German

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Title: International Transport Systems

Code number

11100

Workload

180 h

Credits

6

Semester

1. Sem.

Frequency

each winter semester

Length

1 Semester

1 Course

a) International Modal Transport Systems

b) Planning of International Transport Systems

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr.-Ing. Carsten Dorn

Course No.: Course: International Modal Transport Systems

Docent: Prof. Dr.-Ing. Carsten Dorn

Semester: 1 Course weighting: 0,5 SWS Course: 1

Course No.: Course: International Modal Transport Systems Lab

Docent: Prof. Dr.-Ing. Carsten Dorn

Semester: 1 Course weighting:

SWS Course: 1

Course No.: Course: Planning of International Transport Systems

Docent: Prof. Dr. Carsten Dorn

Semester: 1 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The aim of the lectures is that students learn the systematic development and optimization of logistics systems / networks. In particular, the variety of possible parameters that describe a logistic system must be systematized. Methods of analysis and optimization under the particular conditions should be learned. As part of the lectures the basis of combined transport will be taught. An important part of combined transport, rail transport is considered in more detail. Starting to learn from a systematic analysis of the transport situation, the students should learn to regard the process of systematic analysis in terms of scientific applicability to evaluate transport processes compared under various aspects. As part of the lecture International Modal Transport System, the students learn to set up a business plan for a start-up company in this segment. They will learn all aspects of this segment with real issues and corresponding methods. The aim is that these students are later able to accomplish such projects on a higher level in industry.

3 Course contents

a) International Modal Transport Systems

vehicles and cargo handling technology in combined transport

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European networks for the transport of freight by rail

Organization structure and service offerings of existing railways

Production and operating procedures in the international freight cargo

developing logistical system performances on the track

Planning a startup company in the field of combined transport

b) Planning of International Transport Systems

Theoretical Fundamentals of the logistics system

Basics of planning logistics systems

Development of logistics networks

suitability and applicability of methods and tools to optimize logistics networks

case studies (Optimization of networks)

4 Teaching methods

a) International Modal Transport Systems: Lectures

b) Planning of International Transport Systems: Lectures

5 Prerequisites for course participation

Bachelor (Logistics)

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

passed oral presentation, project

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr.-Ing. Carsten Dorn

11 Additional information

50 % would be teached in English

Literature:

1. Diverse subject literature 2. Dorn, Carsten: Vorlesungsumdruck „Planung logistischer Systeme“

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3. Dorn, Carsten: Vorlesungsumdruck „International Modal Transport Systems“ 4. Bretzke, Wolf-Rüdiger: Logistische Netzwerke 5. Huub Vrenken, Cathy Macharis, Peter Wolters, Intermodal Transport in Europe 6. Florian, Waibel, Geschäftsmodelle privater Güterbahnen 7. CER, Competition in Europe´s rail freight market

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Title: Economics

Code number

11200

Workload

180 h

Credits

6

Semester

1. Sem.

Frequency

each winter semester

Length

1 Semester

1 Course

a) Transport Economics

b) Sourcing

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Jochem Piontek

Course No.: Course: Transport Economies

Docent: Prof. Dr. Heinz-Jürgen Scheibe

Semester: 1 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Sourcing

Docent: Prof. Dr. Jochem Piontek

Semester: 1 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The module deepens the knowledge of economics acquired in the module “Macroeconomics” in the Bachelor degree course Transport Engineering/Logistics and presents transport economics theories. The teaching languages of the course “Transport Economics” are English (70 %) and German (30 %). Moreover the students will become acquainted with different sourcing strategies – global sourcing, modular sourcing, just-in-time-sourcing and process sourcing etc. – the sourcing will be here interpreted exclusively as process-oriented concept. During the course the students will learn about theory-based practical solutions rather than day-to-day sourcing operations. They should understand that sourcing will than succeed in influencing exchange processes, if they search together for international solutions.

3 Course contents

a) Transport Economics

Production, growth and trade

Markets in action

Markets and governments

Global economy

The theory of transport economics

Transport market dynamics

Costing and pricing policies

Integrated transport policy

The third world

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b) Sourcing

Analysis of sourcing strategies, goals, instruments and control

Process sourcing

Internal sourcing, outsourcing

Global sourcing

Local sourcing

Single sourcing Multiple sourcing Collaborative sourcing Reverse sourcing Modular sourcing

System sourcing

4 Teaching methods

Lectures, Group Work

5 Prerequisites for course participation

Modules: Macroeconomics, Traffic Management of the Bachelor degree course Transport Engineering/Logistics

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

Presentation, essay

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr. Jochem Piontek

11 Additional information

Language of teaching: English

Literature:

1. Cole, Stuart: Applied Transport Economics – Policy, Management and Decision Making,

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London, newest edition 2. Hensher, David, Brower Ann: Transport - an economics and management perspective,

Oxford, newest edition 3. Parkin, Michael, Powell, Melanie: Economics, Harlow,Essex, UK, newest edition 4. Lipsey,Richard, Chrystral K. Alec: Positive Economics, Oxford, newest edition 5. J. Piontek: Bausteine des Logistikmanagement, 3 Auflage Herne Berlin 2009 6. Corsten/ C. Gabriel: Supply Chain Management erfolgreich umsetzen, 2. Auflage, Berlin

2004 7. Bock, D. et al.: Supply Chain Collaboration, BVL-Studie, 2003

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Title: IT-Technologies

Code number

11300

Workload

180 h

Credits

6

Semester

1. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) IT-Technologies, Readings and Lab

b) Workflowmanagement, Readings and Lab

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Walter Fedderwitz

Course No.: Course: IT-Technologies

Docent: Prof. Dr. Walter Fedderwitz

Semester: 1 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Workflowmanagement

Docent: Prof. Dr. Walter Fedderwitz

Semester: 1 Course weighting:

0,5 SWS Course: 2

2 Learning outcomes / Objectives

Workflow Management looks into structure and formalization of operational procedures. The goal is to decide if certain work steps can be moved to computers or have to be done by humans. Individual work steps and processes will be analyzed and classified regarding to possible formalization and automation. Limits and possibilities of automation will be examined. The students will do an analysis of a workflow which in turn is used as a basis for a demonstrator implementation in the IT Technologies course.

Within the IT Technologies course students build a demonstrator based on a client/server architecture for a multi user data base system. Emphasis is a transaction concepts and interaction between workflow requirements and ways to implement these in the system.

3 Course contents

a) IT-Technologies

Client/Server architectures for relational data base systems

Implementation using MSSqlServer, MSAccess2010 and Visual Basic

XML, EDI as a common framework for data exchange

b) Workflowmanagement

Structure and characteristics of workflow steps. Formalized versus non formalized steps

Structure and characteristics of workflow results.

Relation between workflow steps and results

Formal analysis using structured analysis and EPK

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4 Teaching methods

Lectures, Laboratories

5 Prerequisites for course participation

Module Principles of Information Technology in Logistics (bachelor course) Module Algorithms and Data Structures (bachelor course)

Module Software Development (bachelor course)

6 Type of examination (Es kann alternativ auch eine Written exam angeboten werden.)

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

passed exam, Presentation, Student project, 2 separate exams

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr.-Ing. Walter Fedderwitz

11 Additional information

Language of teaching: English

Literature:

a) IT-Technologies

1. Tim Weitzel, Thomas Harder, Peter Buxmann, Electronic Business and EDI mit XML, Dpunkt Verlag, 2001

b) Workflowmanagement

1. Jablonski,Böhm,Schulze (Hrsg.): Workflow-Management Dpunkt.verlag, Heidelberg. 1997 2. Herrmann,Scheer,Weber (Hrsg.): Verbesserung von Geschäftsprozessen Mit flexiblen

Workflow-Management-Systemen Physica-Verlag, (Springer), 1998 3. M.Vetter: Strategie der Anwendungssoftware-Entwicklung Teubner, Stuttgart, 1990

1. Jörg Raasch: Systementwicklung mit Strukturierten Methoden Hanser Verlag, München, Wien, 1993

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Title: Decision Support Systems

Code number

11400

Workload

180 h

Credits

6

Semester

1. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) Project management

b) Decision Support Methods

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. habil. Waldemar Czuchra

Course No.: Course: Projectmanagement

Docent: Herr Vöge

Semester: 1 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Decision Support Methods

Docent: Prof. Dr.habil. Waldemar Czuchra

Semester: 1 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

In the course “Project Management” the students will gain basic knowledge of project planning, project management and project control. They will learn methods for developing an appropriate project structure and monitoring project progress (performance), deadlines and costs. Knowledge acquired in the course enables students to design management structures, to motivate and lead a team, to define project documentation framework and to control its compliance.

In the course “Decision Support Methods” the students will become familiar with methods of decision support systems. They will learn to evaluate which logistics problems can be solved with the help of these systems. The students should be able to formulate upcoming problems mathematically, apply proper software tools and present achieved results effectively to decision-makers. Moreover, the course presents exemplary decision support systems.

3 Course contents

a) Project management

Basic techniques and methods of project management (network design - critical path method, allocation of resources)

Time, cost and capacity planning

Project organisation and implementation

Project planning

Project team, project leader

Project documentation

Introduction to MS-Project

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b) Decision Support Methods

Principles – complexity of decision making

Structure of decision problem

Decision making under various information about environment

Decision making with one goal and upon certainty

Decision making with many goals and upon certainty

Decision trees

Group decisions 1. Simulation tools for strategic decision making

4 Teaching methods

Readings, Laboratories

5 Prerequisites for course participation

Principles of Information Technology in Logistics (bachelor course)

6 Type of examination

Projectmanagement

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

Decision Support Methods

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting 20 % 80 %

Duration [h]

7 Requirements for allocation of Credit points

Presentation, Student project

8 Application of the module (other courses of studies)

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr.habil. Waldemar Czuchra

11 Additional information

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Language of teaching: German

Literature:

a) Project management

1. B. Klose: Student projectabwicklung, Ueberreuter, 1996 2. Heinz Schelle: Student projecte zum Erfolg führen. Student projectmanagement systematisch and kompakt, DTV-Beck, 2001 3. H.-D. Litke, Ilonka Kunow: Student projectmanagement, Haufe Verlag, 2001 4. Renke Holert, Steffen Reister: Microsoft Office Project 2003, m. CD-ROM Microsoft Press Deutschland, März 2004

b) Decision Support Methods

1. George M. Marakas: Decision Support Systems and Megaputer with CDROM Prentice Hall 2002 2. Hamparsum Bozdogan: Statistical Data Mining & Knowledge Discovery Chapman & Hall/CRC, 2003 3. J.A. Lawrence, B. A. Pasternack: Applied Management Science, J. Wiley & Sons, 1998

1. Franz Eisenführ, Martin Weber: Rationales Entscheiden, Springer, 2003

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Title: Packaging Management and Reverse Logistics

Code number

21000

Workload

180 h

Credits

6

Semester

2.-3. Sem.

Frequency

winter semester, summer semester

Length

2 Semester

1 Course

a) Packaging Management, lecture and lab

b) Reverse Logistics, lecture

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Dieter Heimann

Course No.: Course: Packaging Management

Docent: Prof. Dr. Dieter Heimann

Semester: 2 Course weighting: 0,5 SWS Course: 1

Course No.: Course: Packaging Management Lab

Docent: Prof. Dr. Dieter Heimann

Semester: 2 Course weighting: SWS Course: 1

Course No.: Course: Reverse Logistics

Docent: Prof. Dr. Dieter Heimann

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The course “Packaging Management” enables the students to design adequate transport packages tailored to meet functional, economic and environmental requirements. The students are capable of designing and evaluating alternative packagings after careful and comprehensive consideration, regarding the needs of product, storage, transportation, handling and recycling after use. In the course “Reverse Logistics” the students will gain basic knowledge in backward material flow and waste management. They will become familiar with technologies, organizational measures and legal regulations in order to build up reverse logistics processes (=> reduced consumption of limited resources and less environmental impact). In both courses of the module, case studies emphasize the practical aspects of the topics. An additional requirement of the course “Packaging Management” is proof of successfully completed laboratory work (experiments and laboratory reports). In course “Reverse Logistics” students are requested to take care about a specific topic and give a presentation, which will enhance their linguistic, presentation and self-organising skills as well as their knowledge in reverse logistics.

3 Course contents

a) Content Packaging Management

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Terms and definitions, facts and figures about packaging manufacturing and consumption

Transport packages for packaged goods, bulk goods and liquids

Requirements for functional, efficient and environmental friendly implementation of transport packages

Packaging planning as a multi criteria decision making process

Computer-based packaging design

Selection and design of various packages, means for load securing and cargo care

Preshipment testing and data evaluation

Life cycle of packages – collection, reusing and recycling b) Content Reverse Logistics

Terms and definition

Reasons and aims of backward material flows

Legal regulations

Waste arising and content

Waste collection, vehicles, container, transfer station

Avoidance, recovery, recycling, treatment and disposal

Reusable transport packages – forms, system operator

Advanced technologies in closed loop cycling systems

3rd and 4th Party Reverse Logistics Services

Reverse Logistics Software 1. Case studies – waste cycles and cycles of recyclable materials

4 Teaching methods

Lecture, Laboratories

5 Prerequisites for course participation

Basic knowledge in Logistics and Packaging Technology

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6 Type of examination

Packaging Management

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting 100 %

Duration [h] 1,5

Reverse Logistics

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h] 1,5

7 Requirements for allocation of Credit points

Passed examination, presentation, completed laboratory work

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr. Dieter Heimann

11 Additional information

Language of teaching: English

Literature:

1. Blumberg, D.F.: Reverse Logistics and Closed Loop Supply Chain Processes, CRC Press, Boca Raton, 2005

2. Dyckhoff, H.; Lackes, R.; Reese, J.: Supply Chain Management and Reverse Logistics, Springer-Verlag, Heidelberg, 2004

3. Dekker, R.; Fleischmann, M.; Inderfurth, K.; Wassenhove, L.: Reverse Logistics, Springer-Verlag, Heidelberg, 2004

4. Rationalisierungs-Gemeinschaft Verpackung (Hrsg.): RGV-Handbuch Verpackung: Expertenwissen für die Praxis, - Berlin, Erich Schmidt Verlag, 1999

5. Fraunhofer Gesellschaft e.V. (Hrsg.): Verpackungstechnik – Mittel und Methoden zur Lösung der Verpackungsaufgabe, - Heidelberg, Hüthig-Verlag, 2004

6. Cord-Landwehr, Klaus: Einführung in die Abfallwirtschaft, 3. Auflage, - Stuttgart, Teubner Verlag, 2002

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Title: Electives 1 – General studies

Code number

21120

Workload

75 h

Credits

2,5

Semester

2.-3. Sem.

Frequency

winter semester, summer semester

Length

2 Semester

1 Course

a) General studies

Contact time

2 SWS / 30 h

Self-study

45 h

Group-size

20 students

Responsible person: Prof. Dr. Thomas Wieske

Course No.: 21120 Course: General studies

Docent: NN

Semester: 2 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

Depending on the course

3 Course contents

Depending on the course

4 Teaching methods

Lectures

5 Prerequisites for course participation

/

6 Type of examination (optional)

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X X X

Weighting

Duration [h]

7 Requirements for allocation of Credit points

passed essay, oral examination, study project, presentation

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

3,9 %

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10 Lecturer

Depending on the course

11 Additional information

Language of teaching: German/English

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Title: Personnel Placement, Contracts of Employment (Electives 1)

Code number

21110

Workload

75 h

Credits

2,5

Semester

3. Sem.

Frequency

each winter semester

Length

1 Semester

1 Course

a) Personnel Placement, Contracts of Employment

Contact time

2 SWS / 30 h

Self-study

45 h

Group-size

20 students

Responsible person: Prof. Dr. Thomas Wieske

Course No.: 21110 Course: Personnel Placement, Contracts of Employment

Docent: Prof. Dr. Thomas Wieske

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The course mediates basic knowledge to contracts of employment and enables to use these. The students will have large relating to contracts of employment later, for example in situations of job applications, closures of their own contracts, as well as leaders with human resource responsibilities. They will learn that projects as well can lead to personnel employment law consequences for a third party. The students will learn as well to react wisely in practical situations and to use their knowledge to avoid mistakes.

3 Course contents

1. Introduction, talks about the outlines and the presentation

2. employment law/ Differences of the contract of employment/personnel servive contract

3. What is part of the contract of employment?

- rights and responsibilities of employees

- rights and responsibilities of Ltd employees

- rights and responsibilities of business leaders

4. strategies in contract negotiations

5. strategies of human resource developments in logistics companies

6. data protection & employment law

7. application training with companies and master students

8. Compliance: Whom I have to show more loyalty- your company or your country? (Compliance in German companies, Compliance in US companies)

9. summary/ closure with practitioner

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4 Teaching methods

Lectures

5 Prerequisites for course participation

/

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

passed essay, oral examination, study project, presentation, 80% compulsory attendance

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

2,0 %

10 Lecturer

Prof. Dr. Wieske

11 Additional information

Language of teaching: German/English

Literature:

1. Gesetzestexte: BGB, Wichtige Arbeitsgesetze, NWB-Textausgabe; Arbeitsrecht C.H Beck . 2. Teschke-Bährle, Arbeitsrecht –schnell erfasst, Berlin 2006, ISBN 3-540-32541-7; 6.Aufl. 3. Etzel/Griebeling/Liebscher, Arbeitsrecht, 9. Aufl., nwb-Verlag; 1. Ergänzende Ausführungen im Download, www.ilrm.de, Arbeitsrecht

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Title: Technical Risks due to Hazardous Materials

Code number

21200

Workload

180 h

Credits

6

Semester

2.-3. Sem.

Frequency

winter semester, summer semester

Length

2 Semester

1 Course

a) Risk Assessment, Loss Prevention

b) Safety management-systems in hazardous materials transportation

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Wolfgang Schwanebeck

Course No.: Course: Risk Assessment, Loss Prevention

Docent: Prof. Dr. Wolfgang Schwanebeck

Semester: 2 Course weighting: 0,5 SWS Course: 1

Course No.: Course: Risk Assessment, Loss Prevention Lab

Docent: Prof. Dr. Wolfgang Schwanebeck

Semester: 2 Course weighting: SWS Course: 1

Course No.: Course:

Safety management systems in hazardous materials tranpsortation

Docent: Prof. Dr. Wolfgang Schwanebeck

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The students are able to analyse a company with main focus on hazardous materials and goods logistics on the physical-chemical-toxic risks. Based on potential events they can transfer following cascade events. As well they can evaluate with help from a simulation program following failures and estimate event risks. Based on a risk philosophy they self-developed they can make qualitative a ranking of risks and can proof them on consistency.

The students can develop safety management systems for company areas. They are able to develop on the base of risk analysis risk prevention and to integrate them into a safety management system. The students know the parallels of Safety and Quality management systems.

As well as knowledge the students will get a special knowledge over risk analysis, risk and safety management. The existing technics to work academic will be developed, to abstract, the ability to judge, logical and analytical thinking.

During analysing and evaluating complex events the competence to identify links and backgrounds. There is a strong appeal to think in networks, because possible damage causes

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are multidisplinary. Unknown circumstances as well as theory will be included in the work. As the project work is going over two semesters, social competences like leading and team work as well as self-organisation is developed.

3 Course contents

Hazardous materials and goods can damage people, objects and the environment heavily. The students should identify in their project groups technical risks by using hazardous materials and goods and rate them (Part I). Following they develop a risk management to integrate preventions, limit damage and fighting in coordination with the company (Part II).

Part I

normal operations in the hazardous materials and goods logistic

risk identification: Differences from the normal operation

damage scenario

quality and quantity risk analysis as well as risk evaluation and prioritize

Part II

After a general instruction to safety management systems every project group will develop for a specific (group orientated) company a safety management system with the following questions:

detection of required arrangements to assure the normal operation

arrangements to minimize the risks (prevention, damage limiting and fighting) based on Part I

risk communication

emergency plan

safe operations of changes

testing of the safety management systems through a operation in the normal operation

testing of the safety management systems through observing an accident

4 Teaching methods

Project

5 Prerequisites for course participation

contentwise: successful attendance in Physical-chemical Safety Engineering I and II is recommended

6 Type of examination

Risk Assessment, Loss Prevention

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

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Designated X X

Weighting

Duration [h]

Safety management-systems in hazardous materials transportation

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting

Duration [h]

7 Requirements for allocation of Credit points

passed examination, study project, presentation

8 Application of the module (other courses of studies)

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr. Wolfgang Schwanebeck

11 Additional information

Language of teaching: German/English

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Title: International Law for Logisticians

Code number

21300

Workload

150 h

Credits

5

Semester

2. Sem.

Frequency

each summer semester

Length

1 Semester

1 Course

a) English for Logisticians

b) Law for Logisticians

Contact time

4 SWS / 60 h

Self-study

90 h

Group-size

20 students

Responsible person: Prof. Dr. Thomas Wieske

Course No.: Course: English for Logisticians

Docent: Dr. phil. Edmund Voges

Semester: 2 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Law for Logisticians

Docent: Prof. Dr. Thomas Wieske

Semester: 2 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The module is directed to students of the logistics course with profound knowledge of English, corresponding to at least level B2 of the Common European Framework of Reference for Languages, with solid knowledge of logistics and basics of business law, transport law and insurance law.

The module aims at the application of logistics knowledge in practice with regard to economic issues in international law and dealing with contractual matters in English. The main focus of the module is put on the ability to negotiate in English.

3 Course contents

a) English for Logisticians

The students will develop their communication skills, particularly in international contexts and improve their presentation techniques with the preparation of business and marketing plans and/or the analysis of legal frameworks in international contexts. In discussions, the negotiation competences will be practiced. With online role plays students will be able to improve their business correspondence skills in English. The subjects covered in the role plays are based on human resource management, Technical English, Business English and international law.

b) Law for Logisticians

The students will develop their communication skills and presentation techniques in international contexts. The first part of the course introduces students to international conventions (CMR; MÜ; CIM(99); Hague-Visby Rules, Maritime Law). In the second part, students will develop their negotiating abilities in economic and legal contexts..

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4 Teaching methods

Group work, Lectures, presentation

5 Prerequisites for course participation

English: B2 -Level

B.A. or its equivalent with proof of performance in law

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X X

Weighting 50 % 25 % 25 %

Duration [h]

7 Requirements for allocation of Credit points

written examination, presentation, essay

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

3,9 %

10 Lecturer

Prof. Dr. Thomas Wieske

Dr. Edmund Voges

11 Additional information

Language of teaching: German/English

Literature:

1. Wieske, Thomas Transportrecht schnell erfasst, 2.Aufl., 2008 2. Ramberg, The law of freight forwarding; 3. Vorlesungsskript Wieske 4. Vorlesungsskript Voges

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Title: Process and Cost Management

Code number

21400

Workload

150 h

Credits

5

Semester

2. Sem.

Frequency

each summer semester

Length

1 Semester

1 Course

a) Supply Chain Management

b) Logistics Controlling

Contact time

4 SWS / 60 h

Self-study

90 h

Group-size

20 students

Responsible person: Prof. Dr. Jochem Piontek

Course No.: Course: Supply Chain Management

Docent: Prof. Dr. Jochem Piontek

Semester: 2 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Logistics Controlling

Docent: Prof. Dr. Jochem Piontek

Semester: 2 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The module explains how to plan, organize, manage and control the whole supply chain. The students will learn how to organize the cross-company cooperation between suppliers, producers, distributors, dealers and consumers. The main focus of the module is placed on the importance of the network design and supply chain collaboration with its wide range of possibilities for cost reduction. The students will recognize that the focus of logistics has changed – from the function optimization to the process chain optimization, i.e. to cross-company integration of networks. The students will learn that in the Internet era the limiting factor is no longer the production or assembly facility, but the information and customer relationship management. The special emphasis is placed therefore on knowledge, learning and reliance on performance processes and project experience. The students should understand that the companies no longer compete with one another – the logistics networks are the ones that compete. Moreover, the module introduces the key elements of logistics controlling and controlling instruments that make it possible to organize networks in an effective way. Students will also learn how to apply controlling tools in logistics practice.

3 Course contents

a) Supply Chain Management

The course presents cross-company possibilities of supply chain and process chain optimization.

Goals of supply chain management

Driving factors of supply chain management

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Collaborative planning, forecasting and replenishment (CPFR)

Continuous replenishment

Vendor managed inventory

Inventory collaboration

Order collaboration

Transport collaboration

Capacity collaboration

Advanced planning and scheduling (APS)

Different supply chain designs

b) Logistics Controlling

The course shows the possibilities of holistic planning, coordination and control of a supply chain as well as cost reduction possibilities.

Supply chain controlling

4 Teaching methods

Lectures

5 Prerequisites for course participation

Module Logistics Management of the Bachelor degree course Transport Engineering/Logistics

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

presentation, essay

8 Application of the module (other courses of studies)

9 Percentage of overall final grade

3,9 %

10 Lecturer

Prof. Dr. Jochem Piontek

11 Additional information

Language of teaching: English

Literature:

1. Stock, James: Strategic Logistics Management, New York, newest edition

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2. Lambert Douglas/Woods, Donald: International Logistics, New York, newest edition 3. Long, Douglas: International Logistics, Norwell, Mass./USA, newest edition 4. Piontek, J: Bausteine des Logistikmanagement, 3. Aufl, Herne/Berlin 2009

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Title: Simulation and Artificial Intelligence

Code number

21500

Workload

180 h

Credits

6

Semester

2. Sem.

Frequency

each summer semester

Length

1 Semester

1 Course

a) Simulation and Optimization of Operational Procedures

b) Data Mining

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Walter Fedderwitz / Prof. Dr. habil. Waldemar Czuchra

Course No.: Course: Simulation and Optimization

Docent: Prof. Dr. Walter Fedderwitz

Semester: 2 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Data Mining

Docent: Prof. Dr.habil. Waldemar Czuchra

Semester: 2 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

On the basis of practical examples from the field of transport and in-house material flow, the students will become familiar with design, process and application of simulation systems. They will use simulation systems for planning and optimizing business processes – material flow, warehouse organization, transport fleet and resource planning (personnel planning). From a methodological perspective the processes described are interactive, mostly stochastic processes with waiting times, processing times and breakdowns. Statistical methods will be used to assess and judge the results of simulation runs.

The course “Data Mining” provides students with processes, methods and techniques of data mining and enables them to search for information in huge amount of data in day-to-day situations. The term information is interpreted here as universally valid, not trivial, new, useful and understandable patterns und rules.

3 Course contents

a) Simulation and Optimization of Operational Procedures

Overview of essential mathematical foundations with emphasis on stochastic

Introduction to a simulation tool (emPlant) – performing simulation and optimization tasks using modern simulation tools

Relation between simulation experiments, theoretical calculations and stochastic modeling

Carrying out, evaluating and optimizing hands-on simulation project

Statistics and stochastic processes in simulation of operational procedures

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b) Data Mining

Introduction to Data Mining (data preparation, rule identification)

Data Mining problems (classification, estimation, prediction, clustering, affinity analysis)

Techniques of data mining, decision trees, neural nets networks Introduction to Data Mining tool

4 Teaching methods

Readings, Laboratories

5 Prerequisites for course participation

Module Basic Informatics (bachelor course) Module Algorithms Data Structures and Programming (bachelor course) Module Software Development (bachelor course) Module Mathematics (bachelor course)

6 Type of examination

Simulation and Optimization

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting 100 %

Duration [h] 3

Data Mining

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting 30 % 70 %

Duration [h]

7 Requirements for allocation of Credit points

written exam, Student project, 2 separate exams

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr.-Ing. Walter Fedderwitz Prof. Dr.habil. Waldemar Czuchra

11 Additional information

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Language of teaching: English

Literature:

a) Simulation and Optimization of Operational Procedures

1. Skripts of mathematics module (Bachelorstudiengang) 2. J. Kohlas: Stochastische Methoden des Operations Research, Teubner, 1977 3. Bronstein, Semendjajew, Musiol, Mühlig: Taschenbuch der Mathematik, Verlag Harry Deutsch, Thun and Frankfurt am Main, 2000, 5. Auflage 4. Fisz: Wahrscheinlichkeitsrechnung and mathematische Statistik, VEB Verlag der Wissenschaften, Berlin, 1970 5. Eduard Pestel: Technische Mechanik, BI, 1969 6. Richard Becker: Vorstufe zur Theoretischen Physik, Springer, 1972 7. S. Großmann: Mathematischer Einführungskurs in die Physik, Teubner, 1984 8. Gerhard Hübner: Stochastik, Vieweg Verlag, 1996 9. U. Kiencke: Ereignisdiskrete Systeme, Oldenbourg, 1998 10. M.R. Schroeder: Number Theory in Science and Communication, Springer Verlag, 2nd. ed. 1986 11. Press, Teukolsky, Vetterling, Flannery: Numerical Recipes in C, Cambridge University Press, 2nd ed, 1992 12. Stephen Wolfram: Mathematica, 4th ed, Wolfram Research Inc, (This is not a book but an CAS System) 13. eth Eidgenössische Technische Hochschule Zürich: [http://www.aoa.ethz.ch/eth-intern/00-01/12_00-01/Mond_12_00-01.html] 14. W.H. Press, S.A. Teutowsky, W.T.Vettering, B.R.Flannery: Numerical Recipes in c Cambridge University Press, 1992, Second Edittion

b) Data Mining

1. OnLine Help PASW Modeler v. 14 – SPSS Inc., 2010 2. M.J.A. Berry, G. Linoff – Data Mining Techniques, John Wiley & Sons, Inc. 1997

1. Ian H. Witten, Eibe Frank: Data Mining, Hanser Verlag, 2001

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Title: Risk Management and Logistics Law

Code number

21600

Workload

180 h

Credits

6

Semester

2. - 3. Sem.

Frequency

winter semester, summer semester

Length

2 Semester

1 Course

a) Risk Management

b) Logistics-Contracts

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Thomas Wieske

Course No.: Course: Risk management

Docent: Prof. Dr. Thomas Wieske

Semester: 2 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Logistics contracts

Docent: Prof. Dr. Thomas Wieske

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The students will gain an overview of risk management in modern enterprises, particularly in logistics companies.

The potential risks will be discussed under legal, economic and environmental aspects, and according to privacy and consumer protection issues. With the help of exercises and practical examples the students will determine and estimate risks, and develop risk prevention and minimization strategies.

The exercises and part of lectures, particularly the international aspects, will take place in English.

3 Course contents

1. The meaning of risk management 2. Aspects of modern risk management 3. Risk management strategies under economic aspects 4. Problems of risk management - privacy and consumer protection issues 5. Prospects of modern risk management to increase sales 6. Risk management and bankruptcy 7. Aspects of international risk management 8. Risk management and international air transportation 9. Risk management and international sea transportation 10. Legal defense strategies

-Analyses of risks and strategies to minimize this risks -To learn to cover risks by contracts and by insurances -Drafting different kind of contracts regarding the risks.

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4 Teaching methods

a) Lectures and excercises

b) Lectures

5 Prerequisites for course participation

Bachelor’s degree with courses in business law, logistics law, basics of transport and insurance law and the course Law for Logisticians

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting 50 % 50 %

Duration [h]

7 Requirements for allocation of Credit points

essay, presentation

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr. Thomas Wieske

11 Additional information

Language of teaching: German/English

Literature:

1. Wieske/Kollatz/ Salzmann, Logistik-AGB, 2006, Vogel-Verlag, 2. Wieske, Probleme und Chancen durch Logistikverträge, 2006, EUROFORUM- Verlag. 3. Hector (Hrsg.) Riskmanagement in der Logistik, 2006, DVZ-Verlag, 2006. 4. Possekel, Ausschreibung in der Logistik, Vogel-Verlag, 2008 5. Braun (Hrsg.) Logistikverträge, 2009. 6. Wieske, Logistikrecht, EURO-FH-Verlag, 2010.

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Title: Production Planning and Quality Management

Code number

31000

Workload

180 h

Credits

6

Semester

3. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) Production Planning

b) Total Quality Management

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Ernst-Jürgen Ribbert

Course No.: Course: Production planning

Docent: Prof. Dr. Ernst-Jürgen Ribbert

Semester: 3 Course weighting: 0,25 SWS Course: 1

Course No.: Course: Production planning Lab

Docent: Prof. Dr. Ernst-Jürgen Ribbert

Semester: 3 Course weighting: 0,25 SWS Course: 1

Course No.: Course: Total Quality Management

Docent: Prof. Dr. Ernst-Jürgen Ribbert

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The subject matters of TQM are changing continuously in the view of practical and theoretical approaches. In the course “Total Quality Management” the students will become acquainted with the modern methods of quality assurance and quality management. Nowadays, these methods are applied in almost every well-established company worldwide. The aim of the lecture and laboratory course “Production Planning” is to enable students to understand the principles of the whole supply chain, using SAP software as a tool for it. Laboratory classes provide comprehensive training in SAP applications and give students the opportunity to work on projects and present solutions to selected logistics problems in the field of production planning and control using SAP products, primarily the modules PP (Production Planning), MM (Material Management), LO (Logistics) and SD (Sales & Distribution).

3 Course contents

a) Production Planning

Supply Chain Management in SAP

Kanban in SAP

SAP Road Map (SAP introduction strategy)

SAP-branch solutions

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Supply Chain Management in SAP

Presenting complex company models

R/3 reference model

Business Engineering: customizing/process model; workbench

b) Total Quality Management

Total Quality Management (TQM)

Deming cycle (Plan-Do-Check-Act)

DIN ISO 9000-9004

Poka Yoke

Ishikawa diagram

Kaizen

FMEA (Failure Mode and Effect Analysis

Quality Function Deployment (QFD)

Statistical Process Control (SPC)

5S-Method

8-D Problem Solving

4 Teaching methods

Lectures, Laboratories

5 Prerequisites for course participation

Total Quality Management: statistics

Production Planning - Laboratory: basics of SAP 6 Type of examination

Production Planning

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X

Weighting 50 % 50 %

Duration [h] 1 0,5

Total Quality Management

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h] 1

7 Requirements for allocation of Credit points

passed examination, study project

8 Application of the module (other courses of studies)

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/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr. Ernst-Jürgen Ribbert

11 Additional information

Language of Lecture TQM – English, Production Planning - German

Literature:

a) Production Planning

1. Ribbert, Ernst-Jürgen: Vorlesungsumdruck Grundlagen der PPS, 2010 2. o.V.: SAP Firmenschrift, Branchenlösungen in SAP, neueste Ausgabe 3. Hantusch, T.; Matzke, B.; Pèrez, M.: SAP R/3 im Internet – Globale Plattform für

Handel, Vertrieb und Informationsmanagement. Addison-Wesley, Bonn 1997 4. Keller, G.; Teufel, T.: SAP R/3 prozessorientiert anwenden – iteratives Prozess-

Prototyping zur Bildung von Wertschöpfungsketten. 1st Edition, Addison-Wesley, Bonn 1997

5. Will, L.; Hienger, C.; Straßenburg, F.; Himmer, R.: Administration des SAP-Systems R/3 – Leitfaden zur Systembetreuung und –optimierung. 2nd Edition, Addison-Wesley, Bonn, 1997

b) Total Quality Management

1. Ribbert, Ernst-Jürgen: Vorlesungsunterlagen 2010 2. Seghezzi, H.-D.: Integriertes Qualitätsmanagement. Das St. Galler Konzept. Carl

Hanser Verlag München, neueste Ausgabe 3. Seibert, S.: Technisches Management: Innovationsmanagement, Projectmanagement,

Qualitätsmanagement, Teubner Verlag, Stuttgart, Leipzig, neueste Ausgabe 4. Warnecke, H.-J.: Handbuch Qualitätstechnik. Methoden und Geräte zur effizienten

Qualitäts-sicherung. Verlag Moderne Industrie, Landsberg/Lech, neueste Ausgabe 5. Rothlauf, J.: Total Quality Management in Theorie und Praxis. Zum ganzheitlichen 6. Unternehmensverständnis. 3. Auflage, Oldenbourg-Verlag, München, 2010

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Title: Logistics Management

Code number

31200

Workload

150 h

Credits

5

Semester

2.-3. Sem.

Frequency

winter semester, summer semester

Length

2 Semester

1 Course

a) Strategic Logistics Management

b) Global Operations Management

Contact time

4 SWS / 60 h

Self-study

90 h

Group-size

20 students

Responsible person: Prof. Dr. Jochem Piontek

Course No.: Course: Strategic Logistics Management

Docent: Prof. Dr. Jochem Piontek

Semester: 3 Course weighting: 0,5 SWS Course: 2

Course No.: Course: Global Operations Management

Docent: Prof. Dr. Jochem Piontek

Semester: 2 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

Based on the module “Logistics Management” of the Bachelor degree course Transport Engineering/Logistics, the module covers strategic processes and global trends in logistics and reviews the functions of strategic planning, scheduling and controlling in logistics. With the help of case studies the students will learn to evaluate methods and instruments of strategic decision making.

The students will become familiar with logistics management in a context of logistics function and the factor of success. They will become acquainted with possibilities of operative and strategic logistics planning with regard to business and cooperation strategies, as well as model-driven decision support systems in logistics.

The principal focus of the module is logistics in a global context and practice oriented application of knowledge.

3 Course contents

Development in international trade and transport

Global trends in logistics

Decision strategies in transportation

The global marketplace – uncontrollable and controllable elements

The strategic logistics plan

Evaluation and selection of target markets

4 Teaching methods

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Lectures

5 Prerequisites for course participation

Vorkenntnisse:

Module Logistics Management of the Bachelor degree course Transport Engineering/Logistics

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

passed essay, presentation

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

3,9 %

10 Lecturer

Prof. Dr. Jochem Piontek

11 Additional information

Language of teaching: English

Literature:

1. J. Piontek: Bausteine des Logistikmanagement,3 Auflage, Herne/Berlin 2009 2. Kuhn A./ Hellingrath, B.: Supply Chain Management, Berlin 2002 3. D. Waters: Logistics, Hamsphire 2002. 4. J. Piontek: Controlling München, 3. Auflage 2005 5. J. Piontek: Beschaffungcontrolling, 3. Auflage 2004 6. Censkowsky T./Piontek, J.: Logistikcontrolling, Gernsbach 2008

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Title: Global Management

Code number

31300

Workload

180 h

Credits

6

Semester

3. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) Business Management

b) Organizational Theory

Contact time

4 SWS / 60 h

Self-study

120 h

Group-size

20 students

Responsible person: Prof. Dr. Jochem Piontek

Course No.: 31310 Course: Business Management

Docent: Prof. Dr. Jochem Piontek

Semester: 3 Course weighting: 0,5 SWS Course: 2

Course No.: 31320 Course: Organizational theory

Docent: Prof. Dr. Jochem Piontek

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

The module covers methods of business management and organisation of global enterprises. Furthermore, recent trends in the subject will be critically discussed.

3 Course contents

Theory of multinational enterprises

Identity-oriented intercultural human resources management

Result oriented management of multinational enterprises

International cooperation’s and joint ventures

Behavior of staff

Negotiation skills

Performance behavior and appraisal

Executive development

Corporate downsizing

4 Teaching methods

Lectures

5 Prerequisites for course participation

Title Logistics-Management

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6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

Passed homework / presentation

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

4,7 %

10 Lecturer

Prof. Dr. Jochem Piontek

11 Additional information

Language of teaching: German

Literature:

1. Schoppe, Siegfried, Kompendium der Internationalen Betriebswirtschaftslehre, München, neueste Fassung

2. Schmelzer, H./Sesselmann, W.: Geschäftsprozessmanagement, 6. Auflage, München 2008

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Title: Project for Master Thesis

Code number

41000

Workload

150 h

Credits

5

Semester

4. Sem.

Frequency

Summer semester

Length

1 Semester

1 Course

a) Project for Master Thesis

Contact time

2 SWS / 30 h

Self-study

120 h

Group-size

20 students

Responsible person:

Course No.: Course: Project for Master Thesis

Docent:

Semester: 4 Course weighting: SWS Course: 2

2 Learning outcomes / Objectives

The project has special significance for the exchange of views and experiences between students, as now most of them have to achieve their respective goal as an individual.

The students get the opportunity to discuss their findings with their classmates in order to verify the accuracy of their results and increasing the quality of the presentation of scientific papers.

3 Course contents

The knowledge gained from the teachers varies depending on the subject matter of the work. Focus will be problem-solving strategies and applied project management.

4 Teaching methods

Project

5 Prerequisites for course participation

at least 80 CP must be acquired by registration of the Master's thesis

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

Passed project

8 Application of the module (other courses of studies)

9 Percentage of overall final grade

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5,0 %

10 Lecturer

Alle lecturer

11 Additional information

Language of teaching: German/English

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Title: Masterthesis

Code number

49000

Workload

750 h

Credits

25

Semester

4. Sem.

Frequency

Each summer semester

Length

1 Semester

1 Course

a) Master Thesis

Contact time

0 SWS / 0 h

Self-study

750 h

Group-size

Responsible person: NN

Course No.: 49010 Course: Master Thesis

Docent: NN

Semester: 4 Course weighting: 0,8 SWS Course: 0

Course No.: 49020 Course: Colloquium

Docent: NN

Semester: 4 Course weighting: 0,2 SWS Course: 0

2 Learning outcomes / Objectives

The master thesis is there to give students the opportunity to independently work on a scientific problem, to develop their own solutions and to publish..

3 Course contents

The contents are based on the needs of businesses and up-to-date logistics scientific problems. 4 Teaching methods

5 Prerequisites for course participation

at least 80 CP must be acquired by registration of the Master's thesis

6 Type of examination

Master Thesis

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

Colloquium

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Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

Colloquium, Thesis

8 Application of the module (other courses of studies)

9 Percentage of overall final grade

20 %

10 Lecturer

All docents

11 Additional information

Language of teaching: German/English

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Title: Material flow techniques and Automation (Electives 2)

Code number

31110

Workload

60 h

Credits

2

Semester

3. Sem.

Frequency

each winter semester

Length

1 Semester

1 Course

a) Material flow techniques and Automation

Contact time

2 SWS / 30 h

Self-study

30 h

Group-size

10 students

Responsible person:

Course No.: 31110 Course: Material flow techniques and automation

Docent: Prof. Dr.-Ing. Friedhelm Wesselmann

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

3 Course contents

4 Teaching methods

Lectures, Laboratories

5 Prerequisites for course participation

6 Type of examination (alternative)

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X X X

Weighting 100 % 100 % 100 %

Duration [h] 1

7 Requirements for allocation of Credit points

Passed homework / presentation, project

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

1,6 %

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11 Additional information

Language of teaching: German/English

Title: Problems in international transport law (Electives 2)

Code number

31120

Workload

60 h

Credits

2

Semester

3. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) Problems in international transport law

Contact time

2 SWS / 30 h

Self-study

30 h

Group-size

10 students

Responsible person:

Course No.: 31120 Course: Problems in international transport law

Docent: Prof. Dr. Thomas Wieske

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

Die Studierenden sollen sich mit Problemen in fremden (ausländischen) Wirtschafts- und Rechtsordnungen auseinandersetzen können. Sie üben dies an realen Fallstudien.

3 Course contents

The Course contents are topical and are oriented to controversial aspects of the international exchange:

1. Law of data protection in international companies: What does it mean, if the server is in a foreign country?

2. Problems of international piracy: What does it mean for the parties in the sea freight?

3. Safety requirements in the international trade: Necessary or problems of a free trade?

4. Justification of modern piracy: Solving of problems of injustice

5. Model of internatainal equation between states

6. Basics of Islamic law for trade and transport

7. Succesful combination Orient / Okzident, e.g. VAE

8. The English theory of common carriers – Understanding of theory, practice and development

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4 Teaching methods

Seminar

5 Prerequisites for course participation

/

6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

Presentation (20/30 Minutes) + written presentation + Handout

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

1,6 %

10 Lecturer

Prof. Dr. Wieske

11 Additional information

Language of teaching: German/English

Literature:

1. Gesetzestexte: BGB, HGB, Transportgesetze ( §§ 407 ff. HGB; ADSp, CMR, CIM, WA, MÜ, Logistik-AGB, BIFA-Conditions)

2. Wieske, Thomas: Transportrecht –schnell erfasst, 2. Auflage, Berlin 2008 3. Koller, Ingo, Transportrecht, 6. Aufl., München 2008 4. Müglich, Andreas: Transport- und Logistikrecht, München, 2002. 5. Enge, Hans Joachim: Transportversicherung, 2. Aufl., Wiesbaden, 1987 6. Dubischar, Roland: Die einzelnen Versicherungszweige, Verlag Versicherungswirtschaft,

2003 7. www.springer.de/recht/wieske/aktualisierungen ( zu den ADSp 2003, Montrealer

Übereinkommen)

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Title: Planning of Material Flow Systems (Electives 2)

Code number

31130

Workload

60 h

Credits

2

Semester

3. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) Planning of Material Flow Systems

Contact time

2 SWS / 30 h

Self-study

30 h

Group-size

10 students

Responsible person: Prof. Dr. Ernst-Jürgen Ribbert / Prof. Dr. Walter Fedderwitz

Course No.: 31130 Course: Plannin g of material flow systems

Docent: Prof. Dr. Ernst-Jürgen Ribbert / Prof. Dr. Walter Fedderwitz

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

Recognize of relations at simulations of material flows by reference to an automobile manufacturer with a flow production and a supply of the conveyor-belt with trolleys.

Basic understanding of using a material flow simulation and – optimization by referenc tot he software MPLANT

Installation and understanding at the formulation of a distance matrix, strategy of driving and an interruption of the conveyor-belt. (Avoidance of a stop).

Reflection of profitability and plausibility

3 Course contents

Simulation and optimization of material flows Using software MPlant Distance matrix Analyze of a hall layout Supplying and assembling of materials to the assembly line Order picking Planning of routes and disposal of trolleys regarding capacity and routes Short reflection of profitability

4 Teaching methods

Project, Laboratory

5 Prerequisites for course participation

Formal: Qualification for Mastercourse LEM

Contentual: Basics of planning of material flows and MPlant

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6 Type of examination

Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h]

7 Requirements for allocation of Credit points

Passed project

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

1,6 %

10 Lecturer

Prof. Dr. Ernst-Jürgen Ribbert / Prof. Dr. Walter Fedderwitz

11 Additional information

Language of teaching: German/English

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Title: Green Logistics (Electives 2)

Code number

31140

Workload

60 h

Credits

2

Semester

3. Sem.

Frequency

Each winter semester

Length

1 Semester

1 Course

a) Green logistics

Contact time

2 SWS / 30 h

Self-study

30 h

Group-size

10 students

Responsible person:

Course No.: 31140 Course: Green logistics

Docent: Prof. Dr. Ernst-Jürgen Ribbert

Semester: 3 Course weighting: 0,5 SWS Course: 2

2 Learning outcomes / Objectives

This lecture shows aspects of practicing logistics under environmental aspects („Green Logistics“). The various possibilities, basics and strategies of this “specific discipline” are worked out. Students get ideas about various aspects and activities in “Green Logistics”.

The student shall get knowledge about strategic, tactical and operational activities for his professional tasks, e.g. as a planner in (green) logistics. The lecture puts a focus on environmental considerations. It tries to give hinces in harmonization of economy, technics and ecology.

3 Course contents

Sustainability of transports

economic planning versus ecological planning

green Intralogistics

Green-Tech-solutions in logistics

„ecological concernment“ in Supply Chain. Economic, ecological and social aspects

Groups of claim in „Green Supply Chain“

Customer, market and product in „Green Logistics“

Structures and planning aspects in “Green Logistics”

Processes, process-control and measuring in “Green Logistics”

Technologies and resources in “Green Logistics”

Quality aspects in “Green Logistics”

4 Teaching methods

Lectures

5 Prerequisites for course participation

Basics of logistics

6 Type of examination

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Type of examination

Written exam Oral exam Homework/ presentation

Project Laboratory

tutorial

Designated X

Weighting 100 %

Duration [h] 1

7 Requirements for allocation of Credit points

Passed exam

8 Application of the module (other courses of studies)

/

9 Percentage of overall final grade

1,6 %

10 Lecturer

Prof. Dr.-Ing. E.-J. Ribbert

11 Additional information

Language of teaching: German

Literatur:

1. Straube, F., Cetinkaya, B. (2008): Umwelt und Logistik, S. 62-81 in Straube, F.; Pfohl, H.-Chr.: Trends und Strategien in der Logistik – Globale Netzwerke im Wandel, Deutscher Verkehrs-Verlag, Bremen, 2008, ISBN 978-3-87154-388-3.

2. www.ecotransit.org