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    2000 John W. NazemetzSlide 2 Computer IntegratedManufacturing Systems

    ADVANCED

    MANUFACTURING

    SYSTEMS DESIGN

    Concurrent Engineering

    Introduction to Simultaneous and

    Asynchronous Engineering

    Activities

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    2000 John W. NazemetzSlide 3 Computer IntegratedManufacturing Systems

    Overview

    Concurrent Engineering

    Definition

    Concepts

    New Products

    Existing Products

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    2000 John W. NazemetzSlide 4 Computer IntegratedManufacturing Systems

    Computer Integrated

    Manufacturing Systems Definition Revisited

    Systems which enable the integrated,

    rationalized design, development,

    implementation, operation and

    improvement of production facilities

    and their output over the life cycle of

    the product. These systems identify and

    use appropriate technology to achieve

    their goals at minimum cost and effort.

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    2000 John W. NazemetzSlide 5 Computer IntegratedManufacturing Systems

    Concurrent Engineering

    --

    Definition

    Concurrent Engineering is a systematic

    approach to the integrated, concurrent

    design of products and their related

    processes, including manufacturing and

    support. This approach is intended to

    cause the developers, from the outset,

    to consider all elements of the product

    life cycle from conception to disposal,

    including quality, cost, schedule, and

    user requirements.

    (Pennell and Winner,1989)

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    2000 John W. NazemetzSlide 6Computer Integrated

    Manufacturing Systems

    Concurrent Engineering

    -

    Definition Problems

    Name Implies only Engineering Involved

    Activity is Really Concurrent (

    DESIGN)

    CONCEPTUALIZATION

    and

    EVALUATION(ENGINEERING)

    Require Broad View of Design

    Must Assure that Correct Concepts Are

    Incorporated into the Design

    Must Assure that Principles ofEngineering/Nature are Followed

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    2000 John W. NazemetzSlide 7Computer Integrated

    Manufacturing Systems

    Goals of Concurrent

    Engineering in CIM (1) Primary Goal is to Assure

    Rationalization in Early Stages to Avoid

    Cost/Improve Product Operational Concept

    Physical Concept

    Manufacturing Concept

    Maintenance Concept

    Disposal Concept

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    2000 John W. NazemetzSlide 8Computer Integrated

    Manufacturing Systems

    Goals of Concurrent

    Engineering in CIM (2) Secondary Goal is Lead Time Reduction

    Administrative Lead Time

    Design and Rationalization of Product Approval and Acquisition of Facilities

    Manufacturing Lead Time

    Scheduling and Execution

    Storage and Distribution

    Measure of Exposure to Risk/Changes

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    2000 John W. NazemetzSlide 9Computer Integrated

    Manufacturing Systems

    Traditional Process of

    Serial Engineering Functions Separated

    Functions Serially Executed

    No Interaction Maintenance Usually an Afterthought

    Time Consuming

    Costly Product a Series of Suboptimal

    Reconsiderations

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    2000 John W. NazemetzSlide 10Computer Integrated

    Manufacturing Systems

    Serial Engineering

    DESIGN MANUFACTURINGPLANNING

    MANUFACTURING CUSTOMER

    SUPPORT??

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    2000 John W. NazemetzSlide 11Computer Integrated

    Manufacturing Systems

    Concurrent vs. Serial

    Engineering All Viewpoints Solicited

    Interdisciplinary Teams

    Life Cycle Cost Considered Attempt to Embody Concept Early -

    Before Committing to Detail Design

    Data/Information/Knowledge ExchangePlanned and Encouraged

    Cycle Time and Cost Reduced

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    2000 John W. NazemetzSlide 12Computer Integrated

    Manufacturing Systems

    CONCURRENTDESIGN

    A Concurrent Engineering

    Model

    PRODUCTMANUFACTURING

    CONCEPT

    PRODUCTMAINTENENCE

    CONCEPT

    PRODUCTFUNCTIONAL

    CONCEPT

    DISCIPLINE INPUTS

    ENGINEERING

    MARKETING

    PRODUCTION

    CUSTOMERS

    WORKERS

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    2000 John W. NazemetzSlide 13Computer Integrated

    Manufacturing Systems

    Virtual Concurrent

    Engineering Always a Virtual Endeavor

    Groups Are Always Geographically (and

    Culturally) Distributed How Far is Too Far Apart?

    Information Generated/Stored in VariousFormats and Locations

    Single Plant + Customers

    Multiple Plants (Same Organization) + Customers

    Multiple Organizations + Customers

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    2000 John W. NazemetzSlide 14Computer Integrated

    Manufacturing Systems

    Keys to Concurrent

    Engineering Supportive Culture

    Clear Understanding and

    Documentation of Requirements Technical Competence/Experiences

    Technical Tool Availability (CAx Tools)

    Communication Competence Communication and Information Tool

    Availability

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    Advanced Manufacturing SystemsDesign

    2000 John W. Nazemetz

    Lecture 3 Topic :Concurrent

    EngineeringSegment A Topic:Introduction to

    Simultaneous and Asynchronous

    Engineering

    END OF SEGMENT

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    Advanced Manufacturing SystemsDesign

    2000 John W. Nazemetz

    Lecture 3 Topic :ConcurrentEngineering

    Segment B Topic:Computer AidedProcess Planning

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    2000 John W. NazemetzSlide 17Computer Integrated

    Manufacturing Systems

    Overview

    Computer Aided Process Planning

    The Use of Computer To Develop andAnalyze Alternative ManufacturingProcesses

    Part of Design

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    2000 John W. NazemetzSlide 18Computer Integrated

    Manufacturing Systems

    Computer Aided Process

    Planning Definition

    Use of computer and information

    technologies to assist in the cost effectivedevelopment and assessment of alternativemethods of production and sequences for aspecific product specification andidentification of areas for potential

    improvement in specifications from theprocess/manufacturing viewpoint.

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    2000 John W. NazemetzSlide 19Computer Integrated

    Manufacturing Systems

    Manufacturing Processes

    Casting and Molding Processes

    Forming Processes

    Chip Formation Processes Finishing Processes

    Small Chip Removal Processes

    Treatment (Mechanical and Chemical)Processes

    Coating Processes

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    2000 John W. NazemetzSlide 20Computer Integrated

    Manufacturing Systems

    Manufacturing Process

    Review How To Determine Process/Cost

    Process To Be Used (Shape)

    Process Ability to Hold DimensionalTolerance

    Surface Finish (How Determined)

    Set Up Times

    Machining ParameterSelection/Specification

    Part Processing Times

    Cost Optimization

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    2000 John W. NazemetzSlide 22

    Computer Integrated

    Manufacturing Systems

    Types of Process Planning Manual Process Planning

    Variant Process Planning

    Existing Plan Retrieval Composite (Master) Part Plans

    Generative Process Planning

    Computer Generated Process Plans Use of Artificial Intelligence

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    2000 John W. NazemetzSlide 23

    Computer Integrated

    Manufacturing Systems

    Manual Process Planning Study Design and Specifications

    Recall Past Relevant Experiences

    Discuss Tight Specifications

    Develop Alternative Process Sequences Specification/Capabilities

    Volume/Tooling/Cost Requirements

    Capacity Availability

    Select and Document Best Process

    Implement and Monitor

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    2000 John W. NazemetzSlide 24

    Computer Integrated

    Manufacturing Systems

    Manual Process Planning -

    Drawbacks Completely Dependant on Experience of

    Process Planner

    Number of Alternatives GeneratedLimited

    Relatively Slow Process

    Documentation Usually Poor

    Incorporation of Past Investment inProcess Design not Assured

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    2000 John W. NazemetzSlide 25

    Computer Integrated

    Manufacturing Systems

    Variant Process Planning

    Identify/Find Similar Parts

    Compare Existing Parts with Current

    Delete Unneeded Part Features inRetrieved Part

    Add Part Features/Process Not inRetrieved Part

    Add New Design into System for LaterUse

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    2000 John W. NazemetzSlide 26

    Computer Integrated

    Manufacturing Systems

    Variant Process Planning -

    Retrieval Systems System for Associating/Locating Past

    Process Plans/Designs Crucial to

    Success Group Technology Based Systems

    As Up Front Design Philosophy to Limit Variation

    As Key to Access Previous Plans

    Part Features

    Process Sequence Based Systems

    Problem of Pattern Recognition

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    2000 John W. NazemetzSlide 27

    Computer Integrated

    Manufacturing Systems

    Variant Process Planning -

    Composite (Master) Parts Develop Composite Part

    Defines Characteristics of a Class of Parts

    Contains all Possible Features that Can BeIncorporated in the Design of Parts in thisClass

    Generally Defined Parametrically

    Not All CAD Systems Support Parametric Features Manual Intervention Required in Non-Parametric

    CAD Systems

    Generally Assumes Infinite Capacity

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    2000 John W. NazemetzSlide 28

    Computer Integrated

    Manufacturing Systems

    Variant Process Planning -

    Drawbacks New Process Plan is Generally No Better

    Than Retrieved Design

    Use of Archived Plan Does Not AlwaysReflect Current Situation

    Part Family Formation is NaturalFallout

    No New Technologies are Considered inPlanning

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    2000 John W. NazemetzSlide 29

    Computer Integrated

    Manufacturing Systems

    Generative Process Planning

    Part Specification (CAD Model)

    Recognize Part Features From CADModel

    Generate Feasible Methods forProduction of Part Features

    Evaluate Operational Feasibility

    Evaluate Economics of Alternatives Specify Process

    Regenerate Each Time Part is Produced

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    2000 John W. NazemetzSlide 30

    Computer Integrated

    Manufacturing Systems

    Generative Process

    Planning (2) Part Specification (CAD Model)

    Must Conform to Standard

    Current Standards not Unambiguous Recognize Part Features From CAD

    Model

    Lines, Arcs => Surfaces

    Surfaces => Part Features

    Part Features Have Specifications

    Recognize Relations Between Part Features

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    2000 John W. NazemetzSlide 31

    Computer Integrated

    Manufacturing Systems

    Generative Process

    Planning (3) Generate Feasible Methods for

    Production of Part Features

    All Technically Feasible Methods ConsideredAlternate Sequences Considered

    Evaluate Operational Feasibility

    Map Technically Feasible Methods Against

    Those Available to Company Subcontracting Difficult to Incorporate

    Tooling Difficult to Incorporate

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    2000 John W. NazemetzSlide 33

    Computer Integrated

    Manufacturing Systems

    Generative Process

    Planning -Drawbacks Part Feature Recognition is Not a

    Mature Technology CAD Model Data Exchange (Precision,

    Format) May Depend on Missing Material

    Expensive (Artificial Intelligence)

    Must Be Tailored to Specific Firm

    Incorporation of Proprietary ProcessesDifficult

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    Advanced Manufacturing Systems

    Design 2000 John W. Nazemetz

    Lecture 3 Topic :ConcurrentEngineering

    Segment B Topic:Computer AidedProcess PlanningEND OF SEGMENT

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    Advanced Manufacturing SystemsDesign

    2000 John W. Nazemetz

    Lecture 3 Topic :ConcurrentEngineering

    Segment C Topic:Quantitative Analysis

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    2000 John W. NazemetzSlide 36

    Computer Integrated

    Manufacturing Systems

    ADVANCED

    MANUFACTURINGSYSTEMS DESIGN

    Concurrent Engineering

    Quantitative Analysis

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    2000 John W. NazemetzSlide 37

    Computer Integrated

    Manufacturing Systems

    Overview

    Quantitative Analysis in ConcurrentEngineering Singhs Mathematical Model

    Uses Manufacturing Method/ProcessCapabilities, Tolerance Limits, Input andProcessing Costs, and Time Estimates toCompare Alternatives

    Source: Singh, Nanua, Systems Approach to ComputerIntegrated Design and Manufacturing, John Wiley andSons, Inc., New York, New York, c1995

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    2000 John W. NazemetzSlide 38

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.1, 4.2) Tolerance

    Alternatives and

    Process Capabilities Standard Normal

    Variate of upperTolerance

    Standard NormalVariate of lowerTolerance

    u

    jk

    j

    j

    u

    k Zt

    t = tolerance limitk= tolerance system (design alt.)j= machining system

    l

    jk

    j

    j

    l

    k Zt

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    2000 John W. NazemetzSlide 39

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.3)

    SCrap Fraction

    )](1[)( ujkl

    jki

    jk

    s

    jk

    jk ZZ

    YYSC

    s

    jk

    o

    jk

    i

    jk YYY ,, = output, input, scrap units

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    2000 John W. NazemetzSlide 40

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.4)

    Mass Balance

    s

    jk

    o

    jk

    i

    jk YYY ,, = output, input, scrap units

    sjk

    ojk

    ijk YYY

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    2000 John W. NazemetzSlide 41

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.5, 4.6)

    Technological Coefficients (input perunit of output, scrap per unit of output)

    s

    jk

    o

    jk

    i

    jk YYY ,, = output, input, scrap units

    o

    jk

    ijki

    jkY

    Yk

    o

    jk

    sjks

    jkY

    Yk

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    2000 John W. NazemetzSlide 42

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.7) Combining (Percent Acceptable in

    Output Stream)

    s

    jk

    o

    jk

    i

    jk YYY ,, = output, input, scrap units

    )()(

    )](1[)(

    1 ljku

    jk

    u

    jk

    l

    jk

    jk

    jk

    o

    jk

    s

    jks

    jkZZ

    ZZ

    SC

    SC

    Y

    Yk

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    2000 John W. NazemetzSlide 43

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.8) Combining (Ratio of Input to Output

    Obtained Will be >1)

    s

    jk

    o

    jk

    i

    jk YYY ,, = output, input, scrap units

    )()(

    11

    l

    jk

    u

    jk

    s

    jko

    jk

    i

    jki

    jkZZ

    kY

    Yk

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    2000 John W. NazemetzSlide 44

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.4, 4.9, 4.10) Combining to Reform Material Balance

    Equations

    s

    jk

    o

    jk

    i

    jk YYY ,, = output, input, scrap units

    o

    jk

    i

    jk

    i

    jk YkY

    ojk

    sjk

    sjk YkY s

    jk

    o

    jk

    i

    jk YYY

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    2000 John W. NazemetzSlide 45

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.11) Cost Equation (Cost of Output and Scrap

    = Cost of Input and Processing

    s

    jk

    o

    jk

    i

    jk XXX ,, Unit Cost of input, output,scrap

    )( ijkijk

    ijk

    ijk

    sjk

    sjk

    ojk

    ojk YfYYXYXYX

    )( ijkYf Processing Cost per Unit

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    2000 John W. NazemetzSlide 46

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.11) Dividing by to get output cost/unit

    o

    jk

    i

    jk

    i

    jk

    i

    jk

    i

    jk

    o

    jk

    s

    jk

    s

    jk

    o

    jk

    o

    jk

    YYfYYX

    YYXYX )(

    o

    jkY

    i

    jko

    jk

    ijks

    jko

    jk

    sjki

    jko

    jk

    ijko

    jk fYY

    YX

    Y

    YX

    Y

    YX

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    2000 John W. NazemetzSlide 47

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.12) Or, by substituting technological

    factors, unit cost of output (good units)

    )( ijki

    jk

    s

    jk

    s

    jk

    i

    jk

    i

    jk

    o

    jk YfkXkXkX

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    2000 John W. NazemetzSlide 48

    Computer Integrated

    Manufacturing Systems

    Singhs Quantitative

    Analysis (Eq. 4.13) Developing an expression for

    Manufacturing Lead Time:

    ojk

    ijkjjj YktST

    jt

    jS Set-up Time

    Processing time, j thmethod

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    2000 John W. NazemetzSlide 49

    Computer Integrated

    Manufacturing Systems

    Using Singhs Quantitative

    Analysis Given a Set of Production Methods

    With Process Capabilities,

    Unit Production Cost Estimates, Unit Production Time Estimates, and

    Set up Times

    and a Set of Precision Alternatives,

    Assuming Precision is Relevant to CustomerDefinition of Quality

    Then, Quantitative Assessment Possible.

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    2000 John W. NazemetzSlide 50

    Computer Integrated

    Manufacturing Systems

    Problems with Singh

    Quantification (1) Product Manufacturing Centric

    Viewpoint

    No Design Cost Data No Service/Maintenance Cost Data

    No Value to Increase/Decrease in Lead Time

    No Administrative Lead Time Factor

    No Material/Capacity Lead Time

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    2000 John W. NazemetzSlide 51

    Computer Integrated

    Manufacturing Systems

    Problems with Singh

    Quantification (2) Product Manufacturing Centric

    Viewpoint

    Scrap Defined by Designer, not Customer,no Customer Definition of Quality

    No Differential Cost Savings/Cost (Serial vs.Concurrent)

    NOT AN ANALYSIS OF CONCURRENTENGINEERING !!! --IT IS A

    DESIGN/PROCESS COMPARISION

    METHOD

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    2000 John W. NazemetzSlide 52

    Computer Integrated

    Manufacturing Systems

    Benefits of Quantification

    Forces Focus upon Measurable Factors

    To Extent These are the Right Factors,Drives Organizations Direction

    Shows Changes/Provides Basis forComparison of Alternatives

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    2000 John W. NazemetzSlide 53

    Computer Integrated

    Manufacturing Systems

    Concurrent ReEngineering

    of Products No Real Difference in Organization and

    Process Execution

    Only Change is Inclusion of ExistingPlant and Facilities

    Cost (Current) Known, Not Estimated

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    Advanced Manufacturing Systems

    Design

    2000 John W. Nazemetz

    Lecture 3 Topic :ConcurrentEngineering

    Segment C Topic:Quantitative Analysis

    END OF SEGMENT