Operations Management and Information Technologyiieom.org/helo.pdf · - opportunities between the...
Transcript of Operations Management and Information Technologyiieom.org/helo.pdf · - opportunities between the...
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Operations Management and
Information Technology
- opportunities between the diciplines
Prof. Petri Helo
Industrial Management, University of Vaasa, Finland
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Industrial Management Research Group
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• Software engineering services for industrial companies
• Established in 1999 • Owned by employees
Wapice Ltd.
• 2013 Sales 18 MEUR• 260 employees• Deloitte Fast Growth 500 EMEA 08/09
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4
Operations Management
Domain and methodology expertise
Information and Communication
Technologies
Data collectionInformation processingCommunication
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OM – IT examples
• Manufacturing
• Service
• Supply Chains
• Networked Business Models
• Conclusions
4.2.2014 5
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MANUFACTURING AND
OPERATIONS
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Manufacturing Execution Systems
MES performs four primary functions:
1. Collects data (e.g. bar-code scanning) in real time.
2. Organizes and stores data in a centralized database.
3. Makes data accessible throughout the network, and integrates critical data from other information systems.
4. Delivers and manages orders from ERP to production, with detailed scheduling reacting to real-time events, increasing productivity and quality
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Layers according to ISA-95 standards
CRM•PDM/
•PLMBusiness planningCorporate
ExecutionPlant
ControlPlant
Individual devicePlant
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Work instructions available all the timeReal-time view on production
1. Guiding workers
noMuda – VisualFactory
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Andon
System for announcing quality
issues in production
1. Immediate action
Classification
• Material
• Procedure
• Tool
• Safety
• Component quality
Work will continue once problem
solved
2. Corrective action
Statistics based quality control
2. Quality control
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Climbing up the ramp-up curve
• New product introduction– Ramp-up to quality
– Ramp-up to quantity
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timevolume
Zero series
Prototypes
Volume
production
Ramp-
down
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Hot dip galvanizing MES
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3. View to production queue
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MES at the galvanizing factory
Functionality• Touch panel PC for data
input– Customer identification– Batch numbers– Additional works (sand
blast)– Work queue– Quality control
• Tracking jigs by usingRFID – weightrecording before and after the bath
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Real time work queueProfit/loss calculation for everycustomer order
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SERVICE OPERATIONS
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What if we could see all the
installed products all the time?
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Installed base view
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Products at customer
= installed base
Communication Remote management and service
Bill of Materials
Operators
Location
Batch processing
Real-time view
”War room”
Maintenance
Remote operation
Web-portal for customers
Web based view on service apps
Communication to sites
Site service operations
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4.2.2014 17
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Remote management and CBM
• Functions from ISO 13374: Machine Condition Assessment
Data Processing & Information Flow Blocks
Record temp, amps and volts 1/s
Calculate daily min, max and averages
Rule triggered. Detect exception and send info to portal
Suggest replacing the component in two weeks from now
The component will last 300 hours
Diagnose: Component X has problem.
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Product packages
PackagesPay per service Monthly fee Monthly fee
based on reliability
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20 © Wärtsilä
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4.2.2014
University of Vaasa | Logistics Systems Research Group | Petri Helo
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4.2.2014
University of Vaasa | Logistics Systems Research Group | Petri Helo
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SUPPLY CHAINS
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Marine traffic – AIS
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Transport companies
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http://www.trackpackages.com
FedEx: 9.8 million: Requests on Dec. 23, 2008, the most ever in one day (http://www.commercialappeal.com/news/2009/jan/30/fedex-launches-real-time-tracking/)
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Tracking truck drivers
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Trackers in container boxes
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Concept of real-time supply chain
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Vendor
Distribution center CustomerTransport company Transport company
Inbound Outbound
DC1
DC2
Customer
S1
S2
S2
S2
S2
C1C1
C3
C..C..
C..
C..
C..C..
C..C..
C..
Transport booking
Status: readyto go
Status: loaded
Status: received
Status: new handling unitnumber
Status: loaded
Status: received
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Real-time vehicle routing
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• Collection area definitions, policy updates
• Daily route optimisation
• Fuel and emission reductions due to reduced kms
Single truck
Multi-truck
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UPS Trucks turning just right
• Change of routing optimization
• “Saved the company $17 million a year, reduced emissions and made drivers safer because they aren't typically turning left into traffic”
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NETWORKED BUSINESS
MODELS
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4.2.2014 32
Companies making location decisions
China 2008 ~1.36India 2007 ~1.17
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VIRTUAL FACTORY“…a temporary network of independent companies, suppliers, customers –even rivals, linked by information technology to share costs, skills and access one another’s markets. It will have neither central office nor organisationalchart… no hierarchy, no vertical integration…” (Byrne)
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Business Community Management
FORM OPERATE DISSOLVE
ETO VO Management
CTO VO Management
FORM OPERATE DISSOLVE
Performance management
But how do they manage the dispersed
operations?
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Shared work queue in multi-factory
environment
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Shared work queueDecentralized system – likeemail or instant messengerTransparency to customerNotifications on events
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How to control non-
hierachial network?
• Project based business – number of companies changing from
project to project
• Rules and data exchange - not only manufacturing orders, but
also product data
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Ponoko.com – Manufacturing 2.0?
A commercial plaform for
virtual manufacturers
(mainly small prototypes
or hobbyists)
Inquiry/offer
Manufacturing
Delivery
Several suppliers
Raw material types
Rapid prototyping
Electronics
Sheet metal
Plastics
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Diatom Studio - SketchChair
• Cloud MES as manufacturing platform?
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CONCLUSIONS
4.2.2014 39
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Data size
Time range
Long range Short range
Small
Big
Strategic
Customer and installed
base data
Supply chainService
supply chain
PPC
Maintenance
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OM development
• Do our models take the advantage of real-time information?
• Can we make better assumptions based on hard data?
• When should we use Big Data or Small data on our problems?
• Making our DSS systems accessible not only managers but everyone within the supply chain
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4.2.2014 42