research team
DESCRIPTION
RESEARCH TEAM. INVESTIGATORS G. Berkstresser S. Fang R. King T. Little H. Nuttle J. Wilson. Textiles and Apparel Mgmt. Industrial Engineering Industrial Engineering Textiles and Apparel Mgmt. Industrial Engineering Industrial Engineering. STUDENTS H. Cheng S. Lertworasirikul - PowerPoint PPT PresentationTRANSCRIPT
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RESEARCH TEAM
INVESTIGATORSG. BerkstresserS. FangR. KingT. LittleH. NuttleJ. Wilson
Textiles and Apparel Mgmt.Industrial EngineeringIndustrial EngineeringTextiles and Apparel Mgmt.Industrial EngineeringIndustrial Engineering
STUDENTSH. ChengS. LertworasirikulY. LiaoS. Wang
Ph.D. Operations ResearchPh.D. Industrial EngineeringPh.D. Industrial EngineeringPh.D. Operations Research
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SUPPLY CHAIN
How many to produce?
Where to build inventory?
Where to source materials?
Subcontractor
Manufacturer
Manufacturer
Manufacturer
DC
DC
Customers
Retailer
Retailer
Retailer
Retailer
Supplier
Supplier
Should we subcontract?
How many distribution centers?
How many to produce?How many to produce?
Where to build inventory?
Where to build inventory?
Where to source materials?
Where to source materials?
SubcontractorSubcontractor
Manufacturer
Manufacturer
Manufacturer
DC
DC
Customers
Retailer
Retailer
Retailer
Retailer
Supplier
Supplier
Should we subcontract?
How many distribution centers?
How many distribution centers?
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OBJECTIVES
Develop Decision Support Tools for Integrated Supply Chain Design and Management
Incorporate vagueness and uncertainty through the use of Fuzzy Mathematics.
Demonstrate prototypes.
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SUPPLY CHAIN MODELING AND OPTIMIZATIONUSING SIMULATION & SOFT COMPUTING
Supply chains involve the activity and interaction of many entities.
Decision makers typically have imprecise goals. e.g. “Low work – in – process”
Some system parameters may also be imprecise. e.g. “Production rate”
Discrete event simulation can help design and analyze supply chains.
Many configurations and courses of action need to be investigated.
Even experts have to spend a considerable amount of time searching for good alternatives.
Soft computing guided simulation speeds up the process.
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ITERATIVE PROCESS SCHEME
Supply Chain Configuration
Simulation
Activate Fuzzy Rules/Logic
Goals met?
Stop
Input - PerformanceData
Fuzzy System / Relationship
Identification
KnowledgeExtraction
Soft ComputingGuided Simulation
Yes
No
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RULE BASE GUIDE TO SUPPLY CHAIN RECONFIGURATION
Rule example 1:If Overall work-in-process is High
then Change in production rate in the Cutting facility is
Positively Small.
Rule example 2:If Overall work-in-process is High
and Utilization at the cutting facility is High
then Change in production rate in the Cutting facility is
Positively Large.
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RESULTS
Satisfactory results (high service level) achieved in few iterations.
Mem
bers
hip
Iteration
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SUPPLY CHAIN INTEGRATOR
Analyse and Compare Designs Analyse and Compare Designs and Operational Practicesand Operational Practices
Subcontractor
Manufacturer
Manufacturer
Manufacturer
DC
DC
Customers
Retailer
Retailer
Retailer
Retailer
Supplier
Supplier
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STEPS
ConfigurationConfiguration
Create your own supply chain using the drag&drop featureCreate your own supply chain using the drag&drop feature
Set/Adjust ParametersSet/Adjust Parameters
Specify/adjust parameters using dialog boxesSpecify/adjust parameters using dialog boxes
SimulationSimulation
Simulate the integrated operation of the supply chainSimulate the integrated operation of the supply chain
ReportingReporting
Obtain detailed performance measure reportObtain detailed performance measure report
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SUPPLY CHAIN CONFIGURATION
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PARAMETER SETTING
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DUE-DATE NEGOTIATOR
Version 1 - bargaining with monetary Version 1 - bargaining with monetary penalty and compensation penalty and compensation
Version 2 - explore resource expansion Version 2 - explore resource expansion alternativesalternatives
Version 3 – real time order entryVersion 3 – real time order entry
• A tool for order delivery date negotiation A tool for order delivery date negotiation between a manufacturer and customers.between a manufacturer and customers.
• Methodology: Genetic Algorithms, Fuzzy Methodology: Genetic Algorithms, Fuzzy Modeling, Fuzzy LogicModeling, Fuzzy Logic
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DUE-DATE NEGOTIATOR
Assignment / BargainerAssignment / Bargainer
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DUE-DATE NEGOTIATOR
Resource UtilizationResource Utilization
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DUE-DATE NEGOTIATOR
Assignment / SchedulerAssignment / Scheduler