1. RESEARCH TEAM INVESTIGATORS G. Berkstresser S. Fang R. King T. Little H. Nuttle J. Wilson Textiles and Apparel Mgmt. Industrial Engineering Textiles and Apparel Mgmt. Industrial Engineering STUDENTS H. Cheng S. Lertworasirikul Y. Liao S. Wang Ph.D. Operations Research Ph.D. Industrial Engineering Ph.D. Operations Research

2. SUPPLY CHAIN

3. OBJECTIVES  Develop Decision Support Tools for Integrated Supply Chain Design and Management  Incorporate vagueness and uncertainty through the use of Fuzzy Mathematics.  Demonstrate prototypes.

4. SUPPLY CHAIN MODELING AND OPTIMIZATION USING 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.

5. ITERATIVE PROCESS SCHEME Supply Chain Configuration Simulation Activate Fuzzy Rules/Logic Goals met? Stop Input - Performance Data Fuzzy System / Relationship Identification Knowledge Extraction Soft Computing Guided Simulation Yes No

6. 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.

7. RESULTS  Satisfactory results (high service level) achieved in few iterations. Membership Iteration

8. SUPPLY CHAIN INTEGRATOR Analyse and Compare Designs and Operational Practices Subcontractor Manufacturer DC CustomersCustomers Retailer Supplier

9. STEPS Configuration  Configuration Create your own supply chain using the drag&drop feature Set/Adjust Parameters  Set/Adjust Parameters Specify/adjust parameters using dialog boxes Simulation  Simulation Simulate the integrated operation of the supply chain Reporting  Reporting Obtain detailed performance measure report

10. SUPPLY CHAIN CONFIGURATION

11. PARAMETER SETTING

12. DUE-DATE NEGOTIATOR  Version 1 - bargaining with monetary penalty and compensation  Version 2 - explore resource expansion alternatives  Version 3 – real time order entry A tool for order delivery date negotiation between a manufacturer and customers.A tool for order delivery date negotiation between a manufacturer and customers. Methodology: Genetic Algorithms, Fuzzy Modeling, Fuzzy LogicMethodology: Genetic Algorithms, Fuzzy Modeling, Fuzzy Logic

13. DUE-DATE NEGOTIATOR Assignment / Bargainer

14. DUE-DATE NEGOTIATOR Resource Utilization

15. DUE-DATE NEGOTIATOR Assignment / Scheduler