investigators r. king s. fang j. joines h. nuttle students n. arefi y. dai s. lertworasirikul...

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INVESTIGATORS R. King S. Fang J. Joines H. Nuttle STUDENTS N. Arefi Y. Dai S. Lertworasirikul Industrial Engineering Industrial Engineering Textiles Engineering, Chem. and Science Industrial Engineering MR. Industrial Engineering Ph.D. Industrial Engineering Ph.D. Industrial Engineering RESEARCH TEAM

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  • RESEARCH TEAMINVESTIGATORS

    R. KingS. FangJ. JoinesH. Nuttle

    STUDENTSN. ArefiY. DaiS. Lertworasirikul

    Industrial EngineeringIndustrial EngineeringTextiles Engineering, Chem. and ScienceIndustrial Engineering

    MR. Industrial EngineeringPh.D. Industrial EngineeringPh.D. Industrial Engineering

  • OBJECTIVESModels and tools to support collaborative efforts in a B2B environment. Investigate DEA and cooperative game theory for partnership formation and contract negotiation.Incorporate vagueness and uncertainty through the use of Fuzzy Mathematics. Demonstrate prototypes.

  • DEA DATA ENVELOPMENT ANALYSIS A tool for performance assessment of business entities performing similar functions under uncertain environment DEA evaluates business entities based on the ratio of weighted sum of outputs to weighted sum of inputs Example: collaborative partner selection Inputs: unit cost, logistic cost Outputs: leadtime, quality, reliability, capacity Incorporate vagueness and uncertainty through the use of fuzzy sets, e.g., high unit cost, long leadtime. FUZZY DEA

  • DEA METHODOLOGY

    a -level based approach - Apply parametric programming using a cuts. - Four models: Best-Best, Best-Worst, Worst-Best, Worst-Worst Fuzzy DEA is in the form of fuzzy linear program.Issue: Fuzzy LPs are not well defined due to the ambiguity in the ranking of fuzzy sets.APPROACHES

  • DEA APPROACHES (continued) Possibility approach - Deal with uncertainty in fuzzy objectives and constraints through the use of possibility measures. - Possibility programming model Credibility approach - Replace fuzzy variables by expected credits which are derived by using credibility measures.- Credibility programming model

  • DEA FUZZY DEA SOFTWAREPrototype Implementation

    Parameter Setting Input & output data and membership functions Data Evaluation Calculate of efficiency measures Report Obtain detailed efficiency measure report

  • DEA PARAMETER SETTING

  • DEA PARAMETER SETTING

  • DEA DATA EVALUATION AND RESULTS

  • Game Theoretic Approach to Supply Chain Coordination What is game theory?Analysis of situations involving conflicting interests.

    Why game theory?A softgoods supply chain involves the activity and interaction of many players. Individual players are usually more interested in maximizing their own profits rather than those of the supply chain as a whole. How to Apply?Use channel coordination to optimize the performance of the entire supply chain.

  • Game Theoretic Approach to Supply Chain CoordinationExample: Capacity allocation problem with market search

  • Game Theoretic Approach to Supply Chain CoordinationExample: Capacity allocation problem with market search

    Capacity allocation problem When the total order from the retailers exceeds the supplier's capacity, the supplier needs to allocate his/her supply according to allocation rules. Market searchCustomers, whose demand cannot be satisfied by one retailer due to a stockout, may visit another retailer. QuestionsHow should the retailers place orders?How to maximize the performance of the entire supply chain?

  • Game Theoretic Approach to Supply Chain CoordinationChannel coordination Decentralized systemThe players behave to maximize their own profit. Use Game theory to find an equilibrium solution. Centralized systemSuppose the entire supply chain is owned by one company. Optimal solution which maximizes the total expected profit. IntegrateModify the players' payoffs (e.g., wholesale prices) to make the decentralized equilibrium solution achieve the total expected profit of the centralized system.

  • Due-Date NegotiatorA support system for decision making and negotiation between sales management and customers. Achieve realistic promise dates for order delivery. Methodology: Genetic Algorithm, Fuzzy Modeling and Logic.

  • Due-Date Negotiator

    Data entry

  • Due-Date Negotiator

    Order loading

  • Due-Date Negotiator

    Reports