AN ADDITIVE WEIGHTED FUZZY PROGRAMMING FOR SUPPLIER SELECTION PROBLEM IN A SUPPLY CHAIN

作者: A Amid , S H Ghodsipour

DOI:

关键词: Uncertain dataOperations researchSelection (genetic algorithm)Fuzzy logicQuality (business)Management scienceEngineering economicsPurchasingSupply chainComputer scienceIntelligent decision support system

摘要: Supplier selection is one of the most important activities purchasing departments. This importance increased even more by new strategies in a supply chain, because key role suppliers perform terms quality, costs and services which affect outcome buyer’s company. multiple criteria decision making problem objectives are not equally important. In practice, vagueness imprecision goals, constraints parameters this make complicated. Simultaneously, model, input data varying considered. real cases, where DecisionMakers (DMs) face up to uncertain situations, proposed model can help DMs find out appropriate ordering from each supplier, allows manager(s) manage chain performance on cost, time delivery, etc. An additive weighted presented for fuzzy multi objective supplier with weights. The explained an illustrative example.

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