Cost Efficiency of Supply Chain in Fuzzy Environment
Publish place: 9th National Conference on Data Envelopment Analysis
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
DEA09_104
تاریخ نمایه سازی: 8 آذر 1396
Abstract:
In conventional data envelopment analysis (DEA) models, the performance of decisionmaking units (DMUs), which are usually treated as black boxes, is evaluated while all factors areassumed to be precise and crisp. Nevertheless, there are situations in the real world that the costefficiency scores of supply chains should be evaluated whilst imprecise inputs and outputs arepresent. Therefore, an approach based on DEA is proposed in the current paper to evaluate the costefficiency of supply chains and members when fuzzy inputs and outputs exist. To illustrate, the costefficiency scores of the overall supply chain and each member of the supply chain are estimated inthe fuzzy environment. A method based on ranking function is used to investigate fuzzy measures.A numerical example is used to illustrate the proposed approach.
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Authors
Sohrab Kordrostami
Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Monireh Jahani Sayyad Noreivi
Young Researchers and Elite Club, Lahijan Branch, Islamic Azad University, Lahijan, Iran