Pharmaceutical supply chain network design under uncertainty
Publish place: 10th International Industrial Engineering Conference
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC10_155
تاریخ نمایه سازی: 10 شهریور 1393
Abstract:
Abstract—In this paper, a novel mixed integer programming (MILP) model for pharmaceutical supply chain network design (PSCND) is developed. The proposed model contains four-echelons, in which some important decisions such as licensing a drug manufacturer for manufacturing a new drug and opening of distribution centers as strategic decisions alongside with product flows in each period as tactical decisions are made. Since a supply chain network design (SCND) problem deals with great degree of uncertainty, an efficient possibilistic programming approach is used to handle epistemic uncertainty of imprecise parameters. Finally, some numerical examples and sensitivity analyses on critical parameters are provided.
Keywords:
pharmaceutical supply chain , Supply chain network design , uncertainty , location-allocation , Fuzzy
Authors
Behzad Zahiri
Department of Industrial Engineering, College of Engineering, University of Tehran,Tehran, Iran
Seyyed Ali Torabi
Department of Industrial Engineering, College of Engineering, University of Tehran,Tehran, Iran