Pharmaceutical supply chain network design under uncertainty

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.

کلیدواژه ها:

pharmaceutical supply chain ، Supply chain network design ، uncertainty ، location-allocation ، Fuzzy