This paper presents a competitive supply chain network design problem in which one, two, or three supply chains are planning to enter the price-dependent markets simultaneously in uncertain environments and decide to set the prices and shape their networks. The chains produce competitive products either identical or highly substitutable. Fuzzy multi-level mixed integer programming is used to mo...

The blood supply chain as a part of healthcare systems play a substantial role in health improvement within societies, and blood supply for daily needs and especially in disasters is the challenges requiring more attention. This paper presents a fuzzy-stochastic mixed integer linear programming model to design blood supply chain network for disaster relief. To deal with the uncertainty in model...

one of the main problems of supply chain network design is uncertainty. to consider this, designing of a three-echelon supply chain in a fuzzy environment is discussed in this paper. since satisfaction of some constraints in supply chain is vital and necessary, so this research proposes a direct solution approach to find the solution which represents the trade-off between feasibility degree of ...

 Abstract:The purpose of this paper is to present a new model of non-radial data envelopment analysis that is able to evaluate the systems one of these complete networks is supply chain of cement industry. In this paper, using a non-radial model in data envelopment analysis, a model with a network structure that can assess the sustainable supply chain of strategic industries is evaluated....

blood supply chain management is one of the mainchallenges in healthcare system. optimal locationof blood donation camps is one of the key factors in optimizing the bloodsupply chain. disruption in location of blood donation camps because ofdisasters will have a negative impact on the entire supply chain. thispaper develops a generalized network optimization model for the complex supplychain of...

The development of optimization and mathematical models for closed loop supply chain (CLSC) design has attracted considerable interest over the past decades. However, the uncertainties that are inherent in the network design and the complex interactions among various uncertain parameters are challenging the capabilities of the developed tools. The aim of this paper, therefore, is to propose a n...