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...

This paper demonstrates that firms and consumers may mutually benefit from the economic recession if the supply chain structure is explicitly taken into consideration. The model characteristics include consumer heterogeneity, intra-channel mis-coordination, and strategic interactions in this upstream-downstream relationship. The analysis reveals the possibility of Pareto improvement along the s...

Techniques based on discrete-event simulation have been widely used for network analysis and policy optimization in the domain of supply chain management. Previous researchers have developed and implemented architectures for simulation-based control for shop floor. A more detailed and high-fidelity simulation model is used for control purposes as opposed to that used for analytical purposes alo...

Having a comprehensive evaluation model with reliable data is useful to improve performance of supply chain. In this paper, according to the nature of supply chain, a model is presented that able to evaluate the performance of the supply chain by a network data envelopment analysis model and by using the financial, intellectual capital (knowledge base), collaboration and responsiveness factors ...

The business globalization has transformed the modern companies from independent entities to extended enterprises that strongly cooperate with all supply chain actors. Nowadays supply chains involve multiple actors, multiple flows of items, information and finances. Each supply chain node has its own customers, suppliers and inventory management strategies, demand arrival process and demand for...

Supply chain management is a set of used methods for the efficient integration of suppliers, manufacturers, warehouses, and sellers to response customer requirements to reduce system costs and to distribute products at the right place and right time. This study aims to identify and rank the supply chain damages using the analytic network process as a practical case in a fast moving consumer goo...

Natural disasters and unexpected disruptive events have forced practitioners researchers to build resilience capability into their systems survive grow in tempestuous turbulent times. This study empirically examined the effect of multi-dimensional supply chain flexibility (MDSCF) improving (SCRES) under a high (SC) risk environment. The incorporated survey technique utilized valid responses fro...

Supply chain requirements and challenges in recent years have made managers to explore new methods in dealing with supply chain management (SCM) problems. Methods with high flexibility which can adapt plans to real conditions help one to make a decision at the right time. In the SCM, distribution and allocation problems are of enormous significance and due to their applications in the cross-fun...