As the huge computation and easily trapped local optimum in remanufacturing closed-loop
supply chain network (RCSCN) design considered, a genetic particle swarm optimization …

The logistics optimization problem has received immense attention in recent years. The
existing optimization methods generally put forward distribution strategies based on physical …

In the supply chain design problems, optimization is usually done without any attention to
performance and efficiency of each part of chain. On the other hand, in Assembly Line …

This paper presents a new equilibrium optimization method for supply chain network design
(SCND) problem under uncertainty, where the uncertain transportation costs and customer …

Implementation of a supply-chain (SC) system has crucial impacts on a company's financial
performance. Overall performance of a SC network is influenced significantly by the …

This paper presents an effective optimization method based on meta-heuristics algorithms
for the design of a multi-stage, multi-product solid supply chain network design problem …

People are always threatened by natural disasters which usually cause significant losses.
Therefore, planning for confronting such situations is a vast dilemma. In this paper, a general …

We study a three-stage supply chain network (SCN) design problem for a single-product
system. The SCN is composed of suppliers that provide raw materials for the plants, plants …

Today, most industrial managers in the world are interested in protecting the environment
and biological resources. On the other hand, current technologies are getting momentum …

New Product Development (NPD) constitutes a challenging problem in the pharmaceutical
industry, due to the characteristics of the development pipeline. Formally, the NPD problem …