Abstract We consider the problem of designing a closed-loop supply chain (CLSC) network in presence uncertainty demand quantities, return rates, and quality returned products. formulate as two-stage stochastic mixed-integer program (SMIP) that maximizes total expected profit. The first-stage decisions our model are facility location capacity decisions, second-stage forward/reverse flows on henc...

Designing a logistic network is a strategic and critical problem that provides an optimal platform for the effective and efficient supply chain management. In this research, we address the application of fuzzy sets to design a multi-product, multi-period, closed-loop supply chain network. The presented supply chain includes three objective functions: maximization of profit, minimization of deli...

Limited natural resources and unconscious consumption have led to a substantial increase in the rate of processing waste material instead raw materials recent years changed dynamics Supply Chain Management (SCM) by making industrial environment more competitive. The interest Closed Loop (CLSC) design optimization is increased with great care being taken reverse logistics order respond customer ...

one of the most important decisions in supply chain network (scn) design is choosing the optimal location for the facilities. the facilities in scn have different efficiency according to their locations. in this paper, efficiency of facilities is added to the supply chain network design by using data envelopment analysis model, and a multi-objective model is presented for the design of efficien...

The importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop (CLSCN). Due the expanded scope chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy multi-objective mixed-integer linear programming model deal with uncertain parameters CLSCN. two objective functions are minimization ove...

This research work develops a decision support model for a network design problem concerning a spare parts closed loop supply chain. It involves the formulation of an optimization model that takes on a mid to long-term planning perspective and covers decisions that have lasting and binding impact on organizational performance. These decisions include investment, location assignment, and invento...