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...

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 ...

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...

emission trading is one of the famous mechanisms under kyoto protocol to control environmental pollution. the aim of this paper is to design a strategic supply chain network under emission trading scheme with inclusion of stochastic parameters and budget limitation. demand and price of carbon credits are considered as the important stochastic parameters influencing the supply chain network. in ...

Many supply chain problems involve optimization of various conflicting objectives. This paper formulates a green supply chain network throughout a two-stage mixed integer linear problem with uncertain demand and stochastic environmental respects level. The first objective function of the proposed model considers minimization of supply chain costs while the second objective function minimizes CO...

Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...

Recently, with the environmental crisis, Green supply chain management (or GSCM), and in particular closed loop supply chain model, has received considerable attention by researchers. Closed loop supply chain model aims at reduction of waste and generating profit for enterprises through integrating forward and reverse logistics. Unfortunately, there is limited research on general models for clo...