Environmental, social and economic concerns motivate the operation of closed-loop supply chain networks (CLSCN) in many industries. We propose a novel profit maximization model for CLSCN design as a mixedinteger linear program inwhich there is flexibility in covering the proportions of demand satisfied and returns collected based on the firm’s policies. Our major contribution is to develop a no...

We consider competition between two decentralized supply chains network under demand uncertainty. Each chain consists of one risk-averse manufacturer and a group of risk-averse retailers. These two chains present substitutable products to the geographical dispensed markets. The markets’ demands are contingent upon prices, service levels, and advertising efforts of two supply chains. We formulat...

in this paper, a comprehensive model is proposed to design a network for multi-period, multi-echelon, and multi-product inventory controlled the supply chain. various marketing strategies and guerrilla marketing approaches are considered in the design process under the static competition condition. the goal of the proposed model is to efficiently respond to the customers’ demands in the presenc...

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...

This paper proposes a two-stage stochastic mixed-integer programming model for a closed-loop supply chain network design problem in the context of modular structured products in which the reverse network involves several types of recovery options. It accounts for uncertainty in the quality status of the return stream, modeled as binary scenarios for each component in the reverse bill of materia...

In this article, we presents a two-stage stochastic programming model for the problem of designing a closed-loop supply chain network which is applicable in the context of modular structured products. The model accounts for uncertainty in the quality status of the return stream, modeled as binary scenarios for each component in the reverse bill of material corresponding to such products. The st...

Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly fierce competition in recent times have compelled global company to consider these two networks in integrated view for efficient decision-making throughout the supply chain. The integrated problem, however, resembles...

Corresponding Author: Al-Ashhab Mohamed Sayed Department of Mechanical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia Email: [email protected] Abstract: As the importance of forward-reverse logistics increases, attention will be focused on parameters which affect Net Present Value (NPV) of the whole system, aiming at considering th...

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...

Supply chain network design (SCND) is a challenging strategic issue for any company since it involves long-term decisions and high capital investment (see e.g. (Owen & Daskin, 1998) and (Melo, et al., 2009) for an overview of network design and facility location literature). Classical SCND problems include only forward flows, i.e. flows from suppliers to end customers. However, nowadays, many c...