This study develops a model of a closed-loop supply chain (CLSC) network which starts with the suppliers and recycles with the decomposition centers. As a traditional network design, we consider minimizing the all transportation costs and the raw material purchasing costs. To pay attention for the green impacts, different transportation choices are presented between echelons according to their ...

In this study, we present a multiobjective mixed-integer nonlinear programming (MINLP) model to design closed-loop supply chain (CLSC) from production stage distribution as well recycling for reproduction. The given network includes centers, potential points establishing of retrieval collecting and the demand points. presented seeks find optimal locations second-hand product collection centers ...

Logistic network design is one of the most important strategic decisions in supply chain management that has recently attracted the attention of many researchers. Transportation network design is then one of the most important fields of logistic network. This study is concerned with designing a multi-stage and multi-product logistic network. At first, a mixed integer nonlinear programming model...

Modeling and optimal solving of supply chain management problems lead to efficient decision making in strategic planning and supply chain operations, resulting in a competitive advantage. Today, with the planning of a sustainable supply chain, in addition to achieving economic goals, it is possible to meet social and environmental objectives and considerations. This research deal with sustainab...

Supply chain management, Network design, Closed-loop supply chain, disruption. This paper presents an optimization model for the design of a closed-loop supply chain network consisting of suppliers, production facilities, recovery centers, disposal centers, and markets. The proposed model is capable of accounting for risks of disruption and investigating the lateral transshipment strategy to re...

This paper presents a competitive supply chain network design problem in which one, two, or three supply chains are planning to enter the price-dependent markets simultaneously in uncertain environments and decide to set the prices and shape their networks. The chains produce competitive products either identical or highly substitutable. Fuzzy multi-level mixed integer programming is used to mo...

Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are ...

The major oil industry upstream activities include the exploration, drilling, extraction, pipelines installation, and production of crude oil. In this paper, we develop a mathematical model to plan for these operations as a crude oil supply chain network design problem. The proposed multi-period mixed integer linear programming model entails both strategic (e.g., facility location and allocatio...

Reverse logistics (RL) and closed-loop supply chains (CLSC) have recently received enormous attention due to growing environmental concerns and legislations coupled with the lucrative business potential. The main purpose of this paper is to develop a closed-loop supply chain network design model capable of recovering glass containers. A multi-period multi-product mixed-integer linear programmin...

This paper develops a decentralized leader-follower game for network design of a competitive supply chain problem in which a new chain as the leader enters a market with one existing supply chain as a follower. Both chains produce an identical product, customer demand is inelastic and customer utility function is based on Huff gravity-based model. The leader wants to shape his network and set a...