A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return

By Saman Hassanzadeh Amin, Guoqing Zhang. 2013

455 citations recorded by the source corpus.

Abstract A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and e -constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously.

Subfields: Management Information Systems, Organizational Behavior and Human Resource Management, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/6c887a697fe7e768f9298132cfc66aa2c32fbd71

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In Management Information Systems

In Organizational Behavior and Human Resource Management

In Strategy and Management

Citations in the corpus

Sustainable supply chain network design: An optimization-oriented review☆ (2015, background): “Amin and Zhang [5] measure the use of renewable and recycled energy, such as solar power. Finally, 7 papers use criteria that cannot be classified in the preceding categories. Other metrics include use of water [135061], noise pollution [1258] or an overall estimation of long-term impact and cleanup”
An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty (2020, methodology): “A MILP model was introduced by Amin and Zhang (2013) to minimise the total costs of establishing and managing CLSCs under uncertain demand and return levels using scenario-based stochastic programming.”