A multi-objective closed-loop supply chain planning model with uncertainty

Abstract

Due to the topics such as the environmental issues, the governments` legislation, natural resource limitations have attracted attention, the research of closed-loop supply chain is increasingly important. Effectively integrated management of a closed-loop supply chain can be a challenge for companies. Companies not only have to meet the environmental regulations, but also have to sustain high-quality supply chain operations as a means to stay competitive advantages and the profit capability. This study proposes a multi-objective mixed integer programming model for an integrated closed-loop supply chain network to maximize the profit, the amicable production level and the quality level. To our knowledge, this proposed model is the first effort to take economic factors, environmental factors, quality factors and uncertain parameters into account simultaneously, and can be a reference for supporting effectively integrated management of a closed-loop supply chain network.