The Design of a Sustainable Location-Routing-Inventory Model Considering Consumer Environmental Behavior

Jinhuan Tang, Shoufeng Ji and Liwen Jiang
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Jinhuan Tang: School of Economics and Management, Shenyang Aerospace University, Shenyang 110136, China
Shoufeng Ji: School of Business Administration, Northeast University, Shenyang 110169, China
Liwen Jiang: School of Business Administration, Northeast University, Shenyang 110169, China

Sustainability, 2016, vol. 8, issue 3, 1-20

Abstract: Our aim is to design a sustainable supply chain (SSC) network, which takes into consideration consumer environmental behaviors (CEBs). CEBs not only affect consumers’ demand for products with low carbon emissions, they also affect their willingness to pay premium prices for products with low carbon emissions. We incorporate CEBs into the SSC network model involving location, routing and inventory. Firstly, a multi-objective optimization model comprised of both the costs and the carbon emissions of a joint location-routing-inventory model is proposed and solved, using a multi-objective particle swarm optimization (MOPSO) algorithm. Then, a revenue function including CEBs is presented on the basis of a Pareto set of the trade-off between costs and carbon emissions. A computational experiment and sensitivity analysis are conducted, employing data from the China National Petroleum Corporation (CNPC). The results clearly indicate that our research can be applied to actual supply chain operations. In addition, some practical managerial insights for enterprises are offered.

Keywords: sustainable supply chain network; consumer environmental behaviors; location-routing-inventory; MOPSO (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

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