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Sustainability 2016, 8(3), 211; doi:10.3390/su8030211

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

1
School of Economics and Management, Shenyang Aerospace University, Shenyang 110136, China
2
School of Business Administration, Northeast University, Shenyang 110169, China
*
Author to whom correspondence should be addressed.
Academic Editors: Adam Jabłoński and Giuseppe Ioppolo
Received: 12 January 2016 / Accepted: 19 February 2016 / Published: 29 February 2016
(This article belongs to the Special Issue Sustainable Business Models)
View Full-Text   |   Download PDF [2187 KB, uploaded 29 February 2016]   |  

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. View Full-Text
Keywords: sustainable supply chain network; consumer environmental behaviors; location-routing-inventory; MOPSO sustainable supply chain network; consumer environmental behaviors; location-routing-inventory; MOPSO
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Tang, J.; Ji, S.; Jiang, L. The Design of a Sustainable Location-Routing-Inventory Model Considering Consumer Environmental Behavior. Sustainability 2016, 8, 211.

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