Work

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

Year: 2016

Type: article

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.

Source: Sustainability

DOI: 10.3390/su8030211

Authors: Jinhuan Tang, Shoufeng Ji, Liwen Jiang

Institution: Shenyang Aerospace University

Language: English

Topic: Sustainable Supply Chain Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Responsible consumption and production, Climate action, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896