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

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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)

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.

Suggested Citation

  • Jinhuan Tang & Shoufeng Ji & Liwen Jiang, 2016. "The Design of a Sustainable Location-Routing-Inventory Model Considering Consumer Environmental Behavior," Sustainability, MDPI, vol. 8(3), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:3:p:211-:d:64715
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    References listed on IDEAS

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    1. Nagy, Gabor & Salhi, Said, 2007. "Location-routing: Issues, models and methods," European Journal of Operational Research, Elsevier, vol. 177(2), pages 649-672, March.
    2. Ghosh, Debabrata & Shah, Janat, 2012. "A comparative analysis of greening policies across supply chain structures," International Journal of Production Economics, Elsevier, vol. 135(2), pages 568-583.
    3. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    4. Klaus Conrad, 2005. "Price Competition and Product Differentiation When Consumers Care for the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 31(1), pages 1-19, May.
    5. Liu, Zugang (Leo) & Anderson, Trisha D. & Cruz, Jose M., 2012. "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 218(3), pages 602-613.
    6. Wanki Moon & Wojciech J. Florkowski & Bernhard Brückner & Ilona Schonhof, 2002. "Willingness to Pay for Environmental Practices: Implications for Eco-Labeling," Land Economics, University of Wisconsin Press, vol. 78(1), pages 88-102.
    7. James Kroes & Ravi Subramanian & Ramanath Subramanyam, 2012. "Operational Compliance Levers, Environmental Performance, and Firm Performance Under Cap and Trade Regulation," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 186-201, April.
    8. Jerome Vanclay & John Shortiss & Scott Aulsebrook & Angus Gillespie & Ben Howell & Rhoda Johanni & Michael Maher & Kelly Mitchell & Mark Stewart & Jim Yates, 2011. "Customer Response to Carbon Labelling of Groceries," Journal of Consumer Policy, Springer, vol. 34(1), pages 153-160, March.
    9. Zuo-Jun Max Shen & Collette Coullard & Mark S. Daskin, 2003. "A Joint Location-Inventory Model," Transportation Science, INFORMS, vol. 37(1), pages 40-55, February.
    10. Gil-Moltó, Maria José & Varvarigos, Dimitrios, 2013. "Emission taxes and the adoption of cleaner technologies: The case of environmentally conscious consumers," Resource and Energy Economics, Elsevier, vol. 35(4), pages 486-504.
    11. Ahmadi Javid, Amir & Azad, Nader, 2010. "Incorporating location, routing and inventory decisions in supply chain network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 582-597, September.
    12. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    13. Tang, Christopher S. & Zhou, Sean, 2012. "Research advances in environmentally and socially sustainable operations," European Journal of Operational Research, Elsevier, vol. 223(3), pages 585-594.
    14. Gary Clyde Hufbauer & Steve Charnovitz & Jisun Kim, 2009. "Global Warming and the World Trading System," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 4280, April.
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