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Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development

Author

Listed:
  • Yan Fang

    (School of Business, Dalian University of Technology, Panjin 124221, China)

  • Yiping Jiang

    (Department of Management Engineering, Nanjing Agricultural University, Nanjing 210031, China)

  • Lijun Sun

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116023, China)

  • Xingxing Han

    (School of Business, Dalian University of Technology, Panjin 124221, China)

Abstract

The development of Belt and Road has seen a boom of imported fresh agri-products in China. This stimulates the growth of refrigerated transport, which accounts for much more carbon emissions than traditional transport. Designing a sustainable cold chain network is of vital importance from both financial and environmental perspectives. In this research, a multi-objective linear programming model is proposed for green cold chain design for multiple imported fresh agri-products in China to balance between the two competing goals—the total cost and carbon emissions. The effect of the outdoor air temperature on the carbon emissions of transportation and maintaining distribution centers is considered. By applying the ε-constraint method, the multi-objective model is solved. Numerical examples derived from the scenario of imported fresh-agri products in China are conducted to shed light on green cold chain design under Belt and Road development.

Suggested Citation

  • Yan Fang & Yiping Jiang & Lijun Sun & Xingxing Han, 2018. "Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1572-:d:146344
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    References listed on IDEAS

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    1. Lee, Der-Horng & Dong, Meng & Bian, Wen, 2010. "The design of sustainable logistics network under uncertainty," International Journal of Production Economics, Elsevier, vol. 128(1), pages 159-166, November.
    2. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    3. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    4. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    5. Christina Strotmann & Christine Göbel & Silke Friedrich & Judith Kreyenschmidt & Guido Ritter & Petra Teitscheid, 2017. "A Participatory Approach to Minimizing Food Waste in the Food Industry—A Manual for Managers," Sustainability, MDPI, vol. 9(1), pages 1-21, January.
    6. Validi, Sahar & Bhattacharya, Arijit & Byrne, P.J., 2014. "A case analysis of a sustainable food supply chain distribution system—A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 152(C), pages 71-87.
    7. Shuai Yang & Yujie Xiao & Yan Zheng & Yan Liu, 2017. "The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control," Sustainability, MDPI, vol. 9(9), pages 1-8, August.
    8. Anirut Pipatprapa & Hsiang-Hsi Huang & Ching-Hsu Huang, 2016. "A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques," Sustainability, MDPI, vol. 8(3), pages 1-16, March.
    9. Antonella Meneghetti & Luca Monti, 2015. "Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6567-6587, November.
    10. McKinnon, A.C. & Piecyk, M.I., 2009. "Measurement of CO2 emissions from road freight transport: A review of UK experience," Energy Policy, Elsevier, vol. 37(10), pages 3733-3742, October.
    11. Ahmad Rezaee & Farzad Dehghanian & Behnam Fahimnia & Benita Beamon, 2017. "Green supply chain network design with stochastic demand and carbon price," Annals of Operations Research, Springer, vol. 250(2), pages 463-485, March.
    12. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    13. Hasani, Aliakbar & Khosrojerdi, Amirhossein, 2016. "Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 20-52.
    14. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
    15. 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.
    16. Tsao, Yu-Chung & Lu, Jye-Chyi, 2012. "A supply chain network design considering transportation cost discounts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 401-414.
    17. Arıkan, Emel & Fichtinger, Johannes & Ries, Jörg M., 2014. "Impact of transportation lead-time variability on the economic and environmental performance of inventory systems," International Journal of Production Economics, Elsevier, vol. 157(C), pages 279-288.
    18. Arikan, E. & Fichtinger, J. & Ries, J. M., 2014. "Impact of transportation lead-time variability on the economic and environmental performance of inventory systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63386, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    19. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    20. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    21. Borodin, Valeria & Bourtembourg, Jean & Hnaien, Faicel & Labadie, Nacima, 2016. "Handling uncertainty in agricultural supply chain management: A state of the art," European Journal of Operational Research, Elsevier, vol. 254(2), pages 348-359.
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    Cited by:

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    3. Carlos A. Moreno-Camacho & Jairo R. Montoya-Torres & Anicia Jaegler, 2023. "Sustainable supply chain network design: a study of the Colombian dairy sector," Annals of Operations Research, Springer, vol. 324(1), pages 573-599, May.

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