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Sustainable, multimodal and reliable supply chain design

Author

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  • Ozgur Kabadurmus

    (Yasar University)

  • Mehmet S. Erdogan

    (Yasar University)

Abstract

Emerging issues and new challenges of globalization have forced companies to design their supply chains for not only minimizing cost but also considering other factors. Supply chains are exposed to new environmental regulations to reduce their carbon emissions and compelled to consider other overlooked factors, such as risk. In this paper, we consider a multi-echelon multimodal supply chain network design problem with multiple products and components that take economic, environmental and risk factors into account. The problem is modeled as a Mixed Integer Linear Programming model and constrained by a carbon cap-and-trade scheme and a risk threshold. This novel problem realistically portrays the supply chain network design considering sustainability and reliability factors simultaneously. The proposed model has been tested on randomly generated hypothetical but realistic test instances. The impacts of different risk thresholds and unit carbon prices on the supply chain cost, risk and emissions are analyzed. The effects of multimodal transportation modes on cost, risk and emissions are also tested. Results prove that using multimodal transportation decreases supply chain cost and carbon emission. In addition, the total supply chain cost and carbon emission increase if the decision maker is risk-averse. The choice of transportation modes is sensitive only to emission levels.

Suggested Citation

  • Ozgur Kabadurmus & Mehmet S. Erdogan, 2020. "Sustainable, multimodal and reliable supply chain design," Annals of Operations Research, Springer, vol. 292(1), pages 47-70, September.
    • Handle: RePEc:spr:annopr:v:292:y:2020:i:1:d:10.1007_s10479-020-03654-0
    DOI: 10.1007/s10479-020-03654-0
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    1. World Bank & Ecofys, "undated". "Carbon Pricing Watch 2017," World Bank Publications - Reports 26565, The World Bank Group.
    2. Fahimnia, Behnam & Jabbarzadeh, Armin & Sarkis, Joseph, 2018. "Greening versus resilience: A supply chain design perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 129-148.
    3. Fahimnia, Behnam & Jabbarzadeh, Armin, 2016. "Marrying supply chain sustainability and resilience: A match made in heaven," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 306-324.
    4. Lawrence H. Goulder & Andrew R. Schein, 2013. "Carbon Taxes Versus Cap And Trade: A Critical Review," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 1-28.
    5. Choudhary, Alok & Sarkar, Sagar & Settur, Srikar & Tiwari, M.K., 2015. "A carbon market sensitive optimization model for integrated forward–reverse logistics," International Journal of Production Economics, Elsevier, vol. 164(C), pages 433-444.
    6. Harpreet Kaur & Surya Prakash Singh, 2019. "Sustainable procurement and logistics for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 309-354, December.
    7. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    8. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    9. Liotta, Giacomo & Stecca, Giuseppe & Kaihara, Toshiya, 2015. "Optimisation of freight flows and sourcing in sustainable production and transportation networks," International Journal of Production Economics, Elsevier, vol. 164(C), pages 351-365.
    10. 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.
    11. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    12. Armin Jabbarzadeh & Behnam Fahimnia & Fatemeh Sabouhi, 2018. "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5945-5968, September.
    13. Diabat, Ali & Al-Salem, Mohammed, 2015. "An integrated supply chain problem with environmental considerations," International Journal of Production Economics, Elsevier, vol. 164(C), pages 330-338.
    14. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
    15. Behnam Fahimnia & Joseph Sarkis & John Boland & Mohsen Reisi & Mark Goh, 2015. "Policy insights from a green supply chain optimisation model," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6522-6533, November.
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    4. Zhitao Xu & Shaligram Pokharel & Adel Elomri, 2023. "An eco-friendly closed-loop supply chain facing demand and carbon price uncertainty," Annals of Operations Research, Springer, vol. 320(2), pages 1041-1067, January.
    5. Batool Madani & Afef Saihi & Akmal Abdelfatah, 2024. "A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends," Sustainability, MDPI, vol. 16(8), pages 1-33, April.

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