IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v79y2015icp22-48.html
   My bibliography  Save this article

Resilient supplier selection and order allocation under operational and disruption risks

Author

Listed:
  • Torabi, S.A.
  • Baghersad, M.
  • Mansouri, S.A.

Abstract

This study proposes a bi-objective mixed possibilistic, two-stage stochastic programming model to address supplier selection and order allocation problem to build the resilient supply base under operational and disruption risks. The model accounts for epistemic uncertainty of critical data and applies several proactive strategies such as suppliers’ business continuity plans, fortification of suppliers and contracting with backup suppliers to enhance the resilience level of the selected supply base. A five-step method is designed to solve the problem efficiently. The computational results demonstrate the significant impact of considering disruptive events on the selected supply base.

Suggested Citation

  • Torabi, S.A. & Baghersad, M. & Mansouri, S.A., 2015. "Resilient supplier selection and order allocation under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 22-48.
    • Handle: RePEc:eee:transe:v:79:y:2015:i:c:p:22-48
    DOI: 10.1016/j.tre.2015.03.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136655451500071X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2015.03.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ruiz-Torres, Alex J. & Mahmoodi, Farzad, 2006. "A supplier allocation model considering delivery failure, maintenance and supplier cycle costs," International Journal of Production Economics, Elsevier, vol. 103(2), pages 755-766, October.
    2. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    3. Oecd, 2014. "Consumer Policy Guidance on Mobile and Online Payments," OECD Digital Economy Papers 236, OECD Publishing.
    4. Yu, Haisheng & Zeng, Amy Z. & Zhao, Lindu, 2009. "Single or dual sourcing: decision-making in the presence of supply chain disruption risks," Omega, Elsevier, vol. 37(4), pages 788-800, August.
    5. ., 2014. "Evolving policy issues and regulatory frameworks," Chapters, in: Regulating Health Foods, chapter 3, pages 29-46, Edward Elgar Publishing.
    6. Li, Xiaopeng & Ouyang, Yanfeng & Peng, Fan, 2013. "A supporting station model for reliable infrastructure location design under interdependent disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 80-93.
    7. ., 2014. "A 'population problem': theory and policy," Chapters, in: Vanity Economics, chapter 19, pages 184-192, Edward Elgar Publishing.
    8. Sawik, Tadeusz, 2011. "Selection of supply portfolio under disruption risks," Omega, Elsevier, vol. 39(2), pages 194-208, April.
    9. Meena, P.L. & Sarmah, S.P., 2013. "Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 84-97.
    10. Vining, Aidan & Globerman, steven, 1999. "A conceptual framework for understanding the outsourcing decision," European Management Journal, Elsevier, vol. 17(6), pages 645-654, December.
    11. Sawik, Tadeusz, 2013. "Selection of resilient supply portfolio under disruption risks," Omega, Elsevier, vol. 41(2), pages 259-269.
    12. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    13. ., 2014. "A typology of policy measures," Chapters, in: Confronting the Shadow Economy, chapter 5, pages iii-iii, Edward Elgar Publishing.
    14. Hou, Jing & Zeng, Amy Z. & Zhao, Lindu, 2010. "Coordination with a backup supplier through buy-back contract under supply disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 881-895, November.
    15. Azevedo, Susana G. & Govindan, Kannan & Carvalho, Helena & Cruz-Machado, V., 2011. "GResilient index to assess the greenness and resilience of the automotive supply chain," Discussion Papers on Economics 8/2011, University of Southern Denmark, Department of Economics.
    16. ., 2014. "Theoretical framework for merger law and policy," Chapters, in: International Merger Policy, chapter 2, pages 14-49, Edward Elgar Publishing.
    17. Torabi, S.A. & Mansouri, S.A., 2015. "Integrated business continuity and disaster recovery planning: Towards organizational resilienceAuthor-Name: Sahebjamnia, N," European Journal of Operational Research, Elsevier, vol. 242(1), pages 261-273.
    18. ., 2014. "Evaluating the policy options," Chapters, in: Confronting the Shadow Economy, chapter 4, pages iii-iii, Edward Elgar Publishing.
    19. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    20. ., 2014. "Northeast Asia: regional logistics policy," Chapters, in: Asian-Pacific Rim Logistics, chapter 10, pages 350-372, Edward Elgar Publishing.
    21. Berger, Paul D. & Gerstenfeld, Arthur & Zeng, Amy Z., 2004. "How many suppliers are best? A decision-analysis approach," Omega, Elsevier, vol. 32(1), pages 9-15, February.
    22. ., 2012. "Water Supply," Chapters, in: Regulatory Reform of Public Utilities, chapter 5, pages 75-86, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Faiza Hamdi & Ahmed Ghorbel & Faouzi Masmoudi & Lionel Dupont, 2018. "Optimization of a supply portfolio in the context of supply chain risk management: literature review," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 763-788, April.
    2. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    3. Aliyu, Abubakar Sadiq & Dada, Joseph O. & Adam, Ibrahim Khalil, 2015. "Current status and future prospects of renewable energy in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 336-346.
    4. Fattahi, Mohammad, 2021. "Resilient procurement planning for supply chains: A case study for sourcing a critical mineral material," Resources Policy, Elsevier, vol. 74(C).
    5. Guertler, Benjamin & Spinler, Stefan, 2015. "When does operational risk cause supply chain enterprises to tip? A simulation of intra-organizational dynamics," Omega, Elsevier, vol. 57(PA), pages 54-69.
    6. Meena, P.L. & Sarmah, S.P. & Sarkar, A., 2011. "Sourcing decisions under risks of catastrophic event disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1058-1074.
    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. Salehi Sadghiani, N. & Torabi, S.A. & Sahebjamnia, N., 2015. "Retail supply chain network design under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 95-114.
    9. Bodendorf, Frank & Sauter, Maximilian & Franke, Jörg, 2023. "A mixed methods approach to analyze and predict supply disruptions by combining causal inference and deep learning," International Journal of Production Economics, Elsevier, vol. 256(C).
    10. Khalid Zaman, 2015. "Determinants of Nuclear Energy Consumption in South Asia: Economic and Energy Security Issues," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 822-827.
    11. Pritee Ray & Mamata Jenamani, 2016. "Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach," Annals of Operations Research, Springer, vol. 237(1), pages 237-262, February.
    12. PrasannaVenkatesan, S. & Goh, M., 2016. "Multi-objective supplier selection and order allocation under disruption risk," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 124-142.
    13. Pritee Ray & Mamata Jenamani, 2016. "Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach," Annals of Operations Research, Springer, vol. 237(1), pages 237-262, February.
    14. Guertler, Benjamin & Spinler, Stefan, 2015. "Supply risk interrelationships and the derivation of key supply risk indicators," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 224-236.
    15. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2017. "An assessment of supply chain disruption mitigation strategies," International Journal of Production Economics, Elsevier, vol. 184(C), pages 210-230.
    16. Davide Luzzini & Stefano Ronchi, 2016. "Cinderella purchasing transformation: linking purchasing status to purchasing practices and business performance," Post-Print hal-01289902, HAL.
    17. Roni, Mohammad S. & Jin, Mingzhou & Eksioglu, Sandra D., 2015. "A hybrid inventory management system responding to regular demand and surge demand," Omega, Elsevier, vol. 52(C), pages 190-200.
    18. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
    19. Meena, P.L. & Sarmah, S.P., 2013. "Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 84-97.
    20. Zhalechian, M. & Torabi, S. Ali & Mohammadi, M., 2018. "Hub-and-spoke network design under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 20-43.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:79:y:2015:i:c:p:22-48. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.