skip to main content
10.1145/3400934.3400990acmotherconferencesArticle/Chapter ViewAbstractPublication PagesapcoriseConference Proceedingsconference-collections
research-article

Evaluation of Supply Chain Resilience: Development of RARE Framework

Authors Info & Claims
Published:25 August 2020Publication History

ABSTRACT

Intensive use of technology makes a system becomes so complex that risks may arise. These risks must be anticipated properly. Risk management has been practiced to handle impact caused by the risks. In its development, risk management does not only focus on mitigation actions but also try to make the system more resilient to the risks. Resilience is defined as a system ability for sustaining or restoring the system when a risk appears. System resilience now becomes an important issue since not all risks can be avoided, as those of natural disaster risks. On the other hand, studies on the system resilience level have not been done much. Therefore, this paper tries to study the Risk and Resilience Evaluation (RARE) involved in the supply chain system. This study begins with supply chain risk identification, evaluation, and selection. The selected risks then be evaluated further to know the supply chain system resilience over the risk. Literature review is used as the basis for determining the key factors affecting the level of the system resilience. These factors are then projected into the supply chain system resilience consisting of suppliers, internal companies, distributors, retailer, and customer. The research shows that the dominant factors affecting the system resilience level is the speed of the system to detect risks arise, the speed to response the problems, and the speed of the system in recovering the failure.

References

  1. Roy, K. C., Cebrian, M., & Hasan, S. (2019). Quantifying Human Mobility Resilience to Extreme Event Using Geo-Located Social Media Data. EPJ Data Science a Springer Open Journal.Google ScholarGoogle Scholar
  2. Waters, D. (2007). Supply Chain Risk Management:Vulnerabiity and Resilience in Logistics. London: Kogan PageGoogle ScholarGoogle Scholar
  3. Kleindorfer, P. R., & Saad, G. H. (2005). Managing Disruption Risks in Supply Chains. Production and Operations Management Society, 14(1), 53--68.Google ScholarGoogle ScholarCross RefCross Ref
  4. DuHadway, S., Carnovale, S., & Hazen, B. (2017). Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery. Annals of Operations Research, 179--198.Google ScholarGoogle Scholar
  5. Hamborg, S., Meya, J. N., Eisenack, K., & Raabe, T. (2019). Rethinking Resilience: A cross-epistemic Resiliensce Framework for Interdisciplinary Energy Research. Elsevier, 114--118.Google ScholarGoogle Scholar
  6. Haeri, A., Hosseini-Motlagh, S., & Ghatreh Samani, M. S. (2019). A mixed resilient-efficient approach toward blood supplyGoogle ScholarGoogle Scholar
  7. Caroline, R., Lee, S., Johnstone, J., Rosatto, C., Sánchez, G. F., Suárez, A. D., & Roberts, J. (2018). Reconceptualising workplace resilience - A cross-disciplinary perspective. anales de psicología, 332--339.Google ScholarGoogle Scholar
  8. Folke, C., Carpenter, S. R., & Walk, B. (2010). Resilience Thinking: Integrating Resilience, Adaptability and Transformability. Resilience Alliance.Google ScholarGoogle Scholar
  9. Bhamra, R., Dani, S., & Burnard, K. (2011). Resilience: The Concept, a Literature Review and Futrure Directions. International Journal of Production Research, 49(18), 5375--5393.Google ScholarGoogle ScholarCross RefCross Ref
  10. P. (2004). Supply Chain Risk Management. Supply Chain Management: An International Journal, 183--196.Google ScholarGoogle Scholar
  11. Anityasari, M., & Wessiani, N. A. (2011). Analisa Kelayakan Usaha. Surabaya: Guna Widya.Google ScholarGoogle Scholar
  12. Qin, J., Xi, Y., & Pedrycz, W. (2020). Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method. Elsevier: Applied Soft Computing Journal.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Ivanov, D. (2017). Structural Dynamics and Resilience in Supply Chain Risk Management. Switzerland: Springer.Google ScholarGoogle Scholar
  14. Junaid, M., Xue, Y., Syed, M. W., Li, J. Z., & Ziaullah, M. (2019). A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan. Sustainability.Google ScholarGoogle Scholar
  15. Holling, C. (1973). Resilience and Stability of Ecological Systems. Annual Review of Ecology and Systematics (pp. 1--23). Canada: Annual Reviews.Google ScholarGoogle Scholar
  16. Luthans, F., Vogelgesang, G. R., & Lester, P. B. (2006). Developing the Psychological Capital of Resiliency. SAGE: Human Resource Development Review.Google ScholarGoogle ScholarCross RefCross Ref
  17. Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O'Rourke, T. D., Reinhorn, A. M., . . . Winterfeldt, D. v. (2003). A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities. Earthquake Spectra, 733--752.Google ScholarGoogle Scholar
  18. Heckmann, I., Comes, T., & Nickel, S. (2014). A Critical Review on Supply Chain Risk - Definition, Measure and Modeling. Omega.Google ScholarGoogle Scholar
  19. Pujawan, I. N., & ER, M. (2010). Supply Chain Management. Surabaya: Guna Widya.Google ScholarGoogle Scholar
  20. Arnold, J. R., & Chapman, S. N. (2004). Introduction to Materials Management. Columbus: Prentice Hall.Google ScholarGoogle Scholar
  21. Carvalho, H., Barroso, A. P., Machado, V. H., Azevedo, S., & Cruz-Machado, V. (2011). Supply Chain Redesign for Resilience Using Simulation. Computers and Industrial Engineering 62, 329--341.Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. Emerald, 124--143.Google ScholarGoogle Scholar
  23. Shao, L., & Jin, S. (2020). Resilience assessment of the lithium supply chain in China under impact of new energy vehicles and supply interruption. Elzevier.Google ScholarGoogle Scholar
  24. Kahiluoto, H., & Makinen, H. (2019). Supplying resilience through assessing diversity of responses to disruption. Emerald.Google ScholarGoogle Scholar
  25. Karla, A. A., Micheluzzia, J., Leitea, L. R., & Pereiraa, C. R. (2018). Supply chain resilience and key performance indicators: a systematic literature review. Production, 28.Google ScholarGoogle Scholar
  26. Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: review and conceptual framework. Journal of Industrial Engineering International, 1(15), 105--117.Google ScholarGoogle ScholarCross RefCross Ref
  27. Suef, M., Suparno, S., & Singgih, M. L. (2017). Categorizing product attributes efficiently in QFD-Kano: a case analysis in telecommunication. Emerald, 29(3), 512--527.Google ScholarGoogle Scholar

Index Terms

  1. Evaluation of Supply Chain Resilience: Development of RARE Framework

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      APCORISE '20: Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering
      June 2020
      410 pages
      ISBN:9781450376006
      DOI:10.1145/3400934

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 August 2020

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      APCORISE '20 Paper Acceptance Rate68of110submissions,62%Overall Acceptance Rate68of110submissions,62%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader