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.
- 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 Scholar
- Waters, D. (2007). Supply Chain Risk Management:Vulnerabiity and Resilience in Logistics. London: Kogan PageGoogle Scholar
- Kleindorfer, P. R., & Saad, G. H. (2005). Managing Disruption Risks in Supply Chains. Production and Operations Management Society, 14(1), 53--68.Google ScholarCross Ref
- 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 Scholar
- 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 Scholar
- Haeri, A., Hosseini-Motlagh, S., & Ghatreh Samani, M. S. (2019). A mixed resilient-efficient approach toward blood supplyGoogle Scholar
- 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 Scholar
- Folke, C., Carpenter, S. R., & Walk, B. (2010). Resilience Thinking: Integrating Resilience, Adaptability and Transformability. Resilience Alliance.Google Scholar
- 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 ScholarCross Ref
- P. (2004). Supply Chain Risk Management. Supply Chain Management: An International Journal, 183--196.Google Scholar
- Anityasari, M., & Wessiani, N. A. (2011). Analisa Kelayakan Usaha. Surabaya: Guna Widya.Google Scholar
- 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 ScholarDigital Library
- Ivanov, D. (2017). Structural Dynamics and Resilience in Supply Chain Risk Management. Switzerland: Springer.Google Scholar
- 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 Scholar
- Holling, C. (1973). Resilience and Stability of Ecological Systems. Annual Review of Ecology and Systematics (pp. 1--23). Canada: Annual Reviews.Google Scholar
- Luthans, F., Vogelgesang, G. R., & Lester, P. B. (2006). Developing the Psychological Capital of Resiliency. SAGE: Human Resource Development Review.Google ScholarCross Ref
- 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 Scholar
- Heckmann, I., Comes, T., & Nickel, S. (2014). A Critical Review on Supply Chain Risk - Definition, Measure and Modeling. Omega.Google Scholar
- Pujawan, I. N., & ER, M. (2010). Supply Chain Management. Surabaya: Guna Widya.Google Scholar
- Arnold, J. R., & Chapman, S. N. (2004). Introduction to Materials Management. Columbus: Prentice Hall.Google Scholar
- 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 ScholarDigital Library
- Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. Emerald, 124--143.Google Scholar
- 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 Scholar
- Kahiluoto, H., & Makinen, H. (2019). Supplying resilience through assessing diversity of responses to disruption. Emerald.Google Scholar
- 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 Scholar
- 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 ScholarCross Ref
- 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 Scholar
Index Terms
- Evaluation of Supply Chain Resilience: Development of RARE Framework
Recommendations
Achieving Supply Chain Resilience through Supply Chain Risk Management and Supply Chain Partnership
ICCMB '22: Proceedings of the 2022 5th International Conference on Computers in Management and BusinessSupply Chain Resilience (SCRs) is a set of adaptive capabilities that enables preparedness for unanticipated occurrences, reduces interruptions, and restores operations to a steady state by restoring operations to the expected degree of connection and ...
Measuring supply chain resilience using a deterministic modeling approach
To achieve a competitive edge in an uncertain business environment where change is imperative, one of the significant challenges for an organization is to mitigate risk by creating resilient supply chains. This research proposes a model using graph ...
Modeling enablers of supply chain risk mitigation in electronic supply chains
Constructed causaleffect diagrams among enablers of risk mitigation.Grey theory and DEMATEL have been employed to effectively quantify enablers.One enabler can be the cause/effect of one or more enablers.Steps for instigating causal enablers can in turn ...
Comments