Measuring the structural resilience of supply network and critical nodes
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As supply networks are becoming increasingly complex and uncertain, the importance of reliability of supply network has been increased. Supply risk occurring within an individual supplier does not stay in this individual supplier, as they have consequences for other companies throughout the supply chain. Thus, to insure the stability of the supply network, it is necessary to measure the structural reliability of both the supply network and the individual companies constituting the supply network. Therefore, this paper aims to develop indices to evaluate the structural resilience of supply networks and individual suppliers. Towards this purpose, the paper firstly models a diffusion process of supply risk through the supply network, before moving to develop indices which measure the overall level of supply risk amplification in the supply network and at the final assembly company. The developed network level indices can be converted into node level indices to assess the risk amplification of individual suppliers. Subsequently, node level indices can identify which suppliers need to be managed to mitigate the overall supply risk in the supply network or at the final assembly company. Experiments were conducted on various types of supply networks, and managerial implications are discussed.
Abstract
As supply networks are becoming increasingly complex and uncertain, the importance of reliability of supply network has been increased. Supply risk occurring within an individual supplier does not stay in this individual supplier, as they have consequences for other companies throughout the supply chain. Thus, to insure the stability of the supply network, it is necessary to measure the structural reliability of both the supply network and the individual companies constituting the supply network. Therefore, this paper aims to develop indices to evaluate the structural resilience of supply networks and individual suppliers. Towards this purpose, the paper firstly models a diffusion process of supply risk through the supply network, before moving to develop indices which measure the overall level of supply risk amplification in the supply network and at the final assembly company. The developed network level indices can be converted into node level indices to assess the risk amplification of individual suppliers. Subsequently, node level indices can identify which suppliers need to be managed to mitigate the overall supply risk in the supply network or at the final assembly company. Experiments were conducted on various types of supply networks, and managerial implications are discussed.
참고문헌 (18)
- Basole, R. C., "Supply Network Structure, Visibility, and Risk Diffusion : A Computational Approach", Decision Sciences, 45(4), pp.753~789 (2014)
- Chopra, S., "Managing Risk to Avoid Supply-chain Breakdown", MIT Sloan Management Review, 46(1), pp.53~62 (2004)
- Frazzon, E., "Simulation-based Analysis of a Supplier-manufacturer Relationship in Lean Supply Chains", International Journal of Lean Six Sigma, 8(3), pp.262~274 (2017)
- Han, J., "Evaluation Mechanism for Structural Robustness of Supply Chain Considering Disruption Propagation", International Journal of Production Research, 54(1), pp.131~151 (2016)
- Harland, C. M., "A Taxonomy of Supply Networks", Journal of Supply Chain Management, 37(3), pp.21~27 (2001)
- Ho, W., "Supply Chain Risk Management : A Literature Review", International Journal of Production Research, 53(16), pp.5031~5069 (2015)
- Ivanov, D., "Literature Review on Disruption Recovery in the Supply Chain", International Journal of Production Research, 55(20), pp.6158~6174 (2017)
- 정의범, "네트워크 분석과 메타 분석을 통한 공급사슬통합 연구", 한국생산관리학회지, 31(1), pp.49~69 (2020), 한국생산관리학회[DOI]
- Kamalahmadi, M., "A Review of the Literature on the Principles of Enterprise and Supply Chain Resilience : Major Findings and Directions for Future Research", International Journal of Production Economics, 171(1), pp.116~133 (2016)
- Kim, Y., "Supply Network Disruption and Resilience: A Network Structural Perspective", Journal of Operations Management, 33-34, pp.43~59 (2015)
- 문향기, "위험 전파 모형을 고려한 공급사슬의 구조적 취약성 평가 지표 설계", 한국전자거래학회지, 20(2), pp.125~140 (2015), 한국전자거래학회[DOI]
- Paniccia, I., "One, a Hundred, Thousands of Industrial Districts. Organizational Variety in Local Networks of Small and Mediumsized Enterprises", Organization Studies, 19(4), pp.667~699 (1998)
- Ponomarov, S. Y., "Understanding the Concept of Supply Chain Resilience", International Journal of Logistics Management, 20(1), pp.124~143 (2009)
- Nissan Motor Company Ltd: Building Operational Resiliency, "Schmidt, W.", MIT Sloan Management, ~, pp.Case Number 13-150 (2013)
- Siddhartha, "Review of Agile Supply Chain Implementation Frameworks", International Journal of Business Performance and Supply Chain Modelling, 8(1), pp.27~45 (2016)
- 송응석, "공급사슬 리스크 연구 동향과 이슈: 키워드 네트워크 분석", 한국생산관리학회지, 29(4), pp.377~395 (2018), 한국생산관리학회[DOI]
- Tang, L., "Robustness of Assembly Supply Chain Networks by Considering Risk Propagation and Cascading Failure", Physica A, 459, pp.129~139 (2016)
- 왕천기, "An Investigation of the Optimal Closed-Loop Supply Chain for Electronic Products", 한국생산관리학회지, 30(4), pp.345~371 (2019), 한국생산관리학회[DOI]
