본문 바로가기
KERD
논문KCI 등재

공급 사슬 고장 기간에 따른 대응 전략의 효과성 연구

Effectiveness of Response Strategies on Supply Chain Failure Periods

0

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류경영학

초록

오늘날 공급 사슬은 효율화와 글로벌화를 추구함으로써 더욱 복잡해지고 더 다양한 위험에 노출되고 있다. 이에 공급 사슬은 다양한 리스크의 특성에 맞는 대응 전략을 선택하고 실행하는 것이 기업과 공급 사슬의 생존에 필수적이다. 특히 고장 기간에 따른 적절한 대응 전략을 구사할 필요가 있다. 본 연구는 문헌 연구를 바탕으로 고장 기간에 따른 대응 전략의 효과성에 관한 가설을 제시하고 시뮬레이션과 회귀분석을 활용해 가설을 검정하였다. 대응 전략으로는 여유 재고 전략, 다중 조달 전략, 임시 공급선 전략을 살폈다. 그 결과 공급 사슬의 고장 기간이 길어질수록 여유 재고 전략의 대응 효과는 감소한 반면 다중 조달 전략의 대응 효과는 증가하였다. 임시 공급선 전략은 고장 기간이 짧을 경우 무대응보다 낮은 효과를 보였으나, 고장 기간이 길어지면 세 전략 중 가장 좋은 대응 효과를 보였다. 나아가, 시뮬레이션으로 얻은 대규모 데이터에 대한 위계적 회귀분석을 통해 시장 수요의 조절효과를 점검하였다. 그 결과 수요가 가파르게 증가하는 시장일수록 여유 재고 전략의 대응 효과는 더욱 감소하였고, 다중 조달 전략의 효과는 더욱 증가하였다. 임시 공급선 전략은 수요가 가파르게 증가하는 시장에서 고장 기간이 늘어날수록 대응 효과가 급격하게 증가했다. 이 연구 결과는 공급 사슬 관리자에게 공급 사슬 고장 기간에 따른 효과적인 대응 전략을 제시하며, 시장 수요의 증가세에 따라 그 효과가 달라질 수 있음을 강조하고 있다.

Abstract

Today supply chains have become more complex and exposed to more diverse risks due to globalization. It is essential for the supply chain to choose and implement a response strategy that fits the characteristics of the risk. In particular, it is necessary to use appropriate response strategies according to the period of failure. Based on literature research, this study presented hypotheses on the effectiveness of the response strategy on the failure period and tested the hypotheses using simulation and regression analysis. As for the response strategy, we investigated surplus inventory strategy, multiple sourcing strategy, and contingent rerouting strategy. As a result, the longer the failure period of the supply chain, the lower the effect of the surplus inventory strategy, while the effect of the multiple sourcing strategy increased. The contingent rerouting strategy showed a lower effect than non-response when the failure period was short, but when the failure period was long, it showed the best effect among the three strategies. Furthermore, the effect of the surplus inventory strategy further decreased as the demand increased sharply, and the effect of the multiple sourcing strategy further increased. The contingent rerouting strategy has seen a dramatic increase in response effects as the failure period increases when market demand increases sharply.

참고문헌 (49)

  1. 강아롬, "포트폴리오 다양성으로 본 자동차 산업 공급전략 유형: 중국 완성차 공급네트워크를 중심으로", 한국생산관리학회지, 34(3), pp.335~359 (2023), 한국생산관리학회
  2. 김정연, "공급업체 중단에 대비한 최적의 공급업체의 수 및 주문량 결정", 한국생산관리학회지, 24(4), pp.469~490 (2013), 한국생산관리학회[DOI]
  3. 박철순, "공급 네트워크 회복 전략의 상황별 효과성 연구", 한국생산관리학회지, 31(3), pp.209~227 (2020), 한국생산관리학회
  4. 정의범, "소셜 및 베이지안 네트워크 관점의 공급망 리스크 분석", 한국생산관리학회지, 34(1), pp.1~17 (2023), 한국생산관리학회
  5. Aldrighetti, R., "Costs of Resilience and Disruptions in Supply Chain Network Design Models : A Review and Future Research Directions", International Journal of Production Economics, 235, pp.108103~ (2021)
  6. Barabasi, A. -L., "Emergence of Scaling in Random Networks", Science, 286(5439), pp.509~512 (1999)
  7. "How Toyota Kept Making Cars When the Chips Were Down" (2021)[URL]
  8. Basole, R. C., "Supply Network Structure, Visibility, and Risk Diffusion : A Computational Approach", Decision Sciences, 45(4), pp.753~789 (2014)
  9. Chen, J., "A Supply Chain Disruption Recovery Strategy Considering Product Change under Covid-19", Journal of Manufacturing Systems, 60, pp.920~927 (2021)
  10. Choi, T. Y., "The Supply Base and Its Complexity : Implications for Transaction Costs, Risks, Responsiveness, and Innovation", Journal of Operations Management, 24(5), pp.637~652 (2006)
  11. Chopra, S., "Reducing the Risk of Supply Chain Disruptions", MIT Sloan Management Review, pp.73~80 (2014)
  12. Naimur Rahman Chowdhury, "Assessing strategies to mitigate the impacts of a pandemic in apparel supply chains", Operations Management Research (2023), Springer Science and Business Media LLC[DOI]
  13. Christopher, M., "Building the Resilient Supply Chain", The International Journal of Logistics Management, 15(2), pp.1~14 (2004)
  14. Dolgui, A., "Ripple Effect in the Supply Chain : An Analysis and Recent Literature", International Journal of Production Research, 56(1-2), pp.414~430 (2018)
  15. Ebrahim Nejad, A., "Responsive Contingency Planning in Supply Risk Management by Considering Congestion Effects", Omega, 48, pp.19~35 (2014)
  16. Hishamuddin, H., "A Simulation Model of a Three Echelon Supply Chain System with Multiple Suppliers Subject to Supply and Transportation Disruptions", IFAC-PapersOnLine, 48(3), pp.2036~2040 (2015)
  17. Hittle, B., "Decision Making in Advance of a Supply Chain Crisis", Management Decision, 49(7), pp.1182~1193 (2011)
  18. Hou, Y., "How Does the Trust Affect the Topology of Supply Chain Network and Its Resilience? An Agent-Based Approach", Transportation Research Part E : Logistics and Transportation Review, 116, pp.229~241 (2018)
  19. Hua, Z., "Operational Causes of Bankruptcy Propagation in Supply Chain", Decision Support Systems, 51(3), pp.671~681 (2011)
  20. Ivanov, D., "Simulation-Based Ripple Effect Modelling in the Supply Chain", International Journal of Production Research, 55(7), pp.2083~2101 (2017)
  21. Ivanov, D., "Simulation-Based Single vs. Dual Sourcing Analysis in the Supply Chain with Consideration of Capacity Disruptions, Big Data and Demand Patterns", International Journal of Integrated Supply Management, 11(1), pp.24~43 (2017)
  22. Ivanov, D., "Revealing Interfaces of Supply Chain Resilience and Sustainability : A Simulation Study", International Journal of Production Research, 56(10), pp.3507~3523 (2018)
  23. Ivanov, D., "The Ripple Effect in Supply Chains : Trade-Off ‘Efficiency-Flexibility-Resilience’ in Disruption Management", International Journal of Production Research, 52(7), pp.2154~2172 (2014)
  24. Jordan, W., "Principles on the Benefits of Manufacturing Process Flexibility", Management Science, 41(4), pp.577~594 (1995)
  25. Katsaliaki, K., "Supply Chain Disruptions and Resilience : A Major Review and Future Research Agenda", Annals of Operations Research, 319, pp.965~1002 (2022)
  26. Kleindorfer, P. R., "Managing Disruption Risks in Supply Chains", Production and Operations Management, 14(1), pp.53~68 (2005)
  27. Knight, F. H., "Risk, Uncertainty and Profit" (1921), University of Chicago Press
  28. Li, Y., "Exploring Supply Chain Network Resilience in the Presence of the Ripple Effect", International Journal of Production Economics, 228, pp.107693~ (2020)
  29. Lücker, F., "Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity", Omega, 73, pp.114~124 (2017)
  30. Macdonald, J. R., "Supply Chain Risk and Resilience : Theory Building through Structured Experiments and Simulation", International Journal of Production Research, 56(12), pp.4337~4355 (2018)
  31. Pratik Maheshwari, "Responsive strategies for new normal cold supply chain using greenfield, network optimization, and simulation analysis", Annals of Operations Research (2023), Springer Science and Business Media LLC[DOI]
  32. Mehrotra, M., "The Value of Supply Chain Disruption Duration Information", Production and Operations Management, 30(9), pp.3015~3035 (2021)
  33. Melnyk, S. A., "Making Sense of Transient Responses in Simulation Studies", International Journal of Production Research, 52(3), pp.617~632 (2014)
  34. Nair, A., "Supply Network Topology and Robustness against Disruptions-an Investigation Using Multi-Agent Model", International Journal of Production Research, 49(5), pp.1391~1404 (2011)
  35. Namdar, J., "Supply Chain Resilience for Single and Multiple Sourcing in the Presence of Disruption Risks", International Journal of Production Research, 56(6), pp.2339~2360 (2018)
  36. Parast, M. M., "Revisiting Supply Chain Risk", pp.367~389 (2019), Springer International Publishing
  37. Reyes, J., "Development of a Conceptual Model for Lean Supply Chain Planning in Industry 4. 0 : Multidimensional Analysis for Operations Management", Production Planning & Control, 34(12), pp.1209~1224 (2023)
  38. Sarkar, S., "A Behavioral Experiment on Inventory Management with Supply Chain Disruption", International Journal of Production Economics, 169, pp.169~178 (2015)
  39. Sawik, T., "Joint Supplier Selection and Scheduling of Customer Orders under Disruption Risks : Single Vs. Dual Sourcing", Omega, 43, pp.83~95 (2014)
  40. Sheffi, Y., "A Supply Chain View of the Resilient Enterprise", MIT Sloan Management Review, 47(1), pp.41~48 (2005)
  41. Simchi-Levi, D., "Increasing Supply Chain Robustness through Process Flexibility and Inventory", Production and Operations Management, 27(8), pp.1476~1491 (2018)
  42. Sterman, J. D., "Modeling Managerial Behavior : Misperceptions of Feedback in a Dynamic Decsion Making Environment", Management Science, 35(3), pp.321~321 (1989)
  43. Tang, C. S., "Perspectives in Supply Chain Risk Management", International Journal of Production Economics, 103(2), pp.451~488 (2006)
  44. Tomlin, B., "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks", Management Science, 52(5), pp.639~657 (2006)
  45. Wang, X., "Contingent Rerouting for Enhancing Supply Chain Resilience from Supplier Behavior Perspective", International Transactions in Operational Research, 23(4), pp.775~796 (2016)
  46. Wang, Y., "Mitigating Supply Risk : Dual Sourcing or Process Improvement?", Manufacturing & Service Operations Management, 12(3), pp.489~510 (2010)
  47. Wilensky, U., "NetLogo", Center for Connected Learning and Computer-Based Modeling, ~ (1999)
  48. Yu, H., "Single or Dual Sourcing : Decision-Making in the Presence of Supply Chain Disruption Risks", Omega, 37(4), pp.788~800 (2009)
  49. Zhao, K., "Modelling Supply Chain Adaptation for Disruptions : An Empirically Grounded Complex Adaptive Systems Approach", Journal of Operations Management, 65(2), pp.190~212 (2019)

관련 논문AI추천

이 간행물의 다른 논문 (6건)