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A novel advanced grey incidence analysis for investigating the level of resilience in supply chains

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  • R. Rajesh

    (ABV-Indian Institute of Information Technology and Management)

Abstract

Supply chain risk management embroils quite a lot of situations of managerial decision-making under uncertainties. As contemporary supply chains are intricate networks exposed to ample vulnerabilities, a resilient supply chain with inbuilt capabilities for responding to unanticipated events can assume significance. This paper proposes a decision support model for managers for knowing, measuring and improving the level of resilience in manufacturing supply chains. A novel computational methodology involving the incidence analysis and grey theory is proposed in this study. Using the methodology of advanced analysis of grey incidences, the level of resilience of supply chains can be measured. Various strategies and attributes imparting resilience, particularly relevant to the manufacturing industry are analyzed in this research. A framework considering five strategies and twenty-three attributes contributing to supply chain resilience is also constructed. And a case evaluation has been conducted to implementing the proposed methodology. Managers can ascertain their supply chain resilience capabilities by means of synthetic resilience index, as recommended in this study. From the measures of resilience for the bygone period, top management can assess and improve the resilience capabilities of their supply chain, by taking strategic level decisions. Graphic abstract

Suggested Citation

  • R. Rajesh, 2022. "A novel advanced grey incidence analysis for investigating the level of resilience in supply chains," Annals of Operations Research, Springer, vol. 308(1), pages 441-490, January.
    • Handle: RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03641-5
    DOI: 10.1007/s10479-020-03641-5
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    1. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "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, Elsevier, vol. 171(P1), pages 116-133.
    2. Dmitry Ivanov, 2018. "Revealing interfaces of supply chain resilience and sustainability: a simulation study," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3507-3523, May.
    3. Wenting Pan & Kut C. So, 2016. "Component procurement strategies in decentralized assembly systems under supply uncertainty," IISE Transactions, Taylor & Francis Journals, vol. 48(3), pages 267-282, March.
    4. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Marina Ivanova, 2017. "Literature review on disruption recovery in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6158-6174, October.
    5. Çelikbilek, Yakup & Tüysüz, Fatih, 2016. "An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources," Energy, Elsevier, vol. 115(P1), pages 1246-1258.
    6. Merschmann, Ulf & Thonemann, Ulrich W., 2011. "Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms," International Journal of Production Economics, Elsevier, vol. 130(1), pages 43-53, March.
    7. Liu, Chiung-Lin & Shang, Kuo-Chung & Lirn, Taih-Cherng & Lai, Kee-Hung & Lun, Y.H. Venus, 2018. "Supply chain resilience, firm performance, and management policies in the liner shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 202-219.
    8. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    9. Elisabetta Genovese & Valentin Przyluski, 2013. "Storm surge disaster risk management: the Xynthia case study in France," Journal of Risk Research, Taylor & Francis Journals, vol. 16(7), pages 825-841, August.
    10. Thun, Jörn-Henrik & Hoenig, Daniel, 2011. "An empirical analysis of supply chain risk management in the German automotive industry," International Journal of Production Economics, Elsevier, vol. 131(1), pages 242-249, May.
    11. Wagner, Stephan M. & Neshat, Nikrouz, 2010. "Assessing the vulnerability of supply chains using graph theory," International Journal of Production Economics, Elsevier, vol. 126(1), pages 121-129, July.
    12. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    13. Brusset, Xavier & Teller, Christoph, 2017. "Supply chain capabilities, risks, and resilience," International Journal of Production Economics, Elsevier, vol. 184(C), pages 59-68.
    14. Peyman Taki & Farnaz Barzinpour & Ebrahim Teimoury, 2016. "Risk-pooling strategy, lead time, delivery reliability and inventory control decisions in a stochastic multi-objective supply chain network design," Annals of Operations Research, Springer, vol. 244(2), pages 619-646, September.
    15. Sahebjamnia, Navid & Torabi, S. Ali & Mansouri, S. Afshin, 2018. "Building organizational resilience in the face of multiple disruptions," International Journal of Production Economics, Elsevier, vol. 197(C), pages 63-83.
    16. Dou, Yijie & Zhu, Qinghua & Sarkis, Joseph, 2014. "Evaluating green supplier development programs with a grey-analytical network process-based methodology," European Journal of Operational Research, Elsevier, vol. 233(2), pages 420-431.
    17. Vipul Jain & Sameer Kumar & Umang Soni & Charu Chandra, 2017. "Supply chain resilience: model development and empirical analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6779-6800, November.
    18. Samuel Fosso Wamba, 2012. "Achieving supply chain Integration using RFID Technology: the Case of Emerging Intelligent B to B e-commerce Processes in a Living Laboratory," Post-Print hal-00809258, HAL.
    19. Sarah Maslen, 2015. "Organisational factors for learning in the Australian gas pipeline industry," Journal of Risk Research, Taylor & Francis Journals, vol. 18(7), pages 896-909, August.
    20. Rajesh, R., 2017. "Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 161-169.
    21. Biao Yang & Kiran Jude Fernandes, 2010. "Global supply chain risk management: a socio-technical perspective," International Journal of Business Environment, Inderscience Enterprises Ltd, vol. 3(2), pages 240-249.
    22. Tsai, Sang-Bing & Xue, Youzhi & Zhang, Jianyu & Chen, Quan & Liu, Yubin & Zhou, Jie & Dong, Weiwei, 2017. "Models for forecasting growth trends in renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1169-1178.
    23. Xun Li & Qun Wu & Clyde W. Holsapple & Thomas Goldsby, 2017. "An empirical examination of firm financial performance along dimensions of supply chain resilience," Management Research Review, Emerald Group Publishing Limited, vol. 40(3), pages 254-269, March.
    24. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    25. Qinghua Li & Bo Li & Ping Chen & Pengwen Hou, 2017. "Dual-channel supply chain decisions under asymmetric information with a risk-averse retailer," Annals of Operations Research, Springer, vol. 257(1), pages 423-447, October.
    26. Olivier Lavastre & A. Gunasekaran & Alain Spalanzani, 2012. "Supply chain risk management in french companies," Post-Print halshs-00740450, HAL.
    27. Sarker, Ruhul & Essam, Daryl, 2017. "A quantitative model for disruption mitigation in a supply chainAuthor-Name: Paul, Sanjoy Kumar," European Journal of Operational Research, Elsevier, vol. 257(3), pages 881-895.
    28. Xiao, Tiaojun & Qi, Xiangtong, 2008. "Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers," Omega, Elsevier, vol. 36(5), pages 741-753, October.
    29. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    30. Wei, Sun & Yanfeng, Xu, 2017. "Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform," Energy, Elsevier, vol. 118(C), pages 969-984.
    31. Burke, Gerard J. & Carrillo, Janice & Vakharia, Asoo J., 2008. "Heuristics for sourcing from multiple suppliers with alternative quantity discounts," European Journal of Operational Research, Elsevier, vol. 186(1), pages 317-329, April.
    32. Dmitry Ivanov & Boris Sokolov, 2019. "Simultaneous structural–operational control of supply chain dynamics and resilience," Annals of Operations Research, Springer, vol. 283(1), pages 1191-1210, December.
    33. Dilek Yilmaz Borekci & Yasin Rofcanin & Hasan Gürbüz, 2015. "Organisational resilience and relational dynamics in triadic networks: a multiple case analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6839-6867, November.
    34. Yi-Chung Hu, 2017. "Electricity consumption prediction using a neural-network-based grey forecasting approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1259-1264, October.
    35. Droge, Cornelia & Vickery, Shawnee K. & Jacobs, Mark A., 2012. "Does supply chain integration mediate the relationships between product/process strategy and service performance? An empirical study," International Journal of Production Economics, Elsevier, vol. 137(2), pages 250-262.
    36. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    37. Wang, Xiaojun & Chan, Hing Kai & Yee, Rachel W.Y. & Diaz-Rainey, Ivan, 2012. "A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain," International Journal of Production Economics, Elsevier, vol. 135(2), pages 595-606.
    38. Ravi Shankar Kumar & Alok Choudhary & Soudagar A. K. Irfan Babu & Sri Krishna Kumar & A. Goswami & M. K. Tiwari, 2017. "Designing multi-period supply chain network considering risk and emission: a multi-objective approach," Annals of Operations Research, Springer, vol. 250(2), pages 427-461, March.
    39. Mishra, Deepa & Sharma, R.R.K. & Kumar, Sameer & Dubey, Rameshwar, 2016. "Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance," International Journal of Production Economics, Elsevier, vol. 180(C), pages 183-197.
    40. Rezapour, Shabnam & Farahani, Reza Zanjirani & Pourakbar, Morteza, 2017. "Resilient supply chain network design under competition: A case study," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1017-1035.
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