Building supply chain resilience in developing economies: A weighted Ishikawa diagram approach

Akshay Patidar (), Monica Sharma, Rajeev Agrawal, Kuldip Singh Sangwan and Prabir Sarkar
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Akshay Patidar: Malaviya National Institute of Technology Jaipur
Monica Sharma: Malaviya National Institute of Technology Jaipur
Rajeev Agrawal: Malaviya National Institute of Technology Jaipur
Kuldip Singh Sangwan: Birla Institute of Technology and Science Pilani
Prabir Sarkar: Indian Institute of Technology Ropar

Operations Management Research, 2024, vol. 17, issue 1, No 20, 363-386

Abstract: Abstract This study aimed to identify the cause-and-effect relationship among the factors influencing a resilient supply chain and to quantify their importance using a cause and effect (Ishikawa) diagram and Multi-Criteria Decision Making (MCDM) tool respectively. The results showed that redesigning the network and creating a supply chain buffer were the most important criteria/pillars, and the most important factors were creating redundancy and robustness. The study also found that approximately 80% and 20% of resilience can be achieved by developing absorption and reactive capabilities, respectively. The importance weight provided by this study can be used by industry professionals to estimate achieving supply chain resilience, while academicians can use it as the foundation for future researches. Further, researches may be carried out by developing a digital twin to understand potential impact of disruptions and resilience strategies. Blockchain implementation precisely smart contracts may be studied, since it appears to be one among best solutions to create transparency, coordination and control mechanism in the supply chain system. The novelty of this study lies in the weighted Ishikawa diagram that quantifies the contribution of each factor in percentage terms, providing specific insights into the factors influencing supply chain resilience.

Keywords: Supply chain resilience; Factors; Capabilities; MCDM; Ishikawa diagram (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12063-023-00433-5

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