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

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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.

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Data availability

Data is available on request.

Abbreviations

SC:

Supply Chain

JIT:

Just in Time

SCres:

Supply Chain Resilience

MCDM:

Multi-Criteria Decision Making

AHP:

Analytic Hierarchy Process

IT:

Information Technology

SCB:

Supply Chain Buffer

RDN:

Redesigning Network

PMS:

Proactive Managing Suppliers

MMESC:

Managing Multi-Enterprise Supply Chain

MEER:

Managing End-to-End Risk

PASS:

Planning based on Anticipation, Simulation, and Scenario Development

ANP:

Analytic Network Process

DEMATEL:

Decision-Making Trial and Evaluation Laboratory

BWM:

Best Worst Method

TOPSIS:

Technique for Order Performance by Similarity to Ideal Solution

SWARA:

Stepwise Weight Assessment Ratio Analysis

3PL:

Third-Party Logistics

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Authors and Affiliations

  1. Department of Management Studies, Malaviya National Institute of Technology Jaipur, Jaipur, India

    Akshay Patidar & Monica Sharma

  2. Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, India

    Monica Sharma & Rajeev Agrawal

  3. Department of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Pilani, India

    Kuldip Singh Sangwan

  4. Department of Mechanical Engineering, Indian Institute of Technology Ropar, Ropar, India

    Prabir Sarkar

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  1. Akshay Patidar
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  2. Monica Sharma
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  3. Rajeev Agrawal
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  4. Kuldip Singh Sangwan
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  5. Prabir Sarkar
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Correspondence to Akshay Patidar.

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Highlights

1. Building resilience in supply chains in developing economies is challenging due to the diversity of practices and difficulties in measuring their impact.

2. This study, focuses on developing economies like India, introduces a weighted Ishikawa diagram to identify causes and their contributions to supply chain resilience.

3. The study finds that 80% of resilience arises from shock absorption capabilities, 20% from rapid reaction capabilities, and emphasizes the significance of creating supply chain buffers and network redesigning.

4. The findings offer valuable insights for researchers and practitioners seeking to boost supply chain resilience.

Appendix

Appendix

1.1 (A)

Fig. 13
figure 13

Summarizing outcomes of the article published by (Schuster et al. 2021)

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1.2 (B)

Table 5 Description of factors identified from literature review
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Patidar, A., Sharma, M., Agrawal, R. et al. Building supply chain resilience in developing economies: A weighted Ishikawa diagram approach. Oper Manag Res 17, 363–386 (2024). https://doi.org/10.1007/s12063-023-00433-5

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  • DOI: https://doi.org/10.1007/s12063-023-00433-5

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