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An integrated fuzzy MCDM approach for manufacturing process improvement in MSMEs

Author

Listed:
  • Song Xu

    (Shanghai Maritime University)

  • Reena Nupur

    (Symbiosis International University (SIU))

  • Devika Kannan

    (University of Southern Denmark
    Woxsen University)

  • Rashi Sharma

    (Lal Bahadur Shastri Institute of Management)

  • Pallavi Sharma

    (Maharishi Dayanand University)

  • Sushil Kumar

    (Gautam Buddha University)

  • P. C. Jha

    (University of Delhi)

  • Chunguang Bai

    (University of Electronic Science and Technology of China)

Abstract

To deal with dynamic customer preferences and global competition, Medium, Small and Micro Enterprises (MSMEs) are striving to improve customer satisfaction by enhancing their process capability, optimising resource utilization and achieving cost effectiveness. Manufacturing line in MSMEs involves a number of complex processes and process variations lead to rejections of poor quality products resulting in monetary losses and customer dissatisfaction. Delivery of high quality product within constraints of manpower, machinery and other limited resources stipulates the need to improve the process performance of manufacturing line through quality management. With this perspective, the present work proposes a framework to identify and prioritize defects by integrating multicriteria decision making techniques- Fuzzy Decision Making Trial and Evaluation Laboratory and Fuzzy Analytic Network Process with Quality Management Practices. The integration filters out most influential defects prior to data collection and prioritize them to reach out to critical defects of manufacturing process. Additionally, it addresses challenges faced by management in terms of large number of defects, insufficient data on defects and dependency among selected criteria. The proposed framework is exhibited with the help of a real case study. It is practically relevant in deriving decision support solutions for improving performance of manufacturing line in MSME firms. By virtue of the results, key areas are identified to augment responsiveness to government policies and MSME’s proficiency to overcome resource constraints.

Suggested Citation

  • Song Xu & Reena Nupur & Devika Kannan & Rashi Sharma & Pallavi Sharma & Sushil Kumar & P. C. Jha & Chunguang Bai, 2023. "An integrated fuzzy MCDM approach for manufacturing process improvement in MSMEs," Annals of Operations Research, Springer, vol. 322(2), pages 1037-1073, March.
    • Handle: RePEc:spr:annopr:v:322:y:2023:i:2:d:10.1007_s10479-022-05093-5
    DOI: 10.1007/s10479-022-05093-5
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    References listed on IDEAS

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    1. Raj, Alok & Mukherjee, Abheek Anjan & de Sousa Jabbour, Ana Beatriz Lopes & Srivastava, Samir K., 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Journal of Business Research, Elsevier, vol. 142(C), pages 1125-1139.
    2. Kuen-Suan Chen & Tsang-Chuan Chang, 2020. "Construction and fuzzy hypothesis testing of Taguchi Six Sigma quality index," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 3110-3125, May.
    3. Vishal Kumar Manhas & Parmarth Gupta & Himanshu Gupta, 2015. "Developing and validating critical success factors of TQM implementation in MSMEs of Punjab in India," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 11(4), pages 405-421.
    4. Ashish Soti & Ravi Shankar & O.P. Kaushal, 2012. "Six sigma in manufacturing for micro, small and medium enterprises in India," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 9(1), pages 61-81.
    5. Anupama Prashar, 2014. "Adoption of Six Sigma DMAIC to reduce cost of poor quality," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(1), pages 103-126, January.
    6. Bin Zhou, 2016. "Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs)," Annals of Operations Research, Springer, vol. 241(1), pages 457-474, June.
    7. Anupama Prashar, 2014. "Adoption of Six Sigma DMAIC to reduce cost of poor quality," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(1), pages 103-126, January.
    8. Rajiv Kumar Sharma & Manjeet Kharub, 2015. "Qualitative and quantitative evaluation of barriers hindering the growth of MSMEs," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 8(6), pages 724-747.
    9. Sushil, 2020. "Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships," Annals of Operations Research, Springer, vol. 290(1), pages 677-695, July.
    10. K. C. Lam & Tiesong Hu & S. Thomas Ng & Martin Skitmore & S. O. Cheung, 2001. "A fuzzy neural network approach for contractor prequalification," Construction Management and Economics, Taylor & Francis Journals, vol. 19(2), pages 175-188.
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