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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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    4. Chen, Ting & Xiong, Yu, 2024. "Product positioning of low-carbon products based on blockchain-enabled product communities," Technovation, Elsevier, vol. 132(C).

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