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Decision-making system for agile manufacturing implementation: a fuzzy-based simulation

Author

Listed:
  • Rahul Kumar
  • Kanwarpreet Singh
  • Sanjiv Kumar Jain

Abstract

The objective of present work is to examine the contribution of critical success factors towards the agile manufacturing implementation in the manufacturing industry. The critical success factors of agile manufacturing are extracted from the literature. Fuzzy logic toolbox of MATLAB is used to assess the success of agile manufacturing implementation. The outcomes of fuzzy rule viewer show that information technology (IT), human resources-related issues (HRM), customer-related issues (CR) and leadership support (LS) have arisen as significant factors for agile manufacturing implementation. The novelty of this work lies in the application of fuzzy logic toolbox of MATLAB to assist industry professionals to evaluate the success of agile manufacturing implementation.

Suggested Citation

  • Rahul Kumar & Kanwarpreet Singh & Sanjiv Kumar Jain, 2024. "Decision-making system for agile manufacturing implementation: a fuzzy-based simulation," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 47(2), pages 202-226.
    • Handle: RePEc:ids:ijbisy:v:47:y:2024:i:2:p:202-226
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