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A novel fuzzy decision support system for performance optimisation of an Indian milk process industry based effluent treatment plant

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  • Dilbagh Panchal
  • Nand Gopal
  • Prasenjit Chatterjee

Abstract

This work presents a fuzzy decision support system to optimise the performance issues of an effluent treatment plant (ETP) within an Indian milk process industry under the concern of environmental issues. The system employs a nonlinear fuzzy Jaya Lambda-Tau optimisation (JLTO) approach-based coding implemented in MATLAB for determining the reliability based performance parameters of the ETP unit. As the degree of uncertainty or vagueness increases, the system's performance based on availability parameter indicated towards decreasing trend. Furthermore, an analysis of potential risks is accompanied using failure mode and effect analysis (FMEA) technique with input from experts to improve the availability of the unit. To overcome the limitations of conventional FMEA approach, fuzzy COmplex PRoportional ASsessment (FCOPRAS) method is incorporated within FMEA modelling. The robustness of the suggested system is examined through sensitivity analysis.

Suggested Citation

  • Dilbagh Panchal & Nand Gopal & Prasenjit Chatterjee, 2026. "A novel fuzzy decision support system for performance optimisation of an Indian milk process industry based effluent treatment plant," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 38(2), pages 240-276.
    • Handle: RePEc:ids:ijicbm:v:38:y:2026:i:2:p:240-276
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