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Reliability analysis of bleaching system in a paper industry

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  • Seema Sharma
  • Mamta

Abstract

This paper presents a fuzzy technique to examine the reliability of bleaching system in a paper industry using uncertain data. The uncertainties in failure/repair data of every subsystem/component of the bleaching system are quantified using two types of fuzzy numbers, trapezoidal and triangular fuzzy numbers. The basic arrangement of components/subsystems of bleaching system is represented using Petri net model. The fuzzy values of various reliability metrics of bleaching system for different uncertainty levels have been evaluated employing fuzzy λ-τ technique. Subsequently, to analyse the failure behaviour of bleaching system and to plan for suitable maintenance policies, these fuzzy values have been defuzzified using centre of area method. The analysis is useful for plant managers to improve the performance of bleaching system by establishing and implementing appropriate maintenance strategies and policies.

Suggested Citation

  • Seema Sharma & Mamta, 2025. "Reliability analysis of bleaching system in a paper industry," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 50(4), pages 512-530.
    • Handle: RePEc:ids:ijisen:v:50:y:2025:i:4:p:512-530
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