OPTIMAL PRODUCTION POLICY FOR IMPERFECT ITEMS UNDER LEARNING AND FORGETTING ENVIRONMENT

DOI: https://doi.org/10.56815/IJMRR.V1.I1.2022/27-34

Authors

  • Preeti Jawla Department of Applied Science & Humanities, IIMT College Of Engineering, Greater Noida, India
  • Ankit Mahura Department of Applied Science & Humanities, IIMT College Of Engineering, Greater Noida, India

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https://doi.org/10.56815/IJMRR.V1.I1.2022/27-34

Keywords:

Imperfect, Exponential, Partial Backlogging, Inflation, Demand, Learning

Abstract

In an imperfect production process with the impact of inflation, this study studies an economic production quantity (EPQ) model with exponential demand. The machine may go from an in-control state to an out-of-control state throughout a lengthy procedure. As a result, the system produces imperfect items. Shortages are permitted and partially backlogged with an exponential rate. We developed the model in both fuzzy and crisp sense. It is well known that as the number of cycle increase the percentage of defective items decrease due to the learning and forgetting effect of the past. Similar in the case of set up cost which also decreases due to the learning and forgetting effect.

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