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A Production Reliable Model for Imperfect Items with Random Machine Breakdown Under Learning and Forgetting

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Optimization and Inventory Management

Part of the book series: Asset Analytics ((ASAN))

Abstract

This chapter considers the impact of preservation technology on an “economic production quantity” model in which the production process may not only shift from an “in-control” state to an “out-of-control” state but also may fail at any random point in time during production run time. Model is developed for multi-items with imperfect quality by considering the situation of random machine failure over infinite planning horizon. Demand rate is assumed to be multivariate. A reliable and flexible production inventory system is considered under learning and forgetting environment. We studied model in both crisp and fuzzy environment, and significant features of the model are illustrated by numerical experiments. So, numerical examples along with sensitivity analysis are given to show how the solution procedure works as well as the usages of research results.

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Author information

Authors and Affiliations

  1. Banasthali Vidyapith, Vanasthali, Rajasthan, India

    Preeti Jawla

  2. CCS University, Meerut, India

    S. R. Singh

Authors
  1. Preeti Jawla
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  2. S. R. Singh
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Corresponding author

Correspondence to Preeti Jawla .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Gujarat University, Ahmedabad, India

    Nita H. Shah

  2. Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India

    Mandeep Mittal

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Jawla, P., Singh, S.R. (2020). A Production Reliable Model for Imperfect Items with Random Machine Breakdown Under Learning and Forgetting. In: Shah, N., Mittal, M. (eds) Optimization and Inventory Management. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-9698-4_6

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