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An economic production lot-size (EPLS) model with rework and flexibility under allowable shortages

Author

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  • Narayan Singh
  • Bindu Vaish
  • S.R. Singh

Abstract

This paper develops a model to determine the optimal reliability and production rate that achieves the biggest total integrated profit for an imperfect production process under allowable shortage. This paper extends the paper of Sana (2010). Here, we consider two type of production process in a cycle time. One is 'in-control' state at the starting of the production which provides conforming quality items and second one is 'out-control' state after certain time due to higher production rate and production run time. In this study, we also consider that selling price of the units depends upon the unit production cost and screening cost of the items. The total cost function is illustrated by numerical examples and also its sensitivity analysis is carried out.

Suggested Citation

  • Narayan Singh & Bindu Vaish & S.R. Singh, 2012. "An economic production lot-size (EPLS) model with rework and flexibility under allowable shortages," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 5(1), pages 104-122.
    • Handle: RePEc:ids:ijpman:v:5:y:2012:i:1:p:104-122
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    Citations

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    Cited by:

    1. Narayan Singh & Bindu Vaish & Shiv Ray Singh, 2014. "A collaborative strategy for a three echelon supply chain with ramp type demand, deterioration and inflation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(3), pages 77-100.
    2. Glock, Christoph H. & Grosse, Eric H., 2021. "The impact of controllable production rates on the performance of inventory systems: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 288(3), pages 703-720.
    3. Farnaz Ghazi Nezami & Mojtaba Heydar, 2019. "Energy-aware Economic Production Quantity model with variable energy pricing," Operational Research, Springer, vol. 19(1), pages 201-218, March.

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