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An economic manufacturing quantity model with probabilistic deterioration in a production system

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  • Sarkar, Mitali
  • Sarkar, Biswajit

Abstract

This paper develops an economic manufacturing quantity (EMQ) model with deterioration and exponential demand in a production system over a finite time horizon under the effect of inflation and time value of money. The production rate is a dynamic variable (varying with time) in a production system. Due to a long run process, the machinery system is converted from in-control state to out-of-control state which results the production of improper items. The improper items are reworked at a fixed cost to make it as proper. With the increasing value of time, the production of improper item also increases. To reduce the production of the improper items, the systems have to be more reliable and with less amount of failure. In this direction, the model considers that the development cost, production cost, and material cost are dependent on the reliability parameter. The deterioration of the product is considered probabilistic to make the research a more realistic one. By considering the reliability parameter as a decision variable, we try to obtain the associated profit of the system which we have to maximize. To derive the maximization procedure, we use Euler–Lagrange formula from control theory. We outline some numerical examples along with graphical representations and sensitivity analysis to illustrate the model.

Suggested Citation

  • Sarkar, Mitali & Sarkar, Biswajit, 2013. "An economic manufacturing quantity model with probabilistic deterioration in a production system," Economic Modelling, Elsevier, vol. 31(C), pages 245-252.
  • Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:245-252
    DOI: 10.1016/j.econmod.2012.11.019
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    2. Salisu, Afees A. & Ndako, Umar B., 2018. "Modelling stock price–exchange rate nexus in OECD countries: A new perspective," Economic Modelling, Elsevier, vol. 74(C), pages 105-123.
    3. Biswajit Sarkar & Sharmila Saren & Leopoldo Cárdenas-Barrón, 2015. "An inventory model with trade-credit policy and variable deterioration for fixed lifetime products," Annals of Operations Research, Springer, vol. 229(1), pages 677-702, June.
    4. Sana, Shib Sankar, 2013. "Sales team's initiatives and stock sensitive demand — A production control policy," Economic Modelling, Elsevier, vol. 31(C), pages 783-788.
    5. Nita H. Shah & Dushyantkumar G. Patel & Digeshkumar B. Shah, 2014. "Optimal Policies for Deteriorating Items with Maximum Lifetime and Two-Level Trade Credits," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2014, pages 1-5, April.
    6. Nita H. Shah & Mrudul Y. Jani & Urmila Chaudhari, 2018. "Optimal replenishment time for retailer under partial upstream prepayment and partial downstream overdue payment for quadratic demand," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 24(1), pages 1-11, January.
    7. Mehran Ullah & Biswajit Sarkar & Iqra Asghar, 2019. "Effects of Preservation Technology Investment on Waste Generation in a Two-Echelon Supply Chain Model," Mathematics, MDPI, vol. 7(2), pages 1-20, February.
    8. Jafari, L. & Makis, V., 2015. "Joint optimal lot sizing and preventive maintenance policy for a production facility subject to condition monitoring," International Journal of Production Economics, Elsevier, vol. 169(C), pages 156-168.
    9. Javad Sadeghi & Seyed Taghi Akhavan Niaki & Mohammad Reza Malekian & Saeid Sadeghi, 2016. "Optimising multi-item economic production quantity model with trapezoidal fuzzy demand and backordering: two tuned meta-heuristics," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 170-195.
    10. Wang, Wan-Chih & Teng, Jinn-Tsair & Lou, Kuo-Ren, 2014. "Seller’s optimal credit period and cycle time in a supply chain for deteriorating items with maximum lifetime," European Journal of Operational Research, Elsevier, vol. 232(2), pages 315-321.
    11. Yong He & Hongfu Huang & Dong Li, 2020. "Inventory and pricing decisions for a dual-channel supply chain with deteriorating products," Operational Research, Springer, vol. 20(3), pages 1461-1503, September.
    12. M. Palanivel & R. Uthayakumar, 2017. "A production-inventory model with promotional effort, variable production cost and probabilistic deterioration," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 290-300, January.

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