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An EPQ model with promotional demand in random planning horizon: population varying genetic algorithm approach

Author

Listed:
  • A. K. Manna

    (Vidyasagar University)

  • B. Das

    (Sidho-Kanho-Birsha University)

  • J. K. Dey

    (Mahishadal Raj College)

  • S. K. Mondal

    (Vidyasagar University)

Abstract

One of the economic production quantity problems that have been of interest to researchers is the production with reworking of the imperfect items including waste most disposal form and vending the units. The available models in the literature assumed that the decay rate of the items is satisfied from three different points of view: (i) minimum demands of the customer’s requirement, (ii) demands to be enhanced for lower selling price and (iii) demands of the customers who are motivated by the advertisement. The model is developed over a finite random planning horizon, which is assumed to follow the exponential distribution with known parameters. The model has been illustrated with a numerical example, whose parametric inputs are estimated from market survey. Here the model is optimized by using a population varying genetic algorithm.

Suggested Citation

  • A. K. Manna & B. Das & J. K. Dey & S. K. Mondal, 2018. "An EPQ model with promotional demand in random planning horizon: population varying genetic algorithm approach," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1515-1531, October.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:7:d:10.1007_s10845-016-1195-0
    DOI: 10.1007/s10845-016-1195-0
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    References listed on IDEAS

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    Cited by:

    1. Amalesh Kumar Manna & Leopoldo Eduardo Cárdenas-Barrón & Jayanta Kumar Dey & Shyamal Kumar Mondal & Ali Akbar Shaikh & Armando Céspedes-Mota & Gerardo Treviño-Garza, 2022. "A Fuzzy Imperfect Production Inventory Model Based on Fuzzy Differential and Fuzzy Integral Method," JRFM, MDPI, vol. 15(6), pages 1-19, May.
    2. Herbon, Avi & David, Israel, 2023. "Optimal manufacturer's cost sharing ratio, shipping policy and production rate – A two-echelon supply chain," Operations Research Perspectives, Elsevier, vol. 10(C).
    3. 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.

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