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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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    1. Yang, Hui-Ling & Teng, Jinn-Tsair & Chern, Maw-Sheng, 2010. "An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages," International Journal of Production Economics, Elsevier, vol. 123(1), pages 8-19, January.
    2. Goyal, Suresh Kumar & Cardenas-Barron, Leopoldo Eduardo, 2002. "Note on: Economic production quantity model for items with imperfect quality - a practical approach," International Journal of Production Economics, Elsevier, vol. 77(1), pages 85-87, May.
    3. Moattar Husseini, S.M. & O'Brien, C. & Hosseini, S.T., 2006. "A method to enhance volume flexibility in JIT production control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 653-665, December.
    4. Sana, Shib Sankar & Goyal, Suresh Kumar & Chaudhuri, Kripasindhu, 2007. "An imperfect production process in a volume flexible inventory model," International Journal of Production Economics, Elsevier, vol. 105(2), pages 548-559, February.
    5. Dey, Jayanta Kumar & Mondal, Shyamal Kumar & Maiti, Manoranjan, 2008. "Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money," European Journal of Operational Research, Elsevier, vol. 185(1), pages 170-194, February.
    6. Salameh, M. K. & Jaber, M. Y., 2000. "Economic production quantity model for items with imperfect quality," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 59-64, March.
    7. Debasis Das & Mohuya Kar & Arindam Roy & Samarjit Kar, 2012. "Two-warehouse production model for deteriorating inventory items with stock-dependent demand under inflation over a random planning horizon," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 251-280, June.
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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. 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. 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).

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