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Grouping in decomposition method for multi-item capacitated lot-sizing problem with immediate lost sales and joint and item-dependent setup cost

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Listed:
  • M. Narenji
  • S.M.T. Fatemi Ghomi
  • S.V.R. Nooraie

Abstract

This article examines a dynamic and discrete multi-item capacitated lot-sizing problem in a completely deterministic production or procurement environment with limited production/procurement capacity where lost sales (the loss of customer demand) are permitted. There is no inventory space capacity and the production activity incurs a fixed charge linear cost function. Similarly, the inventory holding cost and the cost of lost demand are both associated with a linear no-fixed charge function. For the sake of simplicity, a unit of each item is assumed to consume one unit of production/procurement capacity. We analyse a different version of setup costs incurred by a production or procurement activity in a given period of the planning horizon. In this version, called the joint and item-dependent setup cost, an additional item-dependent setup cost is incurred separately for each produced or ordered item on top of the joint setup cost.

Suggested Citation

  • M. Narenji & S.M.T. Fatemi Ghomi & S.V.R. Nooraie, 2011. "Grouping in decomposition method for multi-item capacitated lot-sizing problem with immediate lost sales and joint and item-dependent setup cost," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(3), pages 489-498.
  • Handle: RePEc:taf:tsysxx:v:42:y:2011:i:3:p:489-498
    DOI: 10.1080/00207720903579013
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    Cited by:

    1. Nooraie, S. Vahid & Mellat Parast, Mahour, 2015. "A multi-objective approach to supply chain risk management: Integrating visibility with supply and demand risk," International Journal of Production Economics, Elsevier, vol. 161(C), pages 192-200.
    2. Vahid Nooraie, S. & Parast, Mahour Mellat, 2016. "Mitigating supply chain disruptions through the assessment of trade-offs among risks, costs and investments in capabilities," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 8-21.
    3. Dadsena, Krishna Kumar & Sarmah, S.P. & Naikan, V.N.A. & Jena, Sarat Kumar, 2019. "Optimal budget allocation for risk mitigation strategy in trucking industry: An integrated approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 37-55.

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