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Economic Lot-Sizing for Integrated Production and Transportation

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  • Hark-Chin Hwang

    (Department of Industrial Engineering, Chosun University, Dong-Gu, Gwangju 501-759, South Korea)

Abstract

In this study, improved and new algorithms are developed for economic lot-sizing problems with integrated production and transportation operations. To model the economies of scale in production with the effect of shipment consolidation in transportation, we assume concave production costs and stepwise transportation costs. More specifically, we consider concave/fixed-charge/nonspeculative cost functions in production, and nonstationary/stationary delivery cost functions in transportation. The cost functions in production are always assumed to be nonstationary. To achieve a cost-effective production and shipment schedule over time, inventories are considered for carrying and backlogging items. Efficient solution procedures are provided for all the models with or without backlogging under assumed cost structures.

Suggested Citation

  • Hark-Chin Hwang, 2010. "Economic Lot-Sizing for Integrated Production and Transportation," Operations Research, INFORMS, vol. 58(2), pages 428-444, April.
    • Handle: RePEc:inm:oropre:v:58:y:2010:i:2:p:428-444
    DOI: 10.1287/opre.1090.0727
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    References listed on IDEAS

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    Cited by:

    1. Meherishi, Lavanya & Narayana, Sushmita A. & Ranjani, K.S., 2021. "Integrated product and packaging decisions with secondary packaging returns and protective packaging management," European Journal of Operational Research, Elsevier, vol. 292(3), pages 930-952.
    2. Lee, Shine-Der & Fu, Yen-Chen, 2014. "Joint production and delivery lot sizing for a make-to-order producer–buyer supply chain with transportation cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 23-35.
    3. Feng Li & Zhou Xu & Zhi-Long Chen, 2020. "Production and Transportation Integration for Commit-to-Delivery Mode with General Shipping Costs," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 1012-1029, October.
    4. Ming Zhao & Minjiao Zhang, 2020. "Multiechelon Lot Sizing: New Complexities and Inequalities," Operations Research, INFORMS, vol. 68(2), pages 534-551, March.
    5. Archetti, Claudia & Bertazzi, Luca & Grazia Speranza, M., 2014. "Polynomial cases of the economic lot sizing problem with cost discounts," European Journal of Operational Research, Elsevier, vol. 237(2), pages 519-527.
    6. Hwang, Hark-Chin & Kang, Jangha, 2021. "An improved algorithm for the lot-sizing problem with outbound shipment," Omega, Elsevier, vol. 100(C).
    7. Hwang, Hark-Chin & Kang, Jangha, 2016. "Two-phase algorithm for the lot-sizing problem with backlogging for stepwise transportation cost without speculative motives," Omega, Elsevier, vol. 59(PB), pages 238-250.
    8. Mosca, Alyssa & Vidyarthi, Navneet & Satir, Ahmet, 2019. "Integrated transportation – inventory models: A review," Operations Research Perspectives, Elsevier, vol. 6(C).
    9. Ou, Jinwen & Feng, Jiejian, 2019. "Production lot-sizing with dynamic capacity adjustment," European Journal of Operational Research, Elsevier, vol. 272(1), pages 261-269.
    10. Hwang, Hark-Chin & Kang, Jangha, 2020. "The two-level lot-sizing problem with outbound shipment," Omega, Elsevier, vol. 90(C).

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