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Supply chain scheduling at the manufacturer to minimize inventory holding and delivery costs

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  • Selvarajah, Esaignani
  • Zhang, Rui

Abstract

In a supply chain, a manufacturer receives jobs from suppliers at distinct time points, and produces and delivers final products to customers in batches. The manufacturer can be modeled as a single machine in the supply chain and the problem can thus be modelled as minimizing the sum of weighted flow time and the batch delivery costs. Since the problem with arbitrary processing times, release times and weights is strongly NP-hard, we first analyze some polynomially solvable special problems. Then we develop a heuristic algorithm to solve the general problem. We also develop a lower bound to study the performance of our heuristic algorithm and the computational experiments show that the solutions of the heuristic algorithm are close to optimal solution.

Suggested Citation

  • Selvarajah, Esaignani & Zhang, Rui, 2014. "Supply chain scheduling at the manufacturer to minimize inventory holding and delivery costs," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 117-124.
    • Handle: RePEc:eee:proeco:v:147:y:2014:i:pa:p:117-124
    DOI: 10.1016/j.ijpe.2013.08.015
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Wu, Yu-Bin & Wan, Long & Wang, Xiao-Yuan, 2015. "Study on due-window assignment scheduling based on common flow allowance," International Journal of Production Economics, Elsevier, vol. 165(C), pages 155-157.
    2. Wan, Long & Zhang, An, 2014. "Coordinated scheduling on parallel machines with batch delivery," International Journal of Production Economics, Elsevier, vol. 150(C), pages 199-203.
    3. Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
    4. Cheng, Shuenn-Ren, 2014. "Some new problems on two-agent scheduling to minimize the earliness costs," International Journal of Production Economics, Elsevier, vol. 156(C), pages 24-30.
    5. Liang Tang & Zhihong Jin & Xuwei Qin & Ke Jing, 2019. "Supply chain scheduling in a collaborative manufacturing mode: model construction and algorithm design," Annals of Operations Research, Springer, vol. 275(2), pages 685-714, April.
    6. Ata Allah Taleizadeh, 2017. "Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-28, August.

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