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An order expediting policy for continuous review systems with manufacturing lead-time

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  • Chiang, Chi

Abstract

Expedited shipments are often seen in practice. When the inventory level of an item gets dangerously low after an order has been placed, material managers are often willing to expedite the order at extra fixed and/or variable costs. This paper proposes a single-item continuous-review order expediting inventory policy, which can be considered as an extension of ordinary (s,Q) models. Besides the two usual operational parameters: reorder point s and order quantity Q, it consists of a third parameter called the expedite-up-to level R. If inventory falls below R at the end of the manufacturing lead-time, the buyer can request the upstream supplier to deliver part of an outstanding order via a fast transportation mode. The amount expedited will raise inventory to R, while the remaining order is delivered via a slow (regular) supply mode. Simple procedures are developed to obtain optimal operational parameters. Computational results show that the proposed policy can save large costs for a firm if service level is high, demand variability is large, the extra cost for expediting is small, or the manufacturing lead-time is long.

Suggested Citation

  • Chiang, Chi, 2010. "An order expediting policy for continuous review systems with manufacturing lead-time," European Journal of Operational Research, Elsevier, vol. 203(2), pages 526-531, June.
  • Handle: RePEc:eee:ejores:v:203:y:2010:i:2:p:526-531
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    Cited by:

    1. Engebrethsen, Erna & Dauzère-Pérès, Stéphane, 2019. "Transportation mode selection in inventory models: A literature review," European Journal of Operational Research, Elsevier, vol. 279(1), pages 1-25.
    2. Pérez, Cinthia & Geunes, Joseph, 2014. "A (Q,R) inventory replenishment model with two delivery modes," European Journal of Operational Research, Elsevier, vol. 237(2), pages 528-545.
    3. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
    4. Bertazzi, Luca & Mogre, Riccardo, 2018. "Dynamic expediting of an urgent order with uncertain progress," European Journal of Operational Research, Elsevier, vol. 267(1), pages 78-85.
    5. Höller, Simon J. & Özsen, Raik & Thonemann, Ulrich W., 2020. "Determining optimal parameters for expediting policies under service level constraints," European Journal of Operational Research, Elsevier, vol. 281(2), pages 274-285.
    6. Fu, Ke & Xu, Jiayan & Miao, Zhaowei, 2013. "Newsvendor with multiple options of expediting," European Journal of Operational Research, Elsevier, vol. 226(1), pages 94-99.
    7. Li, Xiang & Li, Yongjian & Cai, Xiaoqiang, 2011. "On a multi-period supply chain system with supplementary order opportunity," European Journal of Operational Research, Elsevier, vol. 209(3), pages 273-284, March.
    8. Raik Özsen & Ulrich W. Thonemann, 2015. "Determining Optimal Parameters for Expediting Policies," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 120-133, February.

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