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Integrated optimization of safety stock and transportation capacity

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  • Tempelmeier, Horst
  • Bantel, Oliver

Abstract

In this paper we consider a segment of a supply chain comprising an inventory and a transportation system that cooperate in the fulfillment of stochastic customer orders. The inventory is operated under a discrete time (r, s, q) policy with backorders. The transportation system consists of an in-house transportation capacity which can be extended by costly external transportation capacity (such as a third-party logistics provider). We show that in a system of this kind stock-outs and the resulting accumulation of inventory backorders introduces volatility in the workload of the transportation process. Geunes and Zeng (2001) have shown for a base-stock system, that backordering decreases the variability of transportation orders. Our findings show that in inventory systems with order cycles longer than one period the opposite is true. In both cases, however, inventory decisions and transportation decision must be taken simultaneously.

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  • Tempelmeier, Horst & Bantel, Oliver, 2015. "Integrated optimization of safety stock and transportation capacity," European Journal of Operational Research, Elsevier, vol. 247(1), pages 101-112.
    • Handle: RePEc:eee:ejores:v:247:y:2015:i:1:p:101-112
    DOI: 10.1016/j.ejor.2015.05.069
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    References listed on IDEAS

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    Cited by:

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    5. Pitchaikani Mala & Muthusamy Palanivel & Siluvayan Priyan & Anuwat Jirawattanapanit & Grienggrai Rajchakit & Pramet Kaewmesri, 2022. "Sustainable Supply Chain System for Defective Products with Different Carbon Emission Strategies," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    6. 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.
    7. Mahdavi, Mojtaba & Mahmoudzadeh, Mahdi & Olsen, Tava Lennon, 2023. "Efficient vs. Responsive supplier selection for functional and innovative products: A quantitative study," International Journal of Production Economics, Elsevier, vol. 255(C).
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    9. Stefan Helber & Ton Kok & Heinrich Kuhn & Michael Manitz & Andrea Matta & Raik Stolletz, 2019. "Quantitative approaches in production management," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 867-870, December.

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