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An approximate policy for a dual-sourcing inventory model with positive lead times and binomial yield

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  • Ju, Wanrong
  • Gabor, Adriana F.
  • van Ommeren, J.C.W.

Abstract

This paper studies the inventory system of a retailer who orders his products from two supply sources, a local one that is responsive and reliable, but expensive, and a global one that is low-cost but less reliable. The deliveries from the global source only partially satisfy the quality requirements. We model this situation with a dual-sourcing inventory model with positive lead times and random yield. We propose a dual-index order-up-to policy (DOP) based on approximating the inventory model with an unreliable supplier by a sequence of dual-sourcing models with reliable suppliers and suitably modified demand distributions. Numerical results show that the performance of this heuristic is close to that of the optimal DOP. Moreover, we extend the heuristic to models with advance yield information and study its impact on the total inventory costs.

Suggested Citation

  • Ju, Wanrong & Gabor, Adriana F. & van Ommeren, J.C.W., 2015. "An approximate policy for a dual-sourcing inventory model with positive lead times and binomial yield," European Journal of Operational Research, Elsevier, vol. 244(2), pages 490-497.
    • Handle: RePEc:eee:ejores:v:244:y:2015:i:2:p:490-497
    DOI: 10.1016/j.ejor.2015.01.052
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    Cited by:

    1. Zhang, Bin & Duan, Dongxia & Ma, Yurui, 2018. "Multi-product expedited ordering with demand forecast updates," International Journal of Production Economics, Elsevier, vol. 206(C), pages 196-208.
    2. Talay, Işılay & Özdemir-Akyıldırım, Öznur, 2019. "Optimal procurement and production planning for multi-product multi-stage production under yield uncertainty," European Journal of Operational Research, Elsevier, vol. 275(2), pages 536-551.
    3. Jakšič, M. & Fransoo, J.C., 2018. "Dual sourcing in the age of near-shoring: Trading off stochastic capacity limitations and long lead times," European Journal of Operational Research, Elsevier, vol. 267(1), pages 150-161.
    4. 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.
    5. Kyungchul Park & Kyungsik Lee, 2016. "Distribution-robust single-period inventory control problem with multiple unreliable suppliers," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 949-966, October.
    6. Lan, Yongquan & Li, Yanzhi & Papier, Felix, 2018. "Competition and coordination in a three-tier supply chain with differentiated channels," European Journal of Operational Research, Elsevier, vol. 269(3), pages 870-882.
    7. Arbabian, Mohammad E. & Wagner, Michael R., 2020. "The impact of 3D printing on manufacturer–retailer supply chains," European Journal of Operational Research, Elsevier, vol. 285(2), pages 538-552.
    8. Hekimoğlu, Mustafa & Scheller-Wolf, Alan, 2023. "Dual sourcing models with stock-out dependent substitution," European Journal of Operational Research, Elsevier, vol. 311(2), pages 472-485.
    9. Basu, Preetam & Avittathur, Balram, 2018. "Pricing and sourcing strategies for competing retailers in supply chains under disruption riskAuthor-Name: Kumar, Milan," European Journal of Operational Research, Elsevier, vol. 265(2), pages 533-543.
    10. Huang, He & Xu, Hongyan, 2015. "Dual sourcing and backup production: Coexistence versus exclusivity," Omega, Elsevier, vol. 57(PA), pages 22-33.
    11. Yixin Zhang & Xifu Wang, 2019. "Procurement Strategy with Backup Sourcing under Stochastic Supply Risk," Complexity, Hindawi, vol. 2019, pages 1-15, March.

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