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Inventory lot-sizing with supplier selection under non-stationary stochastic demand

Author

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  • Arun Kr. Purohit
  • Devendra Choudhary
  • Ravi Shankar

Abstract

Inventory lot-sizing and supplier selection problem has been studied in the literature considering mainly time-varying deterministic demand. However, in real life, most of the products exhibit non-stationary stochastic demand. In this context, we propose an integer linear programming model for inventory lot-sizing and supplier selection problem under non-stationary stochastic demand with all-units quantity discounts and fill rate constraints. Through detailed analysis of experimental results, we show the impacts of fill rate requirements and demand coefficient of variation on costs, inventory levels and order allocations.

Suggested Citation

  • Arun Kr. Purohit & Devendra Choudhary & Ravi Shankar, 2016. "Inventory lot-sizing with supplier selection under non-stationary stochastic demand," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2459-2469, April.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:8:p:2459-2469
    DOI: 10.1080/00207543.2015.1102354
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    Cited by:

    1. Ventura, José A. & Bunn, Kevin A. & Venegas, Bárbara B. & Duan, Lisha, 2021. "A coordination mechanism for supplier selection and order quantity allocation with price-sensitive demand and finite production rates," International Journal of Production Economics, Elsevier, vol. 233(C).
    2. José A. Ventura & Boaz Golany & Abraham Mendoza & Chenxi Li, 2022. "A multi-product dynamic supply chain inventory model with supplier selection, joint replenishment, and transportation cost," Annals of Operations Research, Springer, vol. 316(2), pages 729-762, September.
    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. Harpreet Kaur & Surya Prakash Singh, 2019. "Flexible dynamic sustainable procurement model," Annals of Operations Research, Springer, vol. 273(1), pages 651-691, February.
    5. Amin Mahmoudi & Saad Ahmed Javed, 2022. "Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach," Group Decision and Negotiation, Springer, vol. 31(5), pages 1051-1096, October.
    6. Imane Tronnebati & Manal El Yadari & Fouad Jawab, 2022. "A Review of Green Supplier Evaluation and Selection Issues Using MCDM, MP and AI Models," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    7. Zhou, Fang & Chen, Ting-Yu, 2023. "A hybrid group decision-making approach involving Pythagorean fuzzy uncertainty for green supplier selection," International Journal of Production Economics, Elsevier, vol. 261(C).
    8. Duan, Lisha & Ventura, José A., 2019. "A Dynamic Supplier Selection and Inventory Management Model for a Serial Supply Chain with a Novel Supplier Price Break Scheme and Flexible Time Periods," European Journal of Operational Research, Elsevier, vol. 272(3), pages 979-998.

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