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2024 | OriginalPaper | Buchkapitel

Two-Warehouse Inventory Strategy of Deteriorating Items Based on Improved EOQ Model

verfasst von : Yixi Yin, Peng Wu, Xiaodong Tan, Jian Shen, Qiushi He

Erschienen in: Proceedings of Industrial Engineering and Management

Verlag: Springer Nature Singapore

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Abstract

With the continuous increase of per-capita income, people's demand for deteriorating items such as seafood and fruits is increasing with higher requirement for freshness, and their perishable and short sales cycle make retailers operating perishable products face new challenges in the market competition. This paper focuses on the perspective of retailers, supposing that the limited capacity of the retailer's own warehouse and allow shortage and partial backlogging, considering whether the supplier offers a price discount. On the purpose to minimize the cost of the retailer, this paper builds two-warehouse improved EOQ model based on traditional EOQ model, and obtained the optimal inventory strategies of the retailer under different models. Then, verify the effectiveness of the model by numerical analysis and sensitivity analysis, and compare the influence of considering price discounts or not on the two-warehouse inventory model of two types of deteriorating items to determine the optimal inventory decision minimizing unit cost for retailers.

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Literatur
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Zurück zum Zitat Ali AS, Subhash CD, Asoke KB et al (2019) A two-warehouse EOQ model with interval-valued inventory cost and advance payment for deteriorating item under particle swarm optimization. Soft Comput 24:13531–13546 Ali AS, Subhash CD, Asoke KB et al (2019) A two-warehouse EOQ model with interval-valued inventory cost and advance payment for deteriorating item under particle swarm optimization. Soft Comput 24:13531–13546
Metadaten
Titel
Two-Warehouse Inventory Strategy of Deteriorating Items Based on Improved EOQ Model
verfasst von
Yixi Yin
Peng Wu
Xiaodong Tan
Jian Shen
Qiushi He
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0194-0_76

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