延迟支付条件下易逝品的最优订货决策研究

doi:10.16381/j.cnki.issn1003-207x.2021.02.012

Abstract

Abstract: The optimal ordering policy of perishable products in a two-level supply chain with a single-supplier and capital-constrained multi-retailers is investigated, in which the supplier allows the delayed payment. It is considered there is no shortage allowed, and the price changes with the customer's willingness to buy the perishable product. Through the numerical test using genetic algorithm (GA), the optimal ordering policy is found out. The results show that the delayed payment helps to improve the whole supply chain efficiency, which would increase the profits for each supply chain member while lowering the risk, and the supplier benefits more from the delayed payment. Finally, the sensitivity analysis is conducted to discuss the effect of different parameters on the total profits, which provides management insight forordering decisions.

Key words: delay in payment, perishable products, ordering policy, Genetic Algorithm

CLC Number:

C931
F830.9

XU Xian-hao, WANG Qian, ZENG Kuan, PENG Hong-xia. Study on the Optimal Ordering Policy of Perishable Products with Delayed Payment[J]. Chinese Journal of Management Science, 2021, 29(2): 108-116.

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Study on the Optimal Ordering Policy of Perishable Products with Delayed Payment

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