Integrated Pricing and Inventory Control for Perishable Products, Taking into Account the Lack of Backlog and Inventory Management Policy by the Seller

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2022-12-01 DOI:10.2478/fcds-2022-0020
Muktadi Amri Assiddiqi, S. Anantadjaya, Israr Ahmad, Kien Le, A. H. Iswanto, N. D. Trung, A. Q. A. S. Al-Sudani, D. Huy, Dhameer A. Mutlak
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引用次数: 1

Abstract

Abstract Recently, utilizing appropriate inventory control policy and determining the optimal selling price for various goods has been the main topic of scientific and industrial research. Inventory management policy 1 by the seller is one solution that improves the chain’s performance by creating coordination between members of the supply chain. The current study attempts to devise an integrated model of inventory pricing and control under the inventory management policy by the seller for perishable goods with shortages is considered. The purpose of presenting the model is to determine the optimal price, the optimal repayment time, and the order size, in order to maximize the profit. To acquire those optimal values, the profit functions of the buyer and the seller are taken into account. Given the results acquired, it is demonstrated that at any cost, the repayment time is unique and optimal. It is concluded that with the optimal recovery time available, the objective function is a concave function of price, and its optimal value is available. Furthermore, utilizing the inventory management policy by the seller could be a proper means to reducing retailer costs while raising their profit.
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考虑到卖方缺乏积压和库存管理政策的易腐产品的综合定价和库存控制
摘要近年来,利用适当的库存控制政策并确定各种商品的最佳销售价格已成为科学和工业研究的主要课题。卖方的库存管理策略1是一种通过在供应链成员之间建立协调来提高供应链性能的解决方案。本研究试图设计一个集成的库存定价模型,并考虑卖方在库存管理政策下对短缺易腐货物的库存定价和控制。提出该模型的目的是确定最佳价格、最佳还款时间和订单规模,以实现利润最大化。为了获得这些最优值,考虑了买方和卖方的利润函数。鉴于所获得的结果,证明了在任何代价下,还款时间都是唯一和最优的。得出结论:在最优回收时间可用的情况下,目标函数是价格的凹函数,其最优值是可用的。此外,卖家利用库存管理策略可以在提高利润的同时降低零售商成本。
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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