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학술논문한국경영과학회지2021.02 발행

An EOQ Approach to Purchase-Dependent DemandsWhen Unmet Orders Are Canceled

An EOQ Approach to Purchase-Dependent DemandsWhen Unmet Orders Are Canceled

박창규(울산대학교); 성민지(고려대학교 글로벌 비즈니스대학)

46권 1호, 35~48쪽

초록

We investigate the inventory models for purchase-dependent demands in the case in which customer orders are canceled if all items in the order are not delivered all at once. The exact objective function of an inventory model is quite difficult to derive when purchase dependence exists. Determining the optimal order quantity and reorder point is also a challenging task. Thus, we first analyze the properties of optimal solutions using an EOQ model to derive the condition of optimal solution. Then, we extend the condition to continuous review models. Through computer simulations, we demonstrate the usefulness of this study’s approach. In general, the inventory model, which considers the purchase dependence, reduces the loss of sales by holding more inventories through more frequent orders, thus eventually minimizing the total cost.

Abstract

We investigate the inventory models for purchase-dependent demands in the case in which customer orders are canceled if all items in the order are not delivered all at once. The exact objective function of an inventory model is quite difficult to derive when purchase dependence exists. Determining the optimal order quantity and reorder point is also a challenging task. Thus, we first analyze the properties of optimal solutions using an EOQ model to derive the condition of optimal solution. Then, we extend the condition to continuous review models. Through computer simulations, we demonstrate the usefulness of this study’s approach. In general, the inventory model, which considers the purchase dependence, reduces the loss of sales by holding more inventories through more frequent orders, thus eventually minimizing the total cost.

발행기관:
한국경영과학회
분류:
경영학

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An EOQ Approach to Purchase-Dependent DemandsWhen Unmet Orders Are Canceled | 한국경영과학회지 2021 | AskLaw | 애스크로 AI