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논문 기본 정보

자료유형
학술저널
저자정보
Keisuke Nagasawa (Sophia University) Takashi Irohara (Sophia University) Yosuke Matoba (Fairway Solutions) Shuling Liu (Fairway Solutions)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제14권 제1호
발행연도
2015.3
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1 - 10 (10page)

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초록· 키워드

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In this paper, we consider multi-item inventory management. When managing a multi-item inventory, we coordinate replenishment orders of items supplied by the same supplier. The associated problem is called the joint replenishment problem (JRP). One often-used approach to the JRP is to apply a can-order policy. Under a can-order policy, some items are re-ordered when their inventory level drops to or below their re-order level, and any other item with an inventory level at or below its can-order level can be included in this order. In the present paper, we propose a method for finding the optimal parameter of a can-order policy, the can-order level, for each item in a lost-sales model. The main objectives in our model are minimizing the number of ordering, inventory, and shortage (i.e., lost-sales) respectively, compared with the conventional JRP, in which the objective is to minimize total cost. In order to solve this multi-objective optimization problem, we apply a genetic algorithm. In a numerical experiment using actual shipment data, we simulate the proposed model and compare the results with those of other methods.

목차

ABSTRACT
1. INTRODUCTION
2. PROBLEM FORMULATION
3. IMPLEMENTATION OF GENETIC ALGORITHM (GA)
4. EXPERIMENT AND RESULTS
5. CONCLUSIONS
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