• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.522-525
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• 2000

본 연구에서는 고객의 재고 수준을 고려하면서 동시에 연간 수송비용을 최소로 하는 차량 경로결정문제 IRP(Inventory Routing Problem)에 새로운 위성창고 (Satellite facility)개념을 도입한 수리모델과 알고리즘을 개발하였다. 위성창고는 수송 가능 용량을 초과하는 수요가 발생했을 때 수송 도중에 물량을 보충하여 재고 보충 일정 시간 내에 운반을 할 수 있도록 하는 장치이며 여기서는 용량의 한계를 고려한 위성창고 개념을 도입하였다. 또한 재고 보충 일정 관리 문제와 차량 경로 결정 문제를 분리하여 순차적으로 발견적 기법을 이용하는 기존의 방법을 통합 최적화 알고리즘으로 구현하였다.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.67-78
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• 2021

The number of domestic e-commerce transactions has been breaking its own record by an annual average growth rate of over 20% based on volume for the past 5 years. Due to the rapid increase in e-commerce market, retail companies that have difficulty meeting consumers in person are in fierce competition to take the lead in the last mile service, which is the only point of contact with customers. Especially in the delivery area, where competition is most intense, the role of the fulfillment center is very important for service differentiation. It must be capable of fast product preparation ordered by consumers in accordance with the delivery service level. This study focuses on the order picking system for rapid order processing in the fulfillment center as an alternative for companies to gain competitive advantage in the e-commerce market. A mixed integer programming model was developed and implemented to optimize the stock replenishment in order picking facilities. The effectiveness was scientifically and objectively verified by simulation using the actual operation process and data.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.165-176
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• 2011

In this paper, we develop the cost minimization model to select two incentives and total order quantity with consideration of remanufacture company's return incentive. Return rate is sensitive to the incentive that the manufacture company offers. Using a EOQ(Economic Order Quantity) model of a cost minimization, we show concavities of the model about two incentives and total order quantity respectively. According to the proposed algorithm using the concavities, we find out the optimized incentive prices and total order quantity. Through numerical study, we examine sensitive analysis of the incentive price and order quantity for each parameter when the return rate is sensitive to incentive. Company lessens incentive to reduce total price. However, this makes the total price increase due to a diminution of return quantity. We expect that domestic or overseas remanufacture businesses are able to decide optimal incentive and total order quantity by this research.