수요 대응형 Forward-Reserve 저장 시스템의 재고 보충계획 최적화
Optimization of demand-responsive Forward-Reserve inventory replenishment plan
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초록
전자상거래 시장 경쟁이 치열해짐에 따라, 대응적인 수요 보충 계획은 매우 중요한 요소가 되었다. 따라서 물류센터에서의 최적 재고 보충 시스템을 설계하여 재고 흐름을 관리하는 것이 필수적으로 고려되고 있다. 본 논문에서는 전후방 공간 저장 방식에서 자동화된 재고 보충 모델을 구축하는 것을 목적으로 한다. 일정 기간에 대한 수요 예측이 있다는 가정 하에 물류센터의 다양한 제약 상황과 운영 목적을 고려하여 재고 수준을 관리하는 모델을 혼합 정수 계획 모형을 통해 구축한다. 해당 모델을 다양한 시나리오에 적용해 결과를 확인하여 사용성을 검증하고 의미 있는 시사점을 찾는다. 본 연구에서 제안하는 모델은 전후방 공간 저장 방식을 가지는 물류센터들이 재고 보충 계획을 수립하는 데에 도움을 줄 것으로 기대된다.
Abstract
A more efficient and responsive demand fulfillment is surely one of the critical success factors as the competition in the e-commerce market has intensified. Thus, it is fundamental to implement the optimized inventory replenishment framework in managing the material flows in a fulfillment center. In this study, we consider the problem of controlling inventory optimally flows in a Forward-Reserve storage system. We develop the inventory replenishment problem by formulating the MILP models to control the inventory management plan under the assumption that there is a demand forecast for the fixed coming periods. Using the developed optimization models, we perform extensive numerical studies to verify the possible applications of the developed optimization model and find out the meaningful insights. The suggested model in this work is expected to help control the inventory flows in a Forward-Reserve storage system.
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