인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In order to respond to the recent increasing e-commerce demand more quickly and accurately, many logistics companies operate fulfillment centers which pick the goods for customers’ orders from shelves and deliver the boxes with the goods directly to customers. In this paper, we deal with the order selection problem for a unique zone-picking system in a fulfillment center which prioritizes the orders to allocate to the system in real time. Unlike other order selection problems that assume the picking rates of workers are constant and known, our problem considers that the actual picking rates can vary from person to person and change over time. We propose a new order selection method and compare it to three different existing methods by using a simulation model that mimics a real fulfillment center. The methods are tested under a stationary state in that the workers’ work speeds are fixed and also under two different non-stationary states in that the workers’ work speeds change over time. The proposed order selection method provides lower makespans, lower flow times, and higher throughputs not only in the stationary state but also in the non-stationary states when compared to those of other existing methods.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092098380