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주철민,김병수 대한산업공학회 2012 Industrial Engineeering & Management Systems Vol.11 No.1
This paper considers a non-identical parallel machine scheduling problem with sequence and machine dependent setup times. The objective of this problem is to determine the allocation of jobs and the scheduling of each machine to minimize makespan. A mathematical model for optimal solution is derived. An in-depth analysis of the model shows that it is very complicated and difficult to obtain optimal solutions as the problem size becomes large. Therefore, two meta-heuristics, genetic algorithm (GA) and a new population-based evolutionary meta-heuristic called self-evolution algorithm (SEA), are proposed. The performances of the meta-heuristic algorithms are evaluated through compare with optimal solutions using randomly generated several examples.
주철민,이강배,이운식,구평회 한국경영공학회 2006 한국경영공학회지 Vol.11 No.3
This study considers a transporter scheduling problem in shipbuilding and assumes a static transportation environment in which all requirements of blocks are predetermined at the beginning of a planning horizon. The transportation of the blocks in the shipyard has some distinct characteristics. The blocks are available to be picked up at a specific time during the planning horizon and need to be delivered before a specific time. These requirements cause two penalty times: 1) delay times incurred when a block is picked up after the required start time, and 2) tardy times incurred when a block shipment is completed after the required delivery time. Moreover, the blocks are located at different areas in the shipyard. Therefore, in the transporter scheduling problem, the important issue is to determine which transporter ships which block to minimize total logistics time (empty vehicle travel time plus two penalty times). The objective of this study is to determine the allocation policy of blocks and the scheduling policy of transporters so as to minimize the weighted sum of empty transporter travel times, delay times, and tardy times. In this study, a two-phase procedure is proposed, in which the minimum number of used transporters based on the optimization model is determined in the phase 1, and the allocation policy of blocks and the scheduling policy of transporters are simultaneously determined in the phase 2. Also, the performance of the heuristic algorithm proposed in the phase 2 is examined through computational experiments to evaluate the algorithm.
크로스도킹 터미널의 입고 및 출고 트럭 일정계획을 위한 유연 유전알고리즘
주철민 한국경영공학회 2010 한국경영공학회지 Vol.15 No.3
This paper considers a scheduling problem of inbound and outbound trucks in cross docking terminals. Cross docking is a logistics management concept in which items delivered to a terminal by inbound trucks are immediately sorted out, routed and loaded into outbound trucks for delivery to customers. A mathematical model for optimal solution is derived and a meta heuristic called flexible genetic algorithm is suggested in this paper to schedule the trucks in cross docking terminal such that minimize total operation time. The performance of the meta heuristic algorithm is evaluated through compare with optimal solutions using randomly generated several examples.
조선소 트랜스포터 일정계획을 위한 수정 개미군집 시스템
주철민 한국경영공학회 2009 한국경영공학회지 Vol.14 No.2
This paper considers a scheduling problem for transporters that pickup and delivery blocks in shipbuilding yards. In this problem, the important issue is to determine the allocation policy of blocks and the scheduling policy of transporters that minimize total logistics time represented by the weighted sum of empty transporter travel times, delay times, and tardy times. Under a static environment, a mathematical model for optimal solution is derived and a meta heuristic algorithm based on the modified ant colony system is proposed. Computational experiments are implemented to evaluate a performance of the algorithm.
섬유산업의 재고관리를 위한 정보시스템 구축에 관한 사례연구
주철민,조증성,남호수,Joo, Cheol-Min,Cho, Jeung-Sung,Nam, Ho-Soo 한국데이터정보과학회 1999 한국데이터정보과학회지 Vol.10 No.1
In this paper, a case study is introduced on the development of an inventory management system for the textile industry. For the low-cost and high-efficient production, a systematic management is needed from make-to-order to delivery. In this paper, an integrated inventory management system for the D company is developed to manage the whole information related with make-to-order, production, delivery, and inventory, and so forth. 본 연구에서는 섬유산업의 재고관리를 위한 정보시스템 구축사례를 소개한다. D 섬유회사를 대상으로 수주, 생산, 납품 및 재고등과 관련된 전 정보를 체계적으로 관리하여, 수주 및 생산 계획을 위한 가공능력분석 또는 납기를 지킬 수 있도록 하는 생산일정 계획 등의 의사결정이 합리적으로 될 수 있도록 하는 통합 재고정보 관리시스템을 구축한다.
사출공장의 생산관리를 위한 정보시스템 구축에 관한 연구
주철민,이병근,정현석,Joo, Cheol-Min,Lee, Byung-Gun,Jung, Hyun-Seok 한국데이터정보과학회 1999 한국데이터정보과학회지 Vol.10 No.1
본 연구에서는 사출공장의 생산관리를 위한 정보시스템 구축사례를 소개한다. 제품의 효율적인 생산을 위해서는 영업과 수주에서부터 원청업체에 납품할 때까지의 전 생산과정과 관련된 정보를 체계적으로 관리하는 것이 필요하다. 이에 본 연구에서는 사출공장을 대상으로 수주, 생산, 납품, 재고 등과 관련된 전 정보를 체계적으로 관리하여, 생산 계획 및 현황의 관리와 이에 연계된 영업, 구매, 총무, 납품 등의 관리가 원활하고 효율적으로 이루어질 수 있도록 하는 통합 생산정보시스템을 구축한다. In this paper, a case study is introduced on the development of an information system for production management in the injection molding factory. For the systematic management of the information derived from the whole production process, an integrated and computerized information system is needed. In this paper, an integrated information system of production management for the W company is developed to manage the whole information related with make-to-order, production, delivery, and inventory, and so forth.
주철민 한국경영공학회 2007 한국경영공학회지 Vol.12 No.3
This paper considers a scheduling problem for multi process items in FMS(Flexible Manufacturing System). Because the algorithms for production scheduling are generally developed with special objective under the special restrictions, it is very hard to apply to FMS. In FMS, there are various flexible machines could operate various process with priority, and the operating time and setup time for a process of items are different according to the order and/or operating machine. Therefore, the scheduling is very complex and essential element for the performance of the FMS. The objectives of the scheduling problem are to minimize the tardy time, total processing time, and ranking of the priority. For the scheduling problem, a mathematical model for optimal solution is derived and an efficient hybrid genetic algorithm is proposed. The hybrid genetic algorithm consists of two phase. The first phase is to find a initial feasible solution using a heuristic algorithm, and the second phase is the genetic algorithm with the initial population consists of feasible solutions based on the intial solution of the first phase. The performance of the hybrid genetic algorithm is evaluated through computational experiments.