• 제목/요약/키워드: Set Packing Problem

검색결과 25건 처리시간 0.019초

이산적 시뮬레이션 모델을 이용한 커피 생산 스케줄

  • 박영홍
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2000년도 추계학술대회 논문집
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    • pp.28-33
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    • 2000
  • This article describes the application of discrete event simulation in a process industry (coffee manufacturing) as a daily production-scheduling tool. A large number of end products (around 300), sporadic demand, and limited shelf life of coffee (90 days) make it difficult to generate feasible production schedules manually. To solve this problem an integrated system was developed incorporating discrete event simulation methodology into scheduling process. The integrated system is comprised of two components: a scheduling program and a simulation model. The scheduling program is used to generate daily schedules for roasting, grinding, and packing coffee. The simulation model uses the generated schedules to simulate the production of coffee and regenerates a modified production schedule. In this paper, each of the components will be described in detail, evaluated in terms of performance factors, and validated with a set of real production data. Although this article focuses on a specific system, we will share our experiences and intuitions gained and encourage other process industries to develop simulation-based scheduling tools.

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A GA-based Heuristic for the Interrelated Container Selection Loading Problems

  • Techanitisawad, Anulark;Tangwiwatwong, Paisitt
    • Industrial Engineering and Management Systems
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    • 제3권1호
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    • pp.22-37
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    • 2004
  • An integrated heuristic approach based on genetic algorithms (GAs) is proposed for solving the container selection and loading problems. The GA for container selection solves a two-dimensional knapsack problem, determining a set of containers to minimize the transportation or shipment cost. The GA for container loading solves for the weighted coefficients in the evaluation functions that are applied in selecting loading positions and boxes to be loaded, so that the volume utilization is maximized. Several loading constraints such as box orientation, stack priority, stack stability, and container stability are also incorporated into the algorithm. In general, our computational results based on randomly generated data and problems from the literature suggest that the proposed heuristic provides a good solution in a reasonable amount of computational time.

3-분할 문제의 상자 채우기-교환 알고리즘 (Bin Packing-Exchange Algorithm for 3-Partition Problem)

  • 이상운
    • 한국인터넷방송통신학회논문지
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    • 제22권4호
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    • pp.95-102
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    • 2022
  • 본 논문은 NP-완전으로 다항시간 알고리즘이 알려져 있지 않은 3-분할 문제(TPP)에 대한 선형시간 알고리즘을 제안하였다. 본 논문은 기존에 알려진 다항시간 알고리즘인 최대-최소치와 제3의 숫자 합을 이용하는 MM법이 갖고 있는 해를 구하지 못하는 문제점을 개선한 역추적 법을 제안하였으며, 또한 역추적 법을 적용한 MM의 문제점도 개선하였다. 제안된 알고리즘은 내림차순 정렬된 S 집합을 3-분할하여 순방향, 역방향과 최대 여유량 순서인 최적합 배정 법으로 배정한 결과 10개 데이터 중 5개 데이터인 50.00%에 대해서는 최적 해를 찾을 수 있었다. 나머지 5개 데이터에 대해서도 최소 1회, 최대 7회의 잉여 상자와 부족 상자 간 숫자 교환으로 최적 해를 찾을 수 있는 성능을 보였다. 제안된 알고리즘은 n개 데이터를 3-분할한 m=n/3 보다도 적은 O(k)의 선형시간 수행 복잡도로 단순 배정과 교환 최적화를 수행하는 알고리즘으로 TPP가 NP-완전이 아닌 P-문제인 다항시간 알고리즘이 존재할 수 있음을 보였다.

해양 석유 생산 및 수송 최적화 문제에 관한 연구 (A Study on the Optimization Problem for Offshore Oil Production and Transportation)

  • 김창수;김시화
    • 한국항해항만학회지
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    • 제39권4호
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    • pp.353-360
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    • 2015
  • 해양 석유 생산은 '해양'이라는 특성에 기인하는 여러 가지 변수를 동반하면서 막대한 비용과 시간을 필요로 한다. 모든 관련된 프로세스는 인명, 환경 그리고 재산의 손실을 줄이기 위한 치밀한 일련의 계획에 의하여 통제된다. 이 논문은 해양 석유 생산 및 수송의 최적화 문제를 다룬다. 문제 영역의 범위를 정의하기 위해 해양 석유 생산 및 수송 네트워크를 제시하고 그 문제를 해결하기 위한 혼합정수계획모형을 구축하였다. 제안된 최적화 모형의 타당성을 확인하기 위해 가상의 해양 유전과 수요 시장을 바탕으로 MS Office Excel의 해찾기를 이용하여 계산실험들을 수행하였다. 해양 석유 생산 및 수송 네트워크 하위 흐름은 해양 유전에서 생산된 원유를 수요 시장으로 배분하는 해사수송문제가 된다. 이 해사수송문제를 해결하기 위해 집합 패킹 모형을 이용하여 구축된 MoDiSS(Model-based DSS in Ship Scheduling)를 사용하였다. 이러한 연구결과들은 실제적인 해양 석유 생산 및 수송 최적화 문제에 의미 있게 적용될 수 있으리라 사료된다.

농업인의 교육요구를 고려한 농촌지도사업의 발전 방향 (A Development of the Strategies for the Agricultural Extension Service through the Farmers' Educational Needs Assessment)

  • 신윤호;김대희
    • 농촌지도와개발
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    • 제19권1호
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    • pp.1-28
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    • 2012
  • The Extension Program accountability will continue to be an influential force to develop agriculture and rural area. As we incorporate new approaches into our service program and respond to new domains of knowledge, we must also consider how our assessment strategies may need to change in order to meet local and other external standards. The main purpose of the study was to be what the best way of Extension Service is set farmers' educational needs met and to be what kind of methodologies and role of Extension system should provide for their faced problem solving effectively. The major results of the study on Farmers' needs toward Korean Extension Services are summarized as follows. First, it is observed that, when the farmers' perceptions were analyzed, the most ranked by the farmers' needs was "having nice extension workers to get advice and solve their problems on the farm in all at once." Farmers had especially more positive attitudes in the categories of interest and careers in ag-technology. To do services level up, the headquarter of Rural Development of Administration must be work with local branches to effectively deliver their missions and educational objectives to target crops and farmers group. And farmers were strongly needed "a specialized service team will be organized" to work closely with operating services for ag-products processing, packing and marketing. The recommendations were made by: farmers' needs should be identified and announced by computer networking development to solve their problems faster. Also, provincial and county level service members should have a chance to working at research institute or related work places with their incentives, which system will be easer to meet farmers' needs and deal with their problems so that the systematic approaches should be managed and recorded their educational attendings, education contents and even their farming corporations. Finally, Agricultural Extension Service should be met to general ag-technology literacy and be balanced with knowledge of other industries and be competitive service with better values in non-agricultural sectors.