• 제목/요약/키워드: sequence branch algorithm

검색결과 34건 처리시간 0.017초

작업 완료시간의 2차벌과금함수를 최소화하는 알고리즘에 관한 연구 (Optimal Scheduling Algorithm for Minimizing the Quadratic Penalty Function of Completion Times)

  • 노인규;이정환
    • 산업경영시스템학회지
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    • 제13권22호
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    • pp.35-42
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    • 1990
  • This paper deals with a single machine scheduling problem with a quadratic penalty function of completion times. The objective is to find a optimal sequence which minimizes the total penalty. A new type of node elimination procedure and precedence relation is developed that determines the ordering between adjacent jobs and is incorporated into a branch and bound algorithm. In addition, modified penalty function is considered and numerical examples are provided to test the effectiveness of the optimum algorithm.

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CMOS 회로의 테스트 생성 알고리즘 (A Test Generation Algorithm for CMOS Circuits)

  • 조상복;임인칠
    • 대한전자공학회논문지
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    • 제21권6호
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    • pp.78-84
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    • 1984
  • CMOS 논리회로에서 부가회로없이 time skew와 무관하게 stuck-open(이하 s-op) 고장을 검출할 수 있는 새로운 알고리즘을 제안한다. 즉, CMOS회로 구성요소로서 Domino CMOS 이 회로를 채택하여 회로의 클럭킹 게이트를 하나의 branch로 간주 모델화하고, transition test를 이용하여 테스트 시이퀸스를 구한다. 또한 이 알고리즘을 VAXII/780상에서 임의의 CMOS회로에 적용시켜 보므로써, 종래의 방법에서 time skew로 인하여 검출될 수 없었던 모든 s-op 고장이 검출됨을 보였다.

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Scheduling for a Two-Machine, M-Parallel Flow Shop to Minimize Makesan

  • Lee, Dong Hoon;Lee, Byung Gun;Joo, Cheol Min;Lee, Woon Sik
    • 산업경영시스템학회지
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    • 제23권56호
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    • pp.9-18
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    • 2000
  • This paper considers the problem of two-machine, M-parallel flow shop scheduling to minimize makespan, and proposes a series of heuristic algorithms and a branch and bound algorithm. Two processing times of each job at two machines on each line are identical on any line. Since each flow-shop line consists of two machines, Johnson's sequence is optimal for each flow-shop line. Heuristic algorithms are developed in this paper by combining a "list scheduling" method and a "local search with global evaluation" method. Numerical experiments show that the proposed heuristics can efficiently give optimal or near-optimal schedules with high accuracy. with high accuracy.

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섬유 배열각의 이산성과 물성치의 불확실성을 고려한 복합재료 적층 평판의 최적 설계 (Optimal Design of Composite Laminated Plates with the Discreteness in Ply Angles and Uncertainty in Material Properties Considered)

  • 김태욱;신효철
    • 대한기계학회논문집A
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    • 제25권3호
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    • pp.369-380
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    • 2001
  • Although extensive efforts have been devoted to the optimal design of composite laminated plates in recent years, some practical issues still need further research. Two of them are: the handling of the ply angle as either continuous or discrete; and that of the uncertainties in material properties, which were treated as continuous and ignored respectively in most researches in the past. In this paper, an algorithm for stacking sequence optimization which deals with discrete ply angles and that for thickness optimization which considers uncertainties in material properties are used for a two step optimization of composite laminated plates. In the stacking sequence optimization, the branch and bound method is modified to handle discrete variables; and in the thickness optimization, the convex modeling is used in calculating the failure criterion, given as constraint, to consider the uncertain material properties. Numerical results show that the optimal stacking sequence is found with fewer evaluations of objective function than expected with the size of feasible region taken into consideration; and the optimal thickness increases when the uncertainties of elastic moduli considered, which shows such uncertainties should not be ignored for safe and reliable designs.

준비시간이 있는 혼합모델 조립라인의 제품투입순서 결정 : Tabu Search 기법 적용 (Sequencing in Mixed Model Assembly Lines with Setup Time : A Tabu Search Approach)

  • 김여근;현철주
    • 경영과학
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    • 제13권1호
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    • pp.13-27
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    • 1996
  • This paper considers the sequencing problem in mixed model assembly lines with hybrid workstation types and sequence-dependent setup times. Computation time is often a critical factor in choosing a method of determining the sequence. We develop a mathematical formulation of the problem to minimize the overall length of a line, and present a tabu search technique which can provide a near optimal solution in real time. The proposed technique is compared with a genetic algorithm and a branch-and-bound method. Experimental results are reported to demonstrate the efficiency of the technique.

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포병부대 사격순서결정을 위한 분지한계 알고리즘 연구 (A Branch-and-Bound Algorithm on the Fire Sequencing for Planned Artillery Operations)

  • 윤상흠;황원식;전재호;이익선
    • 산업경영시스템학회지
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    • 제33권3호
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    • pp.154-161
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    • 2010
  • This paper considers the simultaneously firing model for the artillery operations. The objective of this paper is to find the optimal fire sequence minimizing the final completion time of the firing missions of multiple artillery units for multiple targets. In the problem analysis, we derive several solution properties to reduce the solution space. Moreover, two lower bounds of objective are derived and tested along with the derived properties within a branch-and-bound scheme. Two efficient heuristic algorithms are also developed. The overall performances of the proposed branch-and-bound and heuristic algorithms are evaluated through various numerical experiments.

최소 종료시간 사격 스케줄을 위한 분지계획법 알고리즘 연구 (A Branch-and-Bound Algorithm to Minimize the Makespan in a Fire Scheduling Problem)

  • 차영호;방준영
    • 산업경영시스템학회지
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    • 제38권4호
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    • pp.132-141
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    • 2015
  • We focus on the fire scheduling problem (FSP), the problem of determining the sequence of targets to be fired at, for the objective of minimizing makespan to achieve tactical goals. In this paper, we assume that there are m available weapons to fire at n targets (> m) and the weapons are already allocated to targets. One weapon or multiple weapons can fire at one target and these fire operations should start simultaneously while the finish time of them may be different. We develop several dominance properties and a lower bound for the problem, and suggest a branch and bound algorithm implementing them. Also, In addition, heuristic algorithms that can be used for obtaining an initial upper bound in the B&B algorithm and for obtaining good solutions in a short time were developed. Computational experiments are performed on randomly generated test problems and results show that the suggested algorithm solves problems of a medium size in a reasonable amount of computation time. The proposed lower bound, the dominance properties, and the heuristics for upper bound are tested in B&B respectively, and the result showed that lower bound is effective to fathoming nodes and the dominance properties and heuristics also worked well. Also, it is showed that the CPU time required by this algorithm increases rapidly as the problem size increases. Therefore, the suggested B&B algorithm would be limited to solve large size problems. However, the employed heuristic algorithms can be effectively used in the B&B algorithm and can give good solutions for large problems within a few seconds.

작업 종속 및 위치기반 선형학습효과를 갖는 2-에이전트 단일기계 스케줄링 (Two-Agent Single-Machine Scheduling with Linear Job-Dependent Position-Based Learning Effects)

  • 최진영
    • 산업경영시스템학회지
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    • 제38권3호
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    • pp.169-180
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    • 2015
  • Recently, scheduling problems with position-dependent processing times have received considerable attention in the literature, where the processing times of jobs are dependent on the processing sequences. However, they did not consider cases in which each processed job has different learning or aging ratios. This means that the actual processing time for a job can be determined not only by the processing sequence, but also by the learning/aging ratio, which can reflect the degree of processing difficulties in subsequent jobs. Motivated by these remarks, in this paper, we consider a two-agent single-machine scheduling problem with linear job-dependent position-based learning effects, where two agents compete to use a common single machine and each job has a different learning ratio. Specifically, we take into account two different objective functions for two agents: one agent minimizes the total weighted completion time, and the other restricts the makespan to less than an upper bound. After formally defining the problem by developing a mixed integer non-linear programming formulation, we devise a branch-and-bound (B&B) algorithm to give optimal solutions by developing four dominance properties based on a pairwise interchange comparison and four properties regarding the feasibility of a considered sequence. We suggest a lower bound to speed up the search procedure in the B&B algorithm by fathoming any non-prominent nodes. As this problem is at least NP-hard, we suggest efficient genetic algorithms using different methods to generate the initial population and two crossover operations. Computational results show that the proposed algorithms are efficient to obtain near-optimal solutions.

정수계획법에 의한 다수 표면실장기의 라인 최적화 (Integer Programming Approach to Line Optimization of Multiple Surface Mounters)

  • 김경민;박태형
    • 한국콘텐츠학회논문지
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    • 제6권4호
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    • pp.46-54
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    • 2006
  • 다수 대의 표면실장기를 포함한 PCB조립라인의 생산성 향상을 위한 방법을 제시한다. PCB조립시간의 단축을 위하여 각 실장기 별로 부품공급 피더의 배치 및 실장순서가 최적화 되어야 하며, 표면실장기들의 라인 밸런스를 위하여 부품 할당이 최적화 되어야 한다. 전체의 최적화 문제를 정수계획문제로 수식화하며, 전향경로문제와 후향경로 문제로 분할하여 구성한다. 클러스터링 알고리즘과 branch-and-bound 알고리즘을 사용하여 전향경로문제의 해를 구하며, 할당 알고리즘과 연결 알고리즘을 사용하여 후향경로 문제의 해를 구한다. 시뮬레이션 결과를 통하여 제안된 방법의 성능을 평가한다.

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N/M/D/F/Fmax 일정계획 문제에서 최적 알고리듬의 개발 (A Development of Optimal Algorithms for N/M/D/F/Fmax Scheduling Problems)

  • 최성운
    • 산업경영시스템학회지
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    • 제13권21호
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    • pp.91-100
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    • 1990
  • This paper is concerned with the development of optimal algorithms for multi-stage flowshop scheduling problems with sequence dependent setup times. In the previous researches the setup time of a job is considered to be able to begin at the earliest opportunity given a particular sequence at the start of operations. In this paper the setup time of a job is considered to be able to begin only at the completion of that job on the previous machine to reflect the effects of the setup time to the performance measure of sequence dependent setup time flowshop scheduling. The results of the study consist of two areas; first, a general integer programming(IP) model is formulated and a nixed integer linear programming(MILP) model is also formulated by introducing a new binary variable. Second a depth-first branch and bound algorithm is developed. To reduce the computational burdens we use the best heuristic schedule developed by Choi(1989) as the first trial. The experiments for developed algorithm are designed for a 4$\times$3$\times$3 factorial design with 360 observations. The experimental factors are PS(ratio of processing time to setup time), M(number of machines), N(number of jobs).

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