• 제목/요약/키워드: Heuristic technique

검색결과 242건 처리시간 0.021초

납기를 갖는 job shop 일정계획의 효율적인 발견적기법 (An Efficient Heuristic Technique for Job Shop Scheduling with Due Dates)

  • 배상윤;김여근
    • 한국경영과학회지
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    • 제21권3호
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    • pp.75-88
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    • 1996
  • This paper presents an efficient heuristic technique for minimizing the objectives related to tardiness such as total tardiness, maximum tardiness and root mean of tardiness in the job shop scheduling. The heuristic technique iteratively improves an active schedule through exploring the schedule's neighborrhood, using operation move methods. The move operatio is defined on an active chain of tardy jobs in the active schedule. To find the move operations which have a high probability of reducing tardiness, we develop move methods by exploiting the properties of active chains. Our technique is compared with the two existing heuristic techniques, that is, MEHA(Modified Exchange Heuristic Algorithm) and GSP(Global Scheduling Procedure) under the various environmental with the three levels of due date tightness and several sized problems. The experimental results show that the proposed technique outperforms the two exissting techiques in terms of solution quality and computation time.

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공정납기를 이용한 jop shop 일정계획의 발견적 기법 (A heuristic technique for jop shop scheduling using operation due dates)

  • 배상윤;김여근;김영균
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.46-49
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    • 1996
  • This paper presents a multi-pass heuristic for job shop scheduling with due dates. The proposed heuristic iteratively improves solutions based on operation due dates. To find a good solution efficiently, a method for searching the neighborhood of current schedule is developed. The heuristic is compared with two existing heuristics as well as several dispatching rules in terms of solution quality and computation time. The experimental results show that the proposed approach is promising.

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3차원 물품 적재에 관한 마이크로 컴퓨터용 프로그램 개발 (Development of a Micro-Computer based Program for the Three Dimensional Packing Problem)

  • 황학;이관재;선지웅
    • 대한산업공학회지
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    • 제23권1호
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    • pp.55-76
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    • 1997
  • This paper presents a heuristic solution for the three dimensional container loading problem with boxes which are different in size. The container loading problem is formulated as a zero-one mixed integer programming model whose objective is to maximize the container utilization. Due to its problem complexity, we propose a heuristic based on layered loading technique. Also, presented is a way to achieve the weighting balance of the stacked boxes. A micro-computer based program is developed which generates container loading pattern provided by the proposed heuristic. The results are displayed by computer-graphic. To evaluate the performance of the proposed heuristic, computational experiments are performed. The results indicate that in most of the cases the proposed heuristic performs better than an existing heuristic in terms of the container utilization.

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물류시스템 설계를 위한 의사결정지원 패키지의 개발 (Development of decision supporting package for the design of a physical distribution system)

  • 송성헌;양병학
    • 경영과학
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    • 제10권2호
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    • pp.79-91
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    • 1993
  • Strategic decisions related to the design of a physical distribution system can be classified into three basic components : facility location, transportation, inventory decisions. In this research the interdependence of those decisions are expressed in a mathematical model such that the total relevant cost of the system is minimized. We suggested a heuristic technique for solving the model. In broad terms, our solution technique combines a heuristic method for determining which candidate DCs to open and an exact method for minimizing costs given a set of open DCs. And we also developed a decision supporting package for the design of a physical distribution system.

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Tabu Search와 Constraint Satisfaction Technique를 이용한 Job Shop 일정계획 (Job Shop Scheduling by Tabu Search Combined with Constraint Satisfaction Technique)

  • 윤종준;이화기
    • 산업경영시스템학회지
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    • 제25권2호
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    • pp.92-101
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    • 2002
  • The Job Shop Scheduling Problem(JSSP) is concerned with schedule of m different machines and n jobs where each job consists of a chain of operations, each of which needs to be processed during an uninterrupted time period of a given length on a given machine. The purpose of this paper is to develop the efficient heuristic method for solving the minimum makespan problem of the large scale job shop scheduling. The proposed heuristic method is based on a Tabu Search(TS) and on a Constraint Satisfaction Technique(CST). In this paper, ILOG libraries is used to embody the job shop model, and a CST is developed for this model to generate the increased solution. Then, TS is employed to overcome the increased search time of CST on the increased problem size md to refine the next-current solution. Also, this paper presents the new way of finding neighbourhood solution using TS. On applying TS, a new way of finding neighbourhood solution is presented. Computational experiments on well known sets of MT and LA problem instances show that, in several cases, our approach yields better results than the other heuristic procedures discussed In literature.

퍼지관계곱을 이용한 수중운동체의 고수준 자율항행기법 (High-level Autonomous Navigation Technique of AUV using Fuzzy Relational Products)

  • 이영일;김용기
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제29권1_2호
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    • pp.91-97
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    • 2002
  • 본 논문에서는 자율수중운동체(AUVs, Autonomous Underwater Vehicles)의 실시간 충돌회피를 위한 휴리스틱 탐색기법을 논한다. 퍼지관계곱(fuzzy relational products)은 항행 환경에서 발생하는 장애물과 다음으로 이동 가능한 후보노드들과의 관계를 분석, 종합하는 수학적 도구로 사용된다. 본 논문은 영역전문가 보유한 장애물회피 관련 경험적 정보(heuristic information)를 반영하여 보다 효율적인 평가함수(evaluation function)를 고안하며 지능항행시스템의 상세경로설정(local path-planning)에 퍼지관계곱을 적용하여 보다 개선된 휴리스틱 탐색기법을 제안한다. 제안된 탐색기법의 성능검증을 위해 수행시간(cpu time), 경로의 최적화(optimization) 정도, 그리고 사용 메모리 관점에서 시뮬레이션을 통해 $A^{*}$ 탐색기법과 비교한다.

Greedy Heuristic기법과 열 제조에 의한 관광버스 배차방법 (A Tour Bus Scheduling Method by Greedy Heuristic and Column Generation Techniques)

  • 박순달;장병만
    • 한국국방경영분석학회지
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    • 제13권1호
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    • pp.101-115
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    • 1987
  • This paper presents an optimization based heuristic algorithm for a tour bus scheduling problem where buses consist of various kinds of sightseeing and commutation services. First, this algorithm transforms the prolem into a vehicle routing problem on whose nodes denote trips and arcs denote connections between trips. Second, a greedy heuritic routing technique is applied to find a good feasible bus-route set. Then the greedy feasible solution is improved by the simplex method using column generation technique. The algorithm provides a better near-optimal solution which gives much reductions in the total tour distance and the number of tour buses.

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JIT 상황하에서 다품종 조립라인 작업물 투입 순서 결정 방안 (Sequencing for a mixed model assembly line in just-in-time production system)

  • 황학;정인재;임준묵
    • 경영과학
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    • 제11권1호
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    • pp.91-106
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    • 1994
  • In mixed model assembly lines, products are assembled seqeuntially that have different combination of options specified by customers. In just in time (JIT) environment, production smoothing becomes an important issue for sub-lines which supply the necessary parts to each workstation of the assembly line. Another important issue is to avoid line stopping caused by work overload in workstations. To find a sequence which minimizes the costs associated with line stoppage and the option parts inventory level, a nonlinear mixed integer programming is formulated. Recognizing the limit of the Branch and Bound technique in large sized problems, a heuristic solution procedure is proposed. The performance of the heuristic is compared with the Branch and Bound technique through randomly generated test problems. The computational results indicate that on the average the heuristic solutions deviate approximately 3.6% from the optimal solutions.

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Workflow Scheduling Using Heuristic Scheduling in Hadoop

  • Thingom, Chintureena;Kumar R, Ganesh;Yeon, Guydeuk
    • Journal of information and communication convergence engineering
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    • 제16권4호
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    • pp.264-270
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    • 2018
  • In our research study, we aim at optimizing multiple load in cloud, effective resource allocation and lesser response time for the job assigned. Using Hadoop on datacenter is the best and most efficient analytical service for any corporates. To provide effective and reliable performance analytical computing interface to the client, various cloud service providers host Hadoop clusters. The previous works done by many scholars were aimed at execution of workflows on Hadoop platform which also minimizes the cost of virtual machines and other computing resources. Earlier stochastic hill climbing technique was applied for single parameter and now we are working to optimize multiple parameters in the cloud data centers with proposed heuristic hill climbing. As many users try to priorities their job simultaneously in the cluster, resource optimized workflow scheduling technique should be very reliable to complete the task assigned before the deadlines and also to optimize the usage of the resources in cloud.

MFC 기반 하이브리드 전자보오드 검사를 위한 규칙기반 솔루션 설계 (Design of a Rule-Based Solution Based on MFC for Inspection of the Hybrid Electronic Circuit Board)

  • 고윤석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권9호
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    • pp.531-538
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    • 2005
  • This paper proposes an expert system which is able to enhance the accuracy and productivity by determining the test strategy based on heuristic rules for test of the hybrid electronic circuit board producted massively in production line. The test heuristic rules are obtained from test system designer, test experts and experimental results. The guarding method separating the tested device with circumference circuit of the device is adopted to enhance the accuracy of measurements in the test of analog devices. This guarding method can reduce the error occurring due to the voltage drop in both the signal input line and the measuring line by utilizing heuristic rules considering the device impedance and the parallel impedance. Also, PSA(Parallel Signature Analysis) technique Is applied for test of the digital devices and circuits. In the PSA technique, the real-time test of the high integrated device is possible by minimizing the test time forcing n bit output stream from the tested device to LFSR continuously. It is implemented in Visual C++ computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the interface with the electronic circuit database and the hardware direct control. Finally, the effectiveness of the builded expert system is proved by simulating the several faults occurring in the mounting process the electronic devices to the surface of PCB for a typical hybrid electronic board and by identifying the results.