• 제목/요약/키워드: optimal planning

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컨베이어 상의 이동 물체 획득을 위한 로봇의 최소시간 알고리즘 (Minimum time Algorithm for intercepting a Moving Object on Conveyor System)

  • 신익상;문승빈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.526-528
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    • 2004
  • This paper focuses on planning strategies for object interception, especially with minimum time. Herein, the goal is for robot to intercept object with minimum time on a conveyor line that flows to x-axis with respect to world coordinate system. In order to do it, conveyor system needs the algorithms for minimizing time. This objective is achieved by solving about two problems: selection of a minimum-time interception point and planning of an optimal robot trajectory. Herein, the first problem is formulated a minimization of the robot-object interception time.

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인쇄회로기판 조립용 디스펜서의 경로계획 알고리즘 (A Path Planning Algorithm for Dispenser Machines in Printed Circuit Board Assembly System)

  • 송종석;박태형
    • 제어로봇시스템학회논문지
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    • 제6권6호
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    • pp.506-513
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    • 2000
  • This paper proposes a path planning algorithm for dispensers to increase the productivity in printed circuit board assembly lines. We analyze the assembly sequence of the dispenser, and formulate it as an integer programming problem. The mathematical formulation can accomodate multiple heads and different types of heads through extended cost matrix. The TSP algorithms are then applied to the formulated problem to find the near-optimal solution. Simulation results are presented to verify the usefulness of the proposed scheme.

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Feasibility Function의 정량화(定量化)에 근거한 RDPPL/SAFE의 기능구축(機能構築) (Construction of RDPPL / SAFE based on Quantification of Feasibility Function)

  • 권철신
    • 대한산업공학회지
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    • 제8권2호
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    • pp.3-14
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    • 1982
  • The purpose of this study is to establish the function of a sub-system for System Alternatives Feasibility Estimation (SAFE) in R & D Project Planning Phase (RDPPL). It is the fundamental function of the RDPPL/SAFE that selected an optimal planning system alternative of all, considered at RDPPL/SAS, by logical means in view of feasibility. In this paper, improving the function of RDPPL/SAFE, mathmatical models in order to quantify methods determining and integrating the feasibility funtion in each terminal system with a multi-stage process are examined.

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지역성을 반영한 전력수급계획 방법론에 관한 연구 (A study on the method of locational power development planning)

  • 한석만;정구형;김발호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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    • pp.195-197
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    • 2006
  • This paper presents new power development planning method. This method uses modified-OPF (Optimal Power Flow) includes attribution constrains. After solved the OPF, shadow prices of constraints are used making the weighting factors. These factors are used ordering new generators.

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전력계통 계획용 최적운전 모델 (Constrained Economic Dispatch for Planning purpose)

  • 백영식;권영한;추진부
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1992년도 하계학술대회 논문집 A
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    • pp.100-102
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    • 1992
  • Optimal generation dispatch algorithm is developed using L.P and load dispatch method. The algorithm is composed with three steps. Fist phase, analytical algorithm is adopted to solve to minimize quadratic cost functions which fits well for planning purpose. Second phase uses L.P method for obtain economic redispatch that satisfies line constraints. When there is no solution whitch satisfy line constraints load shedding algorithm solves the problem.

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다종생산방식(多種生産方式)을 갖는 동적(動的) 롯트결정(決定) 문제(問題)에 관한 계획기간(計劃期間) 절차(節次) (Planning Horizon Procedure for the Dynamic Lot Size Model with Multiple Production Modes)

  • 로재호
    • 산업기술연구
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    • 제5권
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    • pp.91-96
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    • 1985
  • This paper presents a problem of a Wagner-Whitin type in which there are several options for setup and production in a period. Theorems that efficiently decrease the computational effort required to find optimal policies and a Planning Horizon Theorem are developed.

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기회비용을 고려한 열화시스템의 보전한계갱신정책 (Maintenance Limit Renewal Policy for Inferiority System based on Opportunity Cost)

  • 박상민;김연수
    • 산업경영시스템학회지
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    • 제17권32호
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    • pp.233-242
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    • 1994
  • This study deals with the derivative adverse minimum for inferiority system depends on continuose operating under infinite planning horizon. This planning will be accomplished by maintenance limit renewal policy in consideration of opportunity cost which affects system by failure during operation periods and expected cost under nomal operation states. By the results, we will be expected incresing total efficiency for the system by optimal renewal policy.

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Waste Management for Hog Farms - Review -

  • Svoboda, I.F.;Jones, A.
    • Asian-Australasian Journal of Animal Sciences
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    • 제12권2호
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    • pp.295-304
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    • 1999
  • The planning and application of new developments in management of wastes. in hog farming is required to minimise the gaseous emissions from wastes and pollution of the aquatic environment. These strategies are enveloped in the "Farm Waste Management Plan" which identifies areas of the waste assets in form of plant nutrient and considers optimal manute collecting and storing procedures. The storage volumes for environmentally acceptable manure treatments and application methods are suggested. Good Waste Management Planning together with appropriate system design will ensure safe, reliable and effective waste handling.

A multi-product multi-facility production planning model with capacity constraints

  • Sung, C.S.
    • 한국경영과학회지
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    • 제10권2호
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    • pp.15-23
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    • 1985
  • A multi-product multi=facility production planning model is in which known demands must be satisfied. The model considers concave production costs and piecewise concave inventory costs in the introduction of production capacity constraints. Backlogging of unsatisfied demand is permitted. The structure of optimal production schedules is characterized and then used to solve an illustrative numerical problem.

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A Two-Product Three-Facility Production Planning Model in a Combined Parallel and Serial System

  • Sung, C.S.;Lee, B.J.;Lee, Y.J.
    • 대한산업공학회지
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    • 제11권2호
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    • pp.47-56
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    • 1985
  • This paper considers a two-product three-facility production planning model, where facility 1 produces product 1 to satisfy its own market requirements and supplies input to facility 2, and facility 2 requires another input from facility 3 (outside supplier). The objective is to determine the optimal production amount in each period in order to satisfy the dynamic demands on time, which minimizes the total cost of production and storage. The set-up cost is incurred jointly from the multi-facility operations.

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