서지주요정보
복수의 헤드를 가지는 갠트리방식 칩마운터에서 피더간섭을 고려한 피더할당과 픽업시퀀스 생성 = A feeder assignment problem for gantry-type surface mounting devices with multiple component pickup heads and feeder interference
서명 / 저자 복수의 헤드를 가지는 갠트리방식 칩마운터에서 피더간섭을 고려한 피더할당과 픽업시퀀스 생성 = A feeder assignment problem for gantry-type surface mounting devices with multiple component pickup heads and feeder interference / 권준형.
저자명 권준형 ; Kwon, Jun-Hyung
발행사항 [대전 : 한국과학기술원, 2001].
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소장정보

등록번호

8011743

소장위치/청구기호

학술문화관(문화관) 보존서고

MIE 01002

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반납예정일

등록번호

9007549

소장위치/청구기호

서울 학위논문 서가

MIE 01002 c. 2

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초록정보

We investigate the feeder assignment problem for gantry-type surface mounting devices with multiple component pickup heads and feeder interference. As the sizes of components and printed circuit boards significantly reduce, the times for picking up components from the feeders are most critical, which are greatly affected by arrangement of the feeders. Instead of time-consuming direct optimization of the cycle time, we propose a strategy of maximizing the degree of simultaneous pickups, which greatly contributes to minimizing the total cycle time. For a given feeder arrangement, we develop an efficient greedy heuristic to generate a pickup sequence that optimize the degree of simultaneous pickups. An evaluation function is developed to measure the degree of simultaneous pickups for such determined pickup sequence for a given feeder arrangement. Using the evaluation function, we then develop a genetic algorithm for searching an optimal feeder arrangement that maximizes the degree of simultaneous pickups. We also develop an extended physical-logical conversion method to apply genetic operators easily. Finally, we examine the experimental performance of the proposed algorithm.

서지기타정보

서지기타정보
청구기호 {MIE 01002
형태사항 v, 74 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Jun-Hyung Kwon
지도교수의 한글표기 : 이태억
지도교수의 영문표기 : Tae-Eog Lee
학위논문 학위논문(석사) - 한국과학기술원 : 산업공학과,
서지주기 참고문헌 : p. 72-74
주제 피더할당
칩마운터
피더간섭
표면실장
유전알고리듬
feeder assignment problem
surface mounting devices
feeder interference
genetic algorithm
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