Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Problem space based search algorithm for manufacturing process with rework probabilities affecting product quality and tardiness

Rework 확률이 제품의 품질과 납기준수에 영향을 주는 공정을 위한 문제공간기반 탐색 알고리즘

  • Kang, Yong-Ha (Dept. of Industrial and Systems Engineering, North Carolina State University) ;
  • Lee, Young-Sup (Dept. of management Engineering, Sangmyung University) ;
  • Shin, Hyun-Joon (Dept. of management Engineering, Sangmyung University)
  • 강용하 (노스캐롤라이나 주립대학교 산업공학과) ;
  • 이영섭 (상명대학교 경영공학과) ;
  • 신현준 (상명대학교 경영공학과)
  • Published : 2009.07.31
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Abstract

In this paper, we propose a problem space based search(PSBS) algorithm to solve parallel machine scheduling problem considering rework probabilities. For each pair of a machine and a job type, rework probability of each job on a machine can be known through historical data acquisition. Neighborhoods are generated by perturbing four problem data vectors (processing times, due dates, setup times, and rework probabilities) and evaluated through the efficient dispatching heuristic (EDDR). The proposed algorithm is measured by maximum lateness and the number of reworked jobs. We show that the PSBS algorithm is considerably improved from the result obtained by EDDR.

본 논문은 rework 발생확률을 고려하는 병렬기계 스케줄링 문제를 위해 문제공간기반 탐색 알고리즘을 제안한다. 각 기계와 작업유형별로 rework 발생확률이 존재하며 이것은 자동화된 공정에서 과거데이터로부터 산출가능하다. 스케줄링 문제의 데이터 벡터 (가공시간, 납기, 셋업시간, rework확률)를 교란시킴으로써 이웃해를 생성하고 이로부터 도출된 해는 EDDR이라는 효과적인 휴리스틱을 이용하여 평가한다. 제안된 알고리즘은 납기지연의 최대값과 rewok 발생 작업수로 평가함으로써 제품의 품질과 납기수준을 동시에 고려할 수 있도록 한다.

Keywords

References

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