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논문 기본 정보

자료유형
학술저널
저자정보
Jaehwan Yang (University of Seoul)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제12권 제1호
발행연도
2013.3
수록면
51 - 62 (12page)

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초록· 키워드

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This paper considers a single machine rescheduling problem whose original (efficiency related) objective is minimizing makespan. We assume that disruptions such as order cancelations and newly arrived orders occur after the initial scheduling, and we reschedule this disrupted schedule with the objective of minimizing a disruption related objective while preserving the original objective. The disruption related objective measures the impact of the disruptions as difference of completion times in the remaining (uncanceled) jobs before and after the disruptions. The artificial due dates for the remaining jobs are set to completion times in the original schedule while newly arrived jobs do not have due dates. Then, the objective of the rescheduling is minimizing the maximum earliness without tardiness. In order to preserve the optimality of the original objective, we assume that no-idle time and no tardiness are allowed while rescheduling. We first define this new problem and prove that the general version of the problem is unary NP-complete. Then, we develop three simple but intuitive heuristics. For each of the three heuristics, we find a tight bound on the measure called modified z-approximation ratio. The best theoretical bound is found to be 0.5 ? ε for some ε > 0, and it implies that the solution value of the best heuristic is at most around a half of the worst possible solution value. Finally, we empirically evaluate the heuristics and demonstrate that the two best heuristics perform much better than the other one.

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ABSTRACT
1. INTRODUCTION
2. NOTATION
3. PRELIMINARY RESULTS
4. COMPLEXITY RESULTS
5. HEURISTICS
6. EVALUATION MEASURE FOR HEURISTICS
7. WORST CASE BOUND ON MODIFIED Z-APPROXIMATION
8. COMPUTATIONAL STUDY
9. SUMMARY AND FURTHER RESEARCH
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