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Volumn 11, Issue 1, 2008, Pages 59-69

Minimizing the number of late jobs in a stochastic setting using a chance constraint

Author keywords

Chance constraint; Dynamic programming; Minimum success probability; NP hardness; Number of late jobs; Scheduling; Sequencing; Single machine; Stochastic processing times

Indexed keywords

CHANCE CONSTRAINTS; MINIMUM SUCCESS PROBABILITY;

EID: 38349102788     PISSN: 10946136     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10951-007-0034-8     Document Type: Article
Times cited : (32)

References (9)
  • 2
    • 0003666178 scopus 로고
    • (Research Report 43). Management Science Research Project, University of California, Los Angeles
    • Jackson, J. R. (1955). Scheduling a production line to minimize maximum tardiness (Research Report 43). Management Science Research Project, University of California, Los Angeles.
    • (1955) Scheduling A Production Line to Minimize Maximum Tardiness
    • Jackson, J.R.1
  • 6
    • 0014571702 scopus 로고
    • A functional equation and its application to resource allocation and sequencing problems
    • Lawler, E. L., & Moore, J. M. (1969). A functional equation and its application to resource allocation and sequencing problems. Management Science, 16, 77-84.
    • (1969) Management Science , vol.16 , pp. 77-84
    • Lawler, E.L.1    Moore, J.M.2
  • 7
    • 0001253255 scopus 로고
    • Optimal sequencing of a single machine subject to precedence constraints
    • Lawler, E. L. (1973). Optimal sequencing of a single machine subject to precedence constraints. Management Science, 19, 544-546.
    • (1973) Management Science , vol.19 , pp. 544-546
    • Lawler, E.L.1
  • 8
    • 0000062028 scopus 로고
    • An n job, one machine sequencing algorithm for minimizing the number of late jobs
    • Moore, J. M. (1968). An n job, one machine sequencing algorithm for minimizing the number of late jobs. Management Science, 15, 102-109.
    • (1968) Management Science , vol.15 , pp. 102-109
    • Moore, J.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.