期刊文献+

割集平行路线差额法──一种确定网络计划最佳工期的有效算法 被引量:2

THE DIFFERENCE METHOD OF PARALLEL PATH BY USING CUT SET
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摘要 本文在应用最小割选择多重关键路线的最优压缩工序集合的基础上,提出了确定最大压缩量的割集平行路线差额法,有效地解决了网络计划技术中最佳工期或赶工期的计算问题。 On the basis of using the minimal cut set theory to choose the optimal activity to be shortened on multiple critical paths, this paper puts forward a method called the Difference Method of Parallel Path to determine the maximal shortening volume.This new method efficiently solve the problem of optimal duration of PERT or CPM.
出处 《管理工程学报》 CSSCI 1996年第2期67-71,共5页 Journal of Industrial Engineering and Engineering Management
关键词 最小费用 算法 网络计划 割集平行网络 最佳工期 Critical path, Cut set, Minimal cost, Project networks
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参考文献4

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  • 2吴育华,工程经济数学方法,1989年
  • 3魏国华,实用运筹学,1989年
  • 4郑仲三,南开大学学报,1988年,1期

同被引文献14

  • 1骆正清,杨善林.层次分析法中几种标度的比较[J].系统工程理论与实践,2004,24(9):51-60. 被引量:400
  • 2汪浩,马达.层次分析标度评价与新标度方法[J].系统工程理论与实践,1993,13(5):24-26. 被引量:128
  • 3张文鸽,黄强.层次分析法(AHP)的标度分析及其在水利工程评价中的应用[J].西北农林科技大学学报(自然科学版),2006,34(3):152-156. 被引量:22
  • 4K. Bouleiman. H. Lecocq. A new efficient simulated annealing algorithm for the resource - constrained project scheduling problem and its multiple mode version[J]. European Journal of Operational Research. 2003 (149) :268 -281.
  • 5Rolf H. Solving project scheduling problems by minimum cut computations [J]. Management Science,2003,49 (3) :330 -350.
  • 6David R. Anderson, Dennisn J. Sweeney ,Thomas A. Williams. An Introduction to Management Science Quantitative Approaches to Decision Making[M]. Thomson Learning,2003:340.
  • 7Sou -Sen Leu,Chung-Huei Yang,Jiun -Ching Huang. Resource leveling in construction by genetic algotithm-based optimization and in decision support system application[J]. Automation in Cnostruction,2000(10) :27-41.
  • 8Jong Y K, Chang W K, InKerk H. A practical approach to project scheduling: considering the potential quality loss cost in the time-cost tradeoffproblem [J]. International Journal of Project Management, 2012, 30(2): 264-272.
  • 9O Moselhi, N Roofigari-Esfahan. Compression of Project Schedules using the Analytical Hierarchy Process [J]. Journal of Multi-Criteria Decision Analysis, 2012, 19: 67-78.
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