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  • 标题:Solving a mixed-integer linear programming model for a multi-skilled project scheduling problem by simulated annealing ,
  • 本地全文:下载
  • 作者:H Kazemipoor ; R. Tavakkoli-Moghaddam ; P. Shahnazari-Shahrezaei
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:681-688
  • DOI:10.5267/j.msl.2011.10.010
  • 出版社:Growing Science
  • 摘要:A multi-skilled project scheduling problem (MSPSP) has been generally presented to schedule a project with staff members as resources. Each activity in project network requires different skills and also staff members have different skills, too. This causes the MSPSP becomes a special type of a multi-mode resource-constrained project scheduling problem (MM-RCPSP) with a huge number of modes. Given the importance of this issue, in this paper, a mixed integer linear programming for the MSPSP is presented. Due to the complexity of the problem, a meta-heuristic algorithm is proposed in order to find near optimal solutions. To validate performance of the algorithm, results are compared against exact solutions solved by the LINGO solver. The results are promising and show that optimal or near-optimal solutions are derived for small instances and good solutions for larger instances in reasonable time
  • 关键词:Project scheduling; Simulated annealing; Mixed integer linear programming
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