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  • 标题:Research and Modification of the Universal Method of Scheduling and Operational Planning of Objects with a Network Representation of Discrete Type Production
  • 本地全文:下载
  • 作者:Sergii Telenyk ; Alexander Pavlov ; Elena Misura
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2020
  • 卷号:20
  • 期号:10
  • 页码:31-39
  • DOI:10.22937/IJCSNS.2020.20.10.5
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:We study the efficiency of the universal method of scheduling and operational planning for objects with a network representation of discrete production processes (UMSOP) by means of statistical modeling. We claim the efficiency of the method in general and of using PSC-algorithms to solve NP-hard single-stage scheduling problems used in UMSOP. We present a modification of UMSOP, which consists in a proposition to use a new efficient approximation algorithm as a part of the operational planning model. The algorithm is created for the single-stage scheduling problem that allows to solve the operational plan adjusting problems more efficiently, comparing to the single-stage scheduling problem used in UMSOP. We show that the obtained solution is conditionally optimal and give a lower bound to the optimal value of this new problem’s functional.
  • 关键词:Scheduling; Operational planning; Discrete production; PSC algorithms; Approximation algorithm
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