A neighborhood search algorithm for one-machine scheduling problem with time lags

  • Authors:
  • Zhao Ruiguo;Li Jiejia

  • Affiliations:
  • LiaoNing Urban Construction School, Shenyang, China;College of Information & Control Engineering, Shenyang Institute of Architectural and Civil Engineering, Shenyang, China

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

The one-machine scheduling problem with time lags while minimizing the completion time is NP-hard. The problem typically arises in a manufacturing where the next job has to be carried out in a specific time window after the completion of the immediately proceeding job. Scheduling the jobs is to find a shortest path that passes all the nodes and meets all precedence constraints and time lags constraints on AON (Activity-On-Node) net. A nonlinear mathematic optimization model is established based on AON net. A neighborhood search algorithm is proposed to convert the nonlinear model into a linear programming model that could be solved by standard software. Computational results prove that the proposed neighborhood search algorithm is effective.