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Scheduling a single machine with multiple preventive maintenance activities and position-based deteriorations using genetic algorithms

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Abstract

In this paper, we study a single machine scheduling problem with deteriorating processing time of jobs and multiple preventive maintenances which reset deteriorated processing time to the original processing time. In this situation, we consider three kinds of problems whose performance measures are makespan, total completion time, and total weighted completion time. First, we formulate integer programming formulations, and using the formulations, one can find optimal solutions for small problems. Since these problems are known to be NP-hard and the size of real problem is very large, we propose a number of heuristics and design genetic algorithms for the problems. Finally, we conduct some computational experiments to evaluate the performance of the proposed algorithms.

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Authors and Affiliations

  1. Graduate School of Management of Technology, Pukyong National University, Busan, 608-737, South Korea

    Byung Soo Kim

  2. International Logistics Management, Yasar University, Izmir, Turkey

    Yucel Ozturkoglu

Authors
  1. Byung Soo Kim
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  2. Yucel Ozturkoglu
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Correspondence to Byung Soo Kim or Yucel Ozturkoglu.

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Kim, B.S., Ozturkoglu, Y. Scheduling a single machine with multiple preventive maintenance activities and position-based deteriorations using genetic algorithms. Int J Adv Manuf Technol 67, 1127–1137 (2013). https://doi.org/10.1007/s00170-012-4553-x

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  • DOI: https://doi.org/10.1007/s00170-012-4553-x

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