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Single Machine Predictive Scheduling Using Inserted Idle Times

Author

Listed:
  • Hongli Zhu
  • Hong Zhou

Abstract

A single machine predictive scheduling problem is considered. The primary objective is to minimize the total completion times. The predictability of the schedule is measured by the completion time deviations between the predictive schedule and realized schedule. The surrogate measure of predictability is chosen to evaluate the completion time deviations. Both of the primary objective and predictability are optimized. In order to absorb the effects of disruptions, the predictive schedule is generated by inserting idle times. Right‐shift rescheduling method is used as the rescheduling strategy. Three methods are designed to construct predictive schedules. The computational experiments show that these algorithms provide high predictability with minor sacrifices in shop performance.

Suggested Citation

  • Hongli Zhu & Hong Zhou, 2014. "Single Machine Predictive Scheduling Using Inserted Idle Times," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:304808
    DOI: 10.1155/2014/304808
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    References listed on IDEAS

    as
    1. Deyi Mou & Wanlin Zhao, 2013. "An Irregular Flight Scheduling Model and Algorithm under the Uncertainty Theory," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-8, September.
    2. Dirk Briskorn & Joseph Leung & Michael Pinedo, 2011. "Robust scheduling on a single machine using time buffers," IISE Transactions, Taylor & Francis Journals, vol. 43(6), pages 383-398.
    3. Deyi Mou & Wanlin Zhao, 2013. "An Irregular Flight Scheduling Model and Algorithm under the Uncertainty Theory," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    Full references (including those not matched with items on IDEAS)

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