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Robust scheduling on a single machine using time buffers

Author

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  • Dirk Briskorn
  • Joseph Leung
  • Michael Pinedo

Abstract

This article studies the scheduling of buffer times in a single-machine environment. A buffer time is a machine idle time in between two consecutive jobs and is a common tool to protect a schedule against disruptions such as machine failures. This article introduces new classes of robust machine scheduling problems. For an arbitrary non-preemptive scheduling problem 1|β|γ, three corresponding robustness problems are obtained: (i) maximize overall (weighted) buffer time while ensuring a given schedule's performance (with regard to the objective function γ); (ii) optimize the schedule's performance (with regard to γ) while ensuring a given minimum overall (weighted) buffer time; and (iii) find the trade-off curve regarding both objectives. The relationships between the different classes of problems and the corresponding underlying problems are outlined. Furthermore, the robust counterparts of three very basic single-machine scheduling problems are analyzed.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:uiiexx:v:43:y:2011:i:6:p:383-398
    DOI: 10.1080/0740817X.2010.505123
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    Cited by:

    1. Che, Ada & Feng, Jianguang & Chen, Haoxun & Chu, Chengbin, 2015. "Robust optimization for the cyclic hoist scheduling problem," European Journal of Operational Research, Elsevier, vol. 240(3), pages 627-636.
    2. Sun, Xuting & Chung, Sai-Ho & Choi, Tsan-Ming & Sheu, Jiuh-Biing & Ma, Hoi Lam, 2020. "Combating lead-time uncertainty in global supply chain's shipment-assignment: Is it wise to be risk-averse?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 406-434.
    3. Giorgi Tadumadze & Nils Boysen & Simon Emde, 2020. "Robust spotter scheduling in trailer yards," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 995-1021, December.

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