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Scheduling jobs under increasing linear machine maintenance time

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Abstract

Although scheduling problems with machine availability have attracted many researchers’ attention, most of the past studies are mainly focused on one or several prefixed machine maintenance activities. In this research, we assume that the time needed to perform one maintenance activity is an increasing linear function of the total processing time of the jobs that are processed after the machine’s last maintenance activity. We consider two scheduling problems with such maintenance requirement in this paper. The first problem is a parallel machine scheduling problem where the length of the time interval between any two consecutive maintenance activities is between two given positive numbers. The objective is to minimize the maintenance makespan, i.e., the completion time of the last finished maintenance. The second problem is a single machine scheduling problem where the length of the time interval between any two consecutive maintenance activities is fixed and the objective is to minimize the makespan, i.e., the completion time of the last finished job. We propose two approximation algorithms for the considered problems and analyze their performances.

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References

  • Baase, S., & Gelder, A. V. (2000). Computer algorithms: introduction to design and analysis (3rd ed.). Massachusetts: Addison-Wesley.

    Google Scholar 

  • Coffman, Jr., E. G., Garey, M. R., & Johnson, D. S. (1978). An application of bin-packing to multiprocessor scheduling. SIAM Journal on Computing, 7, 1–17.

    Article  Google Scholar 

  • Coffman, Jr., E. G., Garey, M. R., & Johnson, D. S. (1997). Approximation algorithms for bin packing: a survey. In D. S. Hochbaum (Ed.), Approximation algorithms for NP-hard problems (pp. 46–93). Boston: PWS.

    Google Scholar 

  • Graham, R. L. (1966). Bounds for certain multiprocessor anomalies. Bell System Technical Journal, 45, 1563–1581.

    Google Scholar 

  • Graham, R. L., Lawer, E. L., Lenstra, J. K., & Rinnooy Kan, A. H. G. (1979). Optimization and approximation in deterministic sequencing and scheduling: a survey. Annals of Discrete Mathematics, 5, 287–326.

    Article  Google Scholar 

  • Ji, M., He, Y., & Cheng, T. C. E. (2007). Single-machine scheduling with periodic maintenance to minimize makespan. Computers & Operations Research, 34, 1764–1770.

    Article  Google Scholar 

  • Lee, C. Y. (2004). Machine scheduling with availability constraints. In J. Y.-T. Leung (Ed.), Handbook of scheduling: algorithms, models, and performance analysis. Boca Raton: Chapman & Hall/CRC (Chap. 22).

    Google Scholar 

  • Sanlaville, E., & Schmidt, G. (1998). Machine scheduling with availability constraints. Acta Informatica, 35, 795–811.

    Article  Google Scholar 

  • Schmidt, G. (2000). Scheduling with limited machine availability. European Journal of Operational Research, 121, 1–15.

    Article  Google Scholar 

  • Simchi-Levi, D. (1994). New worst-case results for the bin packing problem. Naval Research Logistics, 41, 579–585.

    Article  Google Scholar 

  • Xu, D. H., Sun, K. B., & Li, H. X. (2008). Parallel machine scheduling with almost periodic maintenance and non-preemptive jobs to minimize makespan. Computers & Operations Research, 35, 1344–1349.

    Article  Google Scholar 

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Correspondence to Hongxing Li.

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Xu, D., Yin, Y. & Li, H. Scheduling jobs under increasing linear machine maintenance time. J Sched 13, 443–449 (2010). https://doi.org/10.1007/s10951-010-0182-0

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