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An improved FPTAS for maximizing the weighted number of just-in-time jobs in a two-machine flow shop problem

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Abstract

Recently, Shabtay and Bensoussan (2012) developed an original exact pseudo-polynomial algorithm and an efficient \(\upvarepsilon \)-approximation algorithm (FPTAS) for maximizing the weighted number of just-in-time jobs in a two-machine flow shop problem. The complexity of the FPTAS is \(O\)((\(n^{4}/\upvarepsilon \))log(\(n\)/\(\upvarepsilon \))), where \(n\) is the number of jobs. In this note we suggest another pseudo-polynomial algorithm that can be converted to a new FPTAS which improves Shabtay–Bensoussan’s complexity result and runs in \(O(n^{3}/\upvarepsilon )\) time.

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References

  • Choi, B. C., & Yoon, S. H. (2007). Maximizing the weighted number of just-in-time jobs in flow shop scheduling. Journal of Scheduling, 10, 237–243.

    Google Scholar 

  • Elalouf, A., Levner, E., & Cheng, T. C. E. (2011). Efficient routing of mobile agents for agent-based integrated enterprise management: A general acceleration technique. Lecture Notes in Business Information Processing, 88, 1–20.

    Article  Google Scholar 

  • Ergun, F., Sinha, R., & Zhang, L. (2002). An improved FPTAS for restricted shortest path. Information Processing Letters, 83, 287–291.

    Article  Google Scholar 

  • Gens, G. V., & Levner, E. V. (1981). Fast approximation algorithm for job sequencing with deadlines. Discrete Applied Mathematics, 3, 313–318.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Hassin, R. (1992). Approximation schemes for the restricted shortest path problem. Mathematics of Operations Research, 17(1), 36–42.

    Article  Google Scholar 

  • Lann, A., & Mosheiov, G. (1996). Single machine scheduling to minimize the number of early and tardy jobs. Computers and Operations Research, 23, 765–781.

    Article  Google Scholar 

  • Levner, E., Elalouf, A., & Cheng, T. C. E. (2011). An improved FPTAS for Mobile Agent Routing with Time Constraints. Journal of Universal Computer Science, 17(13), 1854–1862.

    Google Scholar 

  • Lorenz, D. H., & Raz, D. (2001). A simple efficient approximation scheme for the restricted shortest path problem. Operations Research Letters, 28(5), 213–219.

    Article  Google Scholar 

  • Shabtay, D., & Bensoussan, Y. (2012). Maximizing the weighted number of just-in-time jobs in several two-machine scheduling systems. Journal of Scheduling, 15(1), 39–47.

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank Refael Hassin and the anonymous reviewer for helpful suggestions that improved the paper.

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Correspondence to Amir Elalouf.

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Elalouf, A., Levner, E. & Tang, H. An improved FPTAS for maximizing the weighted number of just-in-time jobs in a two-machine flow shop problem. J Sched 16, 429–435 (2013). https://doi.org/10.1007/s10951-013-0320-6

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  • DOI: https://doi.org/10.1007/s10951-013-0320-6

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