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Worst Case Analysis of a New Lower Bound for Flow Shop Weighted Completion Time Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4616))

Abstract

For the m-machine Flow Shop Weighted Completion Time problem, a New Lower Bound (NLB) is derived to improve the original lower bound which was given by Kaminsky and Simchi-Levi. 1) For the case of arbitrary weight, the NLB is asymptotically equivalent to the optimality solution, as the total number of jobs goes to infinity. Specially, when the processing times of jobs are all equal, the NLB is just the optimal solution. 2) For the case of equal-weight, a tight worst case performance ratio of the optimal solution to the NLB is obtained. At the end of the paper, computational results show the effectiveness of NLB on a set of random test problems.

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References

  1. Bhaskaran, K., Pinedo, M.: Dispatching. In: Salvendy, G. (ed.) Handbook of industrial engineering, Wiley, New York (1992)

    Google Scholar 

  2. Garey, M.R., Johnson, D.S., Sethi, R.: The complexity of flow shop and job shop scheduling. Mathematics of Operations Research 1, 117–129 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  3. Kaminsky, P., Simchi-Levi, D.: Probabilistic analysis and practical algorithms for the flow shop weighted completion time problem. Operations Research 46, 872–882 (1998)

    MATH  MathSciNet  Google Scholar 

  4. Kaminsky, P., Simchi-Levi, D.: The asymptotic optimality of the SPT rule for the flow shop mean completion time problem. Operations Research 49, 293–304 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  5. Kohler, W., Steiglitz, K.: Exact, approximate, and guaranteed accuracy algorithms for the flow shop problem [graphics object to be inserted manually]. Journal of the Association of Computer Machinery 22, 106–114 (1975)

    MATH  Google Scholar 

  6. Pinedo, M.: Scheduling: Theory, Algorithms and Systems. Prentice-Hall, Englewood Cliffs, New Jersey (1995)

    MATH  Google Scholar 

  7. Shakhlevich, N., Hoogeveen, H., Pinedo, M.: Minimizing total weighted completion time in a proportionate flow shop. Journal of Scheduling 1, 157–168 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  8. Xia, C.H., Shanthikumar, J.G., Glynn, P.W.: On the asymptotic optimality of the SPT rule for the flow shop average completion time problem. Operations Research 48, 615–622 (2000)

    Article  MATH  MathSciNet  Google Scholar 

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Andreas Dress Yinfeng Xu Binhai Zhu

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© 2007 Springer-Verlag Berlin Heidelberg

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Bai, D., Tang, L. (2007). Worst Case Analysis of a New Lower Bound for Flow Shop Weighted Completion Time Problem. In: Dress, A., Xu, Y., Zhu, B. (eds) Combinatorial Optimization and Applications. COCOA 2007. Lecture Notes in Computer Science, vol 4616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73556-4_22

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  • DOI: https://doi.org/10.1007/978-3-540-73556-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73555-7

  • Online ISBN: 978-3-540-73556-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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