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A Polynomial-Time Algorithm for the Routing Flow Shop Problem with Two Machines: An Asymmetric Network with a Fixed Number of Nodes

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Mathematical Optimization Theory and Operations Research (MOTOR 2020)

Abstract

We consider the routing flow shop problem with two machines on an asymmetric network. For this problem we discuss properties of an optimal schedule and present a polynomial time algorithm assuming the number of nodes of the network to be bounded by a constant. To the best of our knowledge, this is the first positive result on the complexity of the routing flow shop problem with an arbitrary structure of the transportation network, even in the case of a symmetric network. This result stands in contrast with the complexity of the two-machine routing open shop problem, which was shown to be NP-hard even on the two-node network.

This research was supported by the program of fundamental scientific researches of the SB RAS No I.5.1., project No 0314-2019-0014, and by the Russian Foundation for Basic Research, projects 20-07-00458 and 18-01-00747.

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Notes

  1. 1.

    The relationship between the routing flow shop problem and the problem of planning the construction of country houses in England was proposed by Natalia Shakhlevich in a private communication.

References

  1. Averbakh, I., Berman, O.: Routing two-machine flowshop problems on networks with special structure. Transp. Sci. 30(4), 303–314 (1996). https://doi.org/10.1287/trsc.30.4.303

    Article  MATH  Google Scholar 

  2. Averbakh, I., Berman, O.: A simple heuristic for \(m\)-machine flow-shop and its applications in routing-scheduling problems. Oper. Res. 47(1), 165–170 (1999). https://doi.org/10.1287/opre.47.1.165

    Article  MATH  Google Scholar 

  3. Averbakh, I., Berman, O., Chernykh, I.: The routing open-shop problem on a network: complexity and approximation. Eur. J. Oper. Res. 173(2), 531–539 (2006). https://doi.org/10.1016/j.ejor.2005.01.034

    Article  MathSciNet  MATH  Google Scholar 

  4. Chernykh, I., Kononov, A., Sevastyanov, S.: A polynomial-time algorithm for the routing flow shop problem with two machines: an asymmetric network with a fixed number of nodes. http://arxiv.org/abs/2004.03942

  5. Chernykh, I., Kononov, A., Sevastyanov, S.: Exact polynomial-time algorithm for the two-machine routing flow shop problem with a restricted transportation network. In: Optimization problems and their applications (OPTA-2018), Abstracts of the VII International Conference, Omsk, Russia, 8–14 July 2018, pp. 37–37. Omsk State University (2018)

    Google Scholar 

  6. Garey, M.R., Johnson, D.S., Sethi, R.: The complexity of flowshop and jobshop scheduling. Math. Oper. Res. 1(2), 117–129 (1976). https://www.jstor.org/stable/3689278

    Article  MathSciNet  Google Scholar 

  7. Johnson, S.M.: Optimal two- and three-stage production schedules with setup times included. Rand Corporation (1953). https://www.rand.org/pubs/papers/P402.html

  8. Józefczyk, J., Markowski, M.: Heuristic solution algorithm for routing flow shop with buffers and ready times. In: Swiątek, J., Grzech, A., Swiątek, P., Tomczak, J.M. (eds.) Advances in Systems Science. AISC, vol. 240, pp. 531–541. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-01857-7_52

    Chapter  Google Scholar 

  9. Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., Shmoys, D.B.: Sequencing and scheduling: algorithms and complexity. In: Logistics of Production and Inventory, Handbooks in Operations Research and Management Science, vol. 4, pp. 445–522. Elsevier (1993). https://doi.org/10.1016/S0927-0507(05)80189-6

  10. Yu, V.F., Lin, S., Chou, S.: The museum visitor routing problem. Appl. Math. Comput. 216(3), 719–729 (2010). https://doi.org/10.1016/j.amc.2010.01.066

    Article  MATH  Google Scholar 

  11. Yu, W., Liu, Z., Wang, L., Fan, T.: Routing open shop and flow shop scheduling problems. Eur. J. Oper. Res. 213(1), 24–36 (2011). https://doi.org/10.1016/j.ejor.2011.02.028

    Article  MathSciNet  MATH  Google Scholar 

  12. Yu, W., Zhang, G.: Improved approximation algorithms for routing shop scheduling. In: Asano, T., Nakano, S., Okamoto, Y., Watanabe, O. (eds.) ISAAC 2011. LNCS, vol. 7074, pp. 30–39. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25591-5_5

    Chapter  Google Scholar 

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Correspondence to Sergey Sevastyanov .

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Chernykh, I., Kononov, A., Sevastyanov, S. (2020). A Polynomial-Time Algorithm for the Routing Flow Shop Problem with Two Machines: An Asymmetric Network with a Fixed Number of Nodes. In: Kononov, A., Khachay, M., Kalyagin, V., Pardalos, P. (eds) Mathematical Optimization Theory and Operations Research. MOTOR 2020. Lecture Notes in Computer Science(), vol 12095. Springer, Cham. https://doi.org/10.1007/978-3-030-49988-4_21

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