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Routing Open Shop with Two Nodes, Unit Processing Times and Equal Number of Jobs and Machines

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Mathematical Optimization Theory and Operations Research (MOTOR 2019)

Abstract

In the Routing Open Shop problem n jobs are located in the nodes of an edge-weighted graph \(G=(V,E)\) and m machines must process all jobs in such a way that each machine processes only one job at a time and each job is processed by only one machine at a time. The goal is to minimize the makespan, i. e. the time when the last machine comes back to the initial node called a depot (at the beginning all machines are in the depot). This problem is NP-hard even when the graph contains only two nodes. In this paper we consider the case of \(G=K_2\) when all processing times and travel times are unit. We pose the conjecture that the problem is polynomially solvable in this case, i. e. that the makespan depends only on the number of machines and the loads of the nodes and can be calculated in time \(O(\log mn)\). We provide some bounds on the makespan for the case of \(m=n\) depending on the loads distribution.

The research was supported by the program of fundamental scientific researches of the SB RAS, project 0314-2019-0014 and by the Russian Foundation for Basic Research, project 17-01-00170.

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References

  1. Averbakh, I., Berman, O., Chernykh, I.: A 6/5-approximation algorithm for the two-machine routing open shop problem on a 2-node network. Eur. J. Oper. Res. 166, 3–24 (2005). https://doi.org/10.1016/j.ejor.2003.06.050

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  3. van Bevern, R., Pyatkin, A.V.: Completing partial schedules for open shop with unit processing times and routing. In: Kulikov, A.S., Woeginger, G.J. (eds.) CSR 2016. LNCS, vol. 9691, pp. 73–87. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-34171-2_6

    Chapter  MATH  Google Scholar 

  4. van Bevern, R., Pyatkin, A.V., Sevastyanov, S.V.: An algorithm with parameterized complexity of constructing the optimal schedule for the routing open shop problem with unit execution times. Siberian Electron. Math. Rep. 16, 42–84 (2019). https://doi.org/10.33048/semi.2019.16.003

    Article  MathSciNet  MATH  Google Scholar 

  5. Bräsel, H., Kluge, D., Werner, F.: A polynomial algorithm for the \([n/m/0, t_{ij} =1, tree/cmax]\) open shop problem. Eur. J. Oper. Res. 72, 125–134 (1994). https://doi.org/10.1016/0377-2217(94)90335-2

    Article  MATH  Google Scholar 

  6. Brucker, P., Knust, S., Cheng, T.C.E., Shakhlevich, N.V.: Complexity results for flow-shop and open-shop scheduling problems with transportation delays. Ann. Oper. Res. 129, 81–106 (2004). https://doi.org/10.1023/b:anor.0000030683.64615.c8

    Article  MathSciNet  MATH  Google Scholar 

  7. Cole, R., Ost, K., Schirra, S.: Edge-coloring bipartite multigraphs in \(O(E \log D)\) time. Combinatorica 21, 5–12 (2001). https://doi.org/10.1007/s004930170002

    Article  MathSciNet  MATH  Google Scholar 

  8. Gonzalez, T., Sahni, S.: Open shop scheduling to minimize finish time. J. ACM 23, 665–679 (1976). https://doi.org/10.1145/321978.321985

    Article  MathSciNet  MATH  Google Scholar 

  9. Kononov, A.V.: On the routing open shop problem with two machines on a two-vertex network. J. Appl. Ind. Math. 6, 318–331 (2012). https://doi.org/10.1134/s1990478912030064

    Article  MathSciNet  MATH  Google Scholar 

  10. Leung, J.Y. (ed.): Handbook of Scheduling - Algorithms, Models, and Performance Analysis. Chapman and Hall/CRC (2004). http://www.crcnetbase.com/isbn/978-1-58488-397-5

  11. Lushchakova, I., Soper, A., Strusevich, V.: Transporting jobs through a two-machine open shop. Naval Res. Logist. 56, 1–18 (2009). https://doi.org/10.1002/nav.20323

    Article  MathSciNet  MATH  Google Scholar 

  12. Pyatkin, A.V., Chernykh, I.D.: The open shop problem with routing at a two-node network and allowed preemption. J. Appl. Indust. Math. 6, 346–354 (2012). https://doi.org/10.1134/s199047891203009x

    Article  MATH  Google Scholar 

  13. Strusevich, V.: A heuristic for the two-machine open-shop scheduling problem with transportation times. Discrete Appl. Math. 93(2), 287–304 (1999). https://doi.org/10.1016/S0166-218X(99)00115-8

    Article  MathSciNet  MATH  Google Scholar 

  14. Williamson, D.P., et al.: Short shop schedules. Oper. Res. 45, 288–294 (1997). https://doi.org/10.1287/opre.45.2.288

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Artem V. Pyatkin .

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Golovachev, M., Pyatkin, A.V. (2019). Routing Open Shop with Two Nodes, Unit Processing Times and Equal Number of Jobs and Machines. In: Khachay, M., Kochetov, Y., Pardalos, P. (eds) Mathematical Optimization Theory and Operations Research. MOTOR 2019. Lecture Notes in Computer Science(), vol 11548. Springer, Cham. https://doi.org/10.1007/978-3-030-22629-9_19

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  • DOI: https://doi.org/10.1007/978-3-030-22629-9_19

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