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30-04-2023

An exact solution with an improved running time for the routing flow shop problem with two machines

Authors: Ilya Chernykh, Alexander Kononov, Sergey Sevastyanov

Published in: Journal of Scheduling

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Abstract

We present an improved analysis of the running time of a dynamic program for the routing flow shop problem with two machines on an asymmetric network. Our analysis is based on structural properties of optimal schedules and significantly improves the bound on the running time of the algorithm obtained in the conference version of our paper (Chernykh, Kononov, and Sevastyanov, in: Kononov, A. et al. (eds) Mathematical optimization theory and operations research. MOTOR 2020. Lecture notes in computer science, Springer, Switzerland, 2020). To the best of our knowledge, our polynomial-time algorithm (under the assumption that the number of network nodes is bounded by any constant) 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 contrasts with the complexity of the two-machine routing open shop problem, which is NP-hard even on the two-node network.

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Footnotes
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.
 
2
The possibility of designing a polynomial-time algorithm for the special case, when the transportation network is symmetric, was announced in Chernykh et al. (2018) (although, without a proof).
 
Literature
go back to reference 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. et al. (eds.) Mathematical optimization theory and operations research. MOTOR 2020. Lecture Notes in Computer Science, vol. 12095, pp. 301–312. Springer. https://doi.org/10.1007/978-3-030-49988-4_21 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. et al. (eds.) Mathematical optimization theory and operations research. MOTOR 2020. Lecture Notes in Computer Science, vol. 12095, pp. 301–312. Springer. https://​doi.​org/​10.​1007/​978-3-030-49988-4_​21
go back to reference Chernykh, I., Kononov, A., & Sevastyanov, S. (2018). Exact polynomial-time algorithm for the two-machine routing flow shop problem with a restricted transportation network. Optimization Problems and Their Applications (OPTA-2018), Abstracts of the VII International Conference (Omsk, Russia, July 8–14, 2018) (pp. 37–37). Omsk State University. Chernykh, I., Kononov, A., & Sevastyanov, S. (2018). Exact polynomial-time algorithm for the two-machine routing flow shop problem with a restricted transportation network. Optimization Problems and Their Applications (OPTA-2018), Abstracts of the VII International Conference (Omsk, Russia, July 8–14, 2018) (pp. 37–37). Omsk State University.
go back to reference Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., & Shmoys, D.B. (1993). Chapter 9. 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. https://doi.org/10.1016/S0927-0507(05)80189-6 Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., & Shmoys, D.B. (1993). Chapter 9. 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. https://​doi.​org/​10.​1016/​S0927-0507(05)80189-6
Metadata
Title
An exact solution with an improved running time for the routing flow shop problem with two machines
Authors
Ilya Chernykh
Alexander Kononov
Sergey Sevastyanov
Publication date
30-04-2023
Publisher
Springer US
Published in
Journal of Scheduling
Print ISSN: 1094-6136
Electronic ISSN: 1099-1425
DOI
https://doi.org/10.1007/s10951-023-00784-8