Abstract
The paper is concerned with algorithms for the two-machine flow shop, where each job needs storage space (a buffer) during the entire time of its processing. The buffer requirement is determined by the duration of job’s first operation. The goal is to minimise the time needed for the completion of all jobs. This scheduling problem is NP-hard in the strong sense. Recently, the polynomial-time algorithms were developed for particular cases of this problem. In this paper, we discuss two heuristics based on these polynomial-time algorithms and compare them with other efficient heuristics.
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Acknowledgement
The research of the first author 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, project 20-07-00458.
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Kononov, A., Memar, J., Zinder, Y. (2022). Algorithms for Flow Shop with Job–Dependent Buffer Requirements. In: Le Thi, H.A., Pham Dinh, T., Le, H.M. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. MCO 2021. Lecture Notes in Networks and Systems, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-030-92666-3_6
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