Abstract
Under study is the classical NP-hard problem with three machines: N tasks must be fulfilled at three machines in minimum time. The processing time is given of each task at each machine. The processing sequences of all tasks are identical. It is impossible to process two tasks at one machine at the same time. We address the properties of this problem, find a new polynomially solvable case, and discuss a corresponding algorithm.
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References
N. I. Glebov, “Some Cases of Reducibility of the m-Processor Johnson Problem to the Problems with Two Processors,” Upravlyaemye Sistemy 17, 46–51 (Inst.Mat., Novosibirsk, 1978).
E. V. Levner, “The Network Approach to Scheduling Problems,” in Researches on Discrete Mathematics (Nauka, Moscow, 1973), pp. 135–150.
J. O. Achugbue and F. Y. Chin, “Complexity and Solutions of Some Three-Stage Shop Scheduling Problems,” Math. Oper. Res. 1(4), 532–544 (1982).
F. Burns and J. Rooker, “Three-Stage Flow-Shops With Recessive Second Stage,” Oper. Res. 26(1), 207–208 (1978).
M. R. Garey, D. S. Johnson, and R. Sethi, “The Complexity of Flow Shop and Job Shop Scheduling,” Math. Oper. Res. 1(2), 117–129 (1976).
S. M. Johnson, “Optimal Two and Three Stage Production Schedules With Setup Times Included,” Naval Res. Logist. Quart. 1(1), 61–68 (1954).
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Original Russian Text © V.V. Servakh, 2006, published in Diskretnyi Analiz i Issledovanie Operatsii, Ser. 2, 2006, Vol. 13, No. 2, pp. 44–55.
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Servakh, V.V. A polynomially solvable case of the three machine johnson problem. J. Appl. Ind. Math. 2, 397–405 (2008). https://doi.org/10.1134/S1990478908030101
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DOI: https://doi.org/10.1134/S1990478908030101