Abstract
In the flowshop scheduling problem, n jobs are to be processed on m machines. The order of the machines is fixed. We assume that a machine processes one job at a time and a job is processed on one machine at a time without preemption. Let t p (i, j) denote the processing time of job j on machine i and t c (i, j) denote the completion time of job j on machine i. Let Jj denote the j-th job and M i the i-th machine. The completion times of the jobs are obtained as follows. For i = 1, 2,..., m and j = 1, 2,..., n, t c (M 1, J 1) = t p (M 1, J 1);t c (M i , J 1) = t c (M i−1, J 1) + t p (M i , J 1);t c (M 1, J j ) = t c (M 1, J j−1) + t p (M 1, J j ); t c (M i , J j ) = max{t c (M i−1, J j ),t c (M i ,J j−1)} + t p (M i ,J j ). Makespan is defined as the completion time of the last job, t c (M m , J n ). The goal is to obtain the n-job sequence that minimizes the makespan. The search space consists of n! possible job sequences. The problem is NP-hard.
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© 2004 Springer-Verlag Berlin Heidelberg
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Chakraborty, U.K. (2004). New Heuristics for Flowshop Scheduling. In: Lotfi, A., Garibaldi, J.M. (eds) Applications and Science in Soft Computing. Advances in Soft Computing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45240-9_12
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DOI: https://doi.org/10.1007/978-3-540-45240-9_12
Publisher Name: Springer, Berlin, Heidelberg
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