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Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - On some lower bounds for the permutation flowshop problem
AU - Letchford, Adam
AU - Dang, Thu
AU - Caceres Gelvez, Sebastian
PY - 2023/11/30
Y1 - 2023/11/30
N2 - The permutation flowshop problem with makespan objective is a classic machine scheduling problem, known to be NP-hard in the strong sense. We analyse some of the existing lower bounds for the problem, including the “job-based” and “machine-based” bounds, a bound from linear programming (LP), and a recent bound of Kumar and co-authors. We show that the Kumar et al. bound dominatesthe machine-based bound, but the LP bound is stronger still. On the other hand, the LP bound does not, in general, dominate the jobbased bound. Based on this, we devise simple iterative procedures for strengthening the Kumar et al. and LP bounds. Computational results are encouraging. In particular, we are able to obtain improved lower bounds for the “hard, small” instances of Vallada, Ruiz and Framinan.
AB - The permutation flowshop problem with makespan objective is a classic machine scheduling problem, known to be NP-hard in the strong sense. We analyse some of the existing lower bounds for the problem, including the “job-based” and “machine-based” bounds, a bound from linear programming (LP), and a recent bound of Kumar and co-authors. We show that the Kumar et al. bound dominatesthe machine-based bound, but the LP bound is stronger still. On the other hand, the LP bound does not, in general, dominate the jobbased bound. Based on this, we devise simple iterative procedures for strengthening the Kumar et al. and LP bounds. Computational results are encouraging. In particular, we are able to obtain improved lower bounds for the “hard, small” instances of Vallada, Ruiz and Framinan.
KW - machine scheduling
KW - flowshop scheduling
KW - combinatorial optimisation
U2 - 10.1016/j.cor.2023.106320
DO - 10.1016/j.cor.2023.106320
M3 - Journal article
VL - 159
JO - Computers and Operations Research
JF - Computers and Operations Research
SN - 0305-0548
M1 - 106320
ER -