2022
DOI: 10.1016/j.cor.2022.106014
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Two dimensional guillotine cutting stock and scheduling problem in printing industry

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Cited by 6 publications
(2 citation statements)
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“…Lunardi et al also proposed and evaluated a local search strategy and meta-heuristic for a flexible job shop scheduling problem with sequencing flexibility, which was proven to have competitive performance [23]. To minimise the total printing cost composed of paper and plate costs, Mostajabdaveh et al developed a nonlinear integer programming model to obtain exact solutions for small-sized instances and an efficient genetic algorithm to solve real-sized problems [24]. Tuyttens and Vandaele proposed a new greedy random adaptive search procedure to solve the label and the cover printing problem [25].…”
Section: Related Workmentioning
confidence: 99%
“…Lunardi et al also proposed and evaluated a local search strategy and meta-heuristic for a flexible job shop scheduling problem with sequencing flexibility, which was proven to have competitive performance [23]. To minimise the total printing cost composed of paper and plate costs, Mostajabdaveh et al developed a nonlinear integer programming model to obtain exact solutions for small-sized instances and an efficient genetic algorithm to solve real-sized problems [24]. Tuyttens and Vandaele proposed a new greedy random adaptive search procedure to solve the label and the cover printing problem [25].…”
Section: Related Workmentioning
confidence: 99%
“…Recently, [31] proposed a nonlinear integer programming (NIP) model and a genetic algorithm (GA) for the 2D guillotine cutting stock problem and the scheduling problem in the printing industry.…”
Section: Related Workmentioning
confidence: 99%