2015
DOI: 10.1016/j.ijpe.2014.09.022
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A note on “Simultaneously scheduling n jobs and the preventive maintenance on the two-machine flow shop to minimize the makespan”

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Cited by 13 publications
(9 citation statements)
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“…The SA by Rudek & Rudek (2012) cannot be compared to the ACO and CPSO developed by Huang & Yu (2016) , since Huang & Yu (2016) considers deteriorating maintenance duration while Rudek & Rudek (2012) focuses on deterioration of job processing times. Seif et al (2018) propose a GA-inspired algorithm which they name ALG and show that the ALG outperforms a standard GA. Aggoune (2003) , Kaabi, Varnier, & Zerhouni (2004) , Allaoui, Lamouri, Artiba, & E.Aghezzaf (2008) , Gara-Ali & Espinouse (2014 , Hadda (2015) , Mosheiov et al (2018) , Besbes, Teghem, & Loukil (2010) , Luo, Huang, Zhang, & Dai (2011) , Benbouzid-Si Tayeb, Guebli, Bessadi, Varnier, & Zerhouni (2011) , Nouri, Fattahi, & Ramezanian (2013 , Benbouzid-Si Tayeb & Belkaaloul (2014) , Boudjelida (2019) and Chansombat, Pongcharoen, & Hicks (2019) consider scheduling PM in a flexible window. Most studies use strict flexible windows, but in the studies by Kaabi et al (2004) , Benbouzid-Si Tayeb et al (2011) , Nouri et al (2013) , Benbouzid-Si Tayeb & Belkaaloul (2014 and Boudjelida (2019) , maintenance may be delayed or advanced beyond the time window, imposing earliness and tardiness penalties on the objective function.…”
Section: Scheduling With An Rmamentioning
confidence: 99%
“…The SA by Rudek & Rudek (2012) cannot be compared to the ACO and CPSO developed by Huang & Yu (2016) , since Huang & Yu (2016) considers deteriorating maintenance duration while Rudek & Rudek (2012) focuses on deterioration of job processing times. Seif et al (2018) propose a GA-inspired algorithm which they name ALG and show that the ALG outperforms a standard GA. Aggoune (2003) , Kaabi, Varnier, & Zerhouni (2004) , Allaoui, Lamouri, Artiba, & E.Aghezzaf (2008) , Gara-Ali & Espinouse (2014 , Hadda (2015) , Mosheiov et al (2018) , Besbes, Teghem, & Loukil (2010) , Luo, Huang, Zhang, & Dai (2011) , Benbouzid-Si Tayeb, Guebli, Bessadi, Varnier, & Zerhouni (2011) , Nouri, Fattahi, & Ramezanian (2013 , Benbouzid-Si Tayeb & Belkaaloul (2014) , Boudjelida (2019) and Chansombat, Pongcharoen, & Hicks (2019) consider scheduling PM in a flexible window. Most studies use strict flexible windows, but in the studies by Kaabi et al (2004) , Benbouzid-Si Tayeb et al (2011) , Nouri et al (2013) , Benbouzid-Si Tayeb & Belkaaloul (2014 and Boudjelida (2019) , maintenance may be delayed or advanced beyond the time window, imposing earliness and tardiness penalties on the objective function.…”
Section: Scheduling With An Rmamentioning
confidence: 99%
“…In the first assumption, some researchers considered one maintenance period in the horizon, for example the authors of [15][16][17] focused on scheduling resumable jobs in two-machine flow shops and the authors of [18,19] focused on the non-resumable jobs. Some researchers considered that the intervals are periodically fixed, for example the authors of [20][21][22] investigated the two-machine flow shops and the authors of [23,24] studied the multi-machine flow shops. In the second assumption, some researchers considered that the continuous working time of machine must be smaller than a threshold, for example the authors of [25] compared the difference between fixed constraint and flexible constraint.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The purpose of our paper is to establish an integrated model to minimize the bi-objective of makespan and energy consumption in flow shops with PM constraint and peak demand constraint. Compared with the methods in [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], this paper belongs to the energy-efficient scheduling problem. Compared with the methods in , the main difference of this paper is considering the impact of PM constraint and peak demand constraint.…”
Section: Literature Reviewmentioning
confidence: 99%
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