A flowshop scheduling problem with machine deterioration and maintenance activities

Multiple ionization under strong XUV to X-ray radiation

“…The form and underlying physics of such rate equations depend on the photon energy range. For hard X-rays, the main mechanism is the single-photon ejection of deep inner shell electrons, followed by cascades of Auger processes, in which several more electrons are ejected [16,17]. Eventually (during the pulse) ionic species whose valence ionization potential is larger than the photon energy are generated.…”

“…In principle, the process of ionization could continue via two-photon ionization. On the basis of the existing evidence so far [16], it appears that such two-photon processes are too weak to make a significant contribution. This may be reasonable since the cross section for two-photon ionization decreases rather rapidly with photon energy in the X-ray range.…”

Production, maintenance and resource scheduling: A review

“…The work of Kubzin & Strusevich (2005) , Kubzin & Strusevich (2006) , Cheng, Ying, Chen, & Lin (2018) , Huang & Yu (2016) , Rudek & Rudek (2012) , Seif, Yu, & Rahmanniyay (2018) , Assia, El Abbassi, El Barkany, Darcherif, & El Biyaali (2020) and Gara-Ali & Espinouse (2015) study the scheduling of production with an RMA. Kubzin & Strusevich (2005) , Kubzin & Strusevich (2006) , Cheng et al (2018) and Huang & Yu (2016) consider a maintenance activity, the duration of which is deteriorating, while Rudek & Rudek (2012) , Seif et al (2018) and Assia et al (2020) examine the case where job processing times are deteriorating. Gara-Ali & Espinouse (2015) consider both deteriorating processing times and maintenance durations.…”

“…In Gara- Ali & Espinouse (2015) , position-dependent deterioration is examined for jobs while linear time-dependent deterioration is considered for maintenance. The studies by Rudek & Rudek (2012) , Assia et al (2020) and Gara- Ali & Espinouse (2015) present a mathematical formulation in the form of a B&B algorithm, while Kubzin & Strusevich (2005) and Kubzin & Strusevich (2006) provide polynomial time approximations. Huang & Yu (2016) and Rudek & Rudek (2012) and Seif et al (2018) are the only studies that present meta-heuristic solutions.…”

“…The studies by Rudek & Rudek (2012) , Assia et al (2020) and Gara- Ali & Espinouse (2015) present a mathematical formulation in the form of a B&B algorithm, while Kubzin & Strusevich (2005) and Kubzin & Strusevich (2006) provide polynomial time approximations. Huang & Yu (2016) and Rudek & Rudek (2012) and Seif et al (2018) are the only studies that present meta-heuristic solutions. 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.…”