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Lemos, R. F.; Ronconi, D. P. - In: International journal of production economics 168 (2015), pp. 131-142

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A branch-and-bound approach to minimise the value-at-risk of the makespan in a stochastic two-machine flow shop

Liu, Lei; Urgo, Marcello - In: International journal of production research 62 (2024) 6, pp. 2107-2123

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Stochastic resource-constrained project scheduling

Stork, Frederik (contributor) - 2001 - [Elektronische Ressource]

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Saraç, Tugba; Ozcelik, Feristah; Ertem, Mehmet - In: Operational research : an international journal 23 (2023) 3, pp. 1-19

Persistent link: https://www.econbiz.de/10014364599

A branch-and-bound algorithm for shift scheduling with stochastic nonstationary demand

Defraeye, Mieke; Van Nieuwenhuyse, Inneke - In: Computers & operations research : and their … 65 (2016), pp. 139-148

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Due-window assignment scheduling problem with stochastic processing times

Yue, Qing; Zhou, Shenghai - In: European journal of operational research : EJOR 290 (2021) 2, pp. 453-468

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Stochastic single-machine scheduling to minimize the weighted expected flow-time and maximum expected lateness subject to precedence constraints given by an OR network

Bücker, Matthias C. - 1989

Persistent link: https://www.econbiz.de/10014459509

Operations research proceedings 1999 : selected papers of the Symposium on Operations Research (SOR '99), Magdeburg, September 1 - 3, 1999

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Scheduling cross-docking operations under uncertainty : a stochastic genetic algorithm based on scenarios tree

Gallo, Andrea; Accorsi, Riccardo; Akkerman, Renzo; … - In: EURO journal on transportation and logistics 11 (2022), pp. 1-15

A cross-docking terminal enables consolidating and sorting fast-moving products along supply chain networks and reduces warehousing costs and transportation efforts. The target efficiency of such logistic systems results from synchronizing the physical and information flows while scheduling...

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Intraday dynamic rescheduling under patient no-shows

Shetty, Aditya; Groenevelt, Harry; Tilson, Vera - In: Health care management science : a new journal serving … 26 (2023) 3, pp. 583-598

Persistent link: https://www.econbiz.de/10014383167