Search Results - subject:"parallel machine scheduling"

Revisiting the development trajectory of parallel machine scheduling

Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Xin-Yi - In: Computers & operations research : an international journal 168 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10014566976

Preemptive scheduling of parallel jobs of two sizes with controllable processing times

Shioura, Akiyoshi; Strusevich, Vitaly A.; Shakhlevich, … - In: Journal of scheduling : JOS 27 (2024) 2, pp. 203-224

Persistent link: https://www.econbiz.de/10015049216

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups

Li, Funing; Lang, Sebastian; Hong, Bingyuan; Reggelin, … - In: Journal of Intelligent Manufacturing 35 (2023) 3, pp. 1107-1140

As an essential scheduling problem with several practical applications, the parallel machine scheduling problem (PMSP …

Persistent link: https://www.econbiz.de/10015193603

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups

Li, Funing; Lang, Sebastian; Hong, Bingyuan; Reggelin, … - In: Journal of Intelligent Manufacturing 35 (2023) 3, pp. 1107-1140

As an essential scheduling problem with several practical applications, the parallel machine scheduling problem (PMSP …

Persistent link: https://www.econbiz.de/10015402110

Exact and metaheuristic approaches for unrelated parallel machine scheduling

Moser, Maximilian; Musliu, Nysret; Schaerf, Andrea; … - In: Journal of scheduling : JOS 25 (2022) 5, pp. 507-534

Persistent link: https://www.econbiz.de/10013453904

Tabu search for a parallel-machine scheduling problem with periodic maintenance, job rejection and weighted sum of completion times

Krim, Hanane; Zufferey, Nicolas; Potvin, Jean-Yves; … - In: Journal of scheduling : JOS 25 (2022) 1, pp. 89-105

Persistent link: https://www.econbiz.de/10013171731

Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem

Yamashiro, Hirochika; Nonaka, Hirofumi - In: Operations Research Perspectives 8 (2021), pp. 1-9

parallel machine scheduling using estimated processing time by our method resulted in an average reduction of approximately 30 …

Persistent link: https://www.econbiz.de/10012662841

Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem

Yamashiro, Hirochika; Nonaka, Hirofumi - In: Operations research perspectives 8 (2021), pp. 1-9

parallel machine scheduling using estimated processing time by our method resulted in an average reduction of approximately 30 …

Persistent link: https://www.econbiz.de/10012596666

Integrated order picking and vehicle routing with due dates

Schubert, Daniel; Scholz, André; Wäscher, Gerhard - 2017

Supermarkets typically order their goods from a centrally located distribution center (warehouse). Each order that the warehouse receives is characterized by the requested items, the location of the respective supermarket and a due date by which the items have to be delivered. For processing an...

Persistent link: https://www.econbiz.de/10011641475

The robust machine availability problem

Song, G.; Kowalczyk, D.; Leus, Roel - 2017

Persistent link: https://www.econbiz.de/10011674195

A service of the

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