Search Results - subject:"Mixed-model sequencing"

Mixed-model assembly lines with variable takt and open stations

Huchzermeier, Arnd; Mönch, Tobias - In: Production and operations management : the flagship … 32 (2023) 3, pp. 704-722

Persistent link: https://www.econbiz.de/10014266141

Mixed‐model assembly lines with variable takt and open stations

Huchzermeier, Arnd; Mönch, Tobias - In: Production and Operations Management 32 (2022) 3, pp. 704-722

Industry trends such as product customization, radical innovation, and local production accelerate the adoption of mixed‐model assembly lines (MMALs) that can cope with a widening gap between model processing times and true build to order capabilitiy. The existing high work content deviations...

Persistent link: https://www.econbiz.de/10014503855

Mixed-model sequencing with reinsertion of failed vehicles : a case study for automobile industry

Yilmazlar, I. Ozan; Kurz, Mary E.; Rahimian, Hamed - In: International journal of production research 62 (2024) 23, pp. 8485-8504

Persistent link: https://www.econbiz.de/10015097339

Mixed-model sequencing with stochastic failures : a case study for automobile industry

Yilmazlar, I. Ozan; Kurz, Mary E.; Rahimian, Hamed - In: European journal of operational research : EJOR 319 (2024) 1, pp. 206-221

Persistent link: https://www.econbiz.de/10015083572

Balancing-sequencing paced assembly lines : a multi-objective mixed-integer linear case study

Lopes, Thiago Cantos; Michels, Adalberto Sato; Brauner, … - In: International journal of production research 61 (2023) 17, pp. 5901-5917

Persistent link: https://www.econbiz.de/10014382659

Mixed-model sequencing versus car sequencing : comparison of feasible solution spaces

Louis, Adèle; Alpan, Gülgün; Penz, Bernard; … - In: International journal of production research 61 (2023) 10, pp. 3415-3434

Persistent link: https://www.econbiz.de/10014323643

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles

Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR spectrum : quantitative approaches in management 44 (2022) 1, pp. 29-56

Persistent link: https://www.econbiz.de/10013172601

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles

Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR Spectrum 44 (2021) 1, pp. 29-56

in the mixed model sequencing (MMS) problem with stochastic processing times. The learning environment simulates …

Persistent link: https://www.econbiz.de/10014497560

Stochastic mixed-model assembly line sequencing problem : mathematical modeling and Q-learning based simulated annealing hyper-heuristics

Mosadegh, Hadi; Fatemi Ghomi, S. M. T.; Süer, Gürsel A. - In: European journal of operational research : EJOR 282 (2020) 2, pp. 530-544

Persistent link: https://www.econbiz.de/10012157844

An iterative decomposition for asynchronous mixed-model assembly lines : combining balancing, sequencing, and buffer allocation

Lopes, Thiago Cantos; Sikora, Celso; Michels, Adalberto Sato - In: International journal of production research 58 (2020) 2, pp. 615-630

Persistent link: https://www.econbiz.de/10012193985