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A computational study of hybrid approaches of metaheuristic algorithms for the cell formation problem
Luong Thuan Thanh; Ferland, Jacques A.; Elbenani, Bouazza; … - In: Journal of the Operational Research Society : OR 67 (2016) 1, pp. 20-36
Persistent link: https://www.econbiz.de/10011516269
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A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems
Motahari, Rasool; Alavifar, Zeinolabedin; Andaryan, … - In: Computers & operations research : and their … 151 (2023), pp. 1-17
Persistent link: https://www.econbiz.de/10014234812
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Cell loading and family scheduling for jobs with individual due dates to minimise maximum tardiness
Süer, Grüsel A.; Ates, Ozan K.; Mese, Emre M. - In: International journal of production research 52 (2014) 19, pp. 5656-5674
Persistent link: https://www.econbiz.de/10010425024
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Throughput optimization for the robotic cell problem with controllable processing times
Al-Salem, Mohammed; Kharbeche, Mohamed - In: RAIRO / Operations research 51 (2017) 3, pp. 805-818
Persistent link: https://www.econbiz.de/10011858837
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Scheduling dynamic job shop manufacturing cells with family setup times : a simulation study
Klausnitzer, Armin; Neufeld, Janis S.; Buscher, Udo - In: Logistics research 10 (2017) 4, pp. 1-18
manufacturing cell. By a comprehensive simulation study these heuristics are evaluated and compared to established effective …Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems … implementing novel dispatching rules into twostage heuristics in order to solve group scheduling problems in a job shop …
Persistent link: https://www.econbiz.de/10011891978
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Machine cell formation for dynamic part population considering part operation trade-off and worker assignment using simulated annealing-based genetic algorithm
Deep, Kamal - In: European journal of industrial engineering : EJIE 14 (2020) 2, pp. 189-216
Persistent link: https://www.econbiz.de/10012198714
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Formation of independent manufacturing cells with the consideration of multiple identical machines
Lian, Jie; Liu, Chenguang; Li, WenJuan; Evans, Steve; … - In: International journal of production research 52 (2014) 5, pp. 1363-1400
Persistent link: https://www.econbiz.de/10010257394
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Solving cell formation and task scheduling in cellular manufacturing system by discrete bacteria foraging algorithm
Liu, Chunfeng; Wang, Jufeng; Leung, Joseph Y-T.; Li, Kai - In: International journal of production research 54 (2016) 3/4, pp. 923-944
Persistent link: https://www.econbiz.de/10011491967
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Studying unbalanced workload and buffer allocation of production systems using multi-objective optimisation
Ng, Amos H.C.; Shaaban, Sabry; Bernedixen, Jacob - In: International journal of production research 55 (2017) 24, pp. 7435-7451
Persistent link: https://www.econbiz.de/10011798610
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Workforce rostering for decentrally controlled production systems : a simulation-based optimization framework using a genetic algorithm
Schwemmer, Julia; Günsel, Christian; Kühn, Mathias; … - In: Logistics research 16 (2023) 1, pp. 1-26
days ahead. To solve this dilemma, we present a simulation-based genetic algorithm, which creates a roster with flexible …
Persistent link: https://www.econbiz.de/10014514933