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A multi-objective genetic algorithm for a mixed-model assembly U-line balancing type-I problem considering human-related issues, training, and learning

Rabbani, Masoud; Montazeri, Mona; Farrokhi-Asl, Hamed; … - In: Journal of industrial engineering international 12 (2016), pp. 485-497

Mixed-model assembly lines are increasingly accepted in many industrial environments to meet the growing trend of greater product variability, diversification of customer demands, and shorter life cycles. In this research, a new mathematical model is presented considering balancing a mixed-model...

Persistent link: https://www.econbiz.de/10011565314

Applying available-to-promise (ATP) concept in mixed-model assembly line sequencing problems in a Make-To-Order (MTO) environment : problem extension, model formulation and Lagrang...

Tanhaie, Fahimeh; Rabbani, Masoud; Manavizadeh, Neda - In: Opsearch : journal of the Operational Research Society … 57 (2020) 2, pp. 320-346

Persistent link: https://www.econbiz.de/10012229957

Mixed-model assembly line sequencing using real options

Rahimi-Vahed, Alireza; Rabbani, Masoud; … - In: Operations research proceedings 2006 : selected papers …, (pp. 161-167). 2007

Persistent link: https://www.econbiz.de/10003470642

A new approach for mixed-model assembly line sequencing

Rabbani, Masoud; Rahimi-Vahed, Alireza; Javadi, Babak; … - In: Operations research proceedings 2006 : selected papers …, (pp. 169-174). 2007

Persistent link: https://www.econbiz.de/10003470658

A multi-objective particle swarm for a mixed-model assembly line sequencing

Mirghorbani, Seyed Mohammed; Rabbani, Masoud; … - In: Operations research proceedings 2006 : selected papers …, (pp. 181-186). 2007

Persistent link: https://www.econbiz.de/10003470668

Solving a bi-objective mixed-model assembly-line sequencing using metaheuristic algorithms considering ergonomic factors, customer behavior, and periodic maintenance

Rabbani, Masoud; Mokhtarzadeh, Mahdi; Manavizadeh, Neda; … - In: Opsearch : journal of the Operational Research Society … 58 (2021) 3, pp. 513-539

Persistent link: https://www.econbiz.de/10012619414