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Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing
Kia, R.; Baboli, Arman; Javadian, N.; … - In: Computers & operations research : and their … 39 (2012) 11, pp. 2642-2658
Persistent link: https://www.econbiz.de/10009552357
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A VNS algorithm for a disassembly cell formation problem with demand variability
Mar-Ortiz, Julio; González-Velarde, José Luis; … - In: European journal of industrial engineering : EJIE 8 (2014) 1, pp. 22-49
Persistent link: https://www.econbiz.de/10010404071
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An integrated mathematical programming model for a dynamic cellular manufacturing system with limited resources
Mehdizadeh, Esmaeil; Shamoradifar, Mansour; Niaki, … - In: International journal of services and operations … 37 (2020) 1, pp. 1-26
Persistent link: https://www.econbiz.de/10012285518
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An efficient ant colony optimization system for the manufacturing cells formation problem
Spiliopoulos, K.; Sofianopoulou, S. - In: The international journal of advanced manufacturing … 36 (2008) 5/6, pp. 589-597
Persistent link: https://www.econbiz.de/10003689021
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Semi-robust layout design for cellular manufacturing in a dynamic environment
Salimpour, Saeideh; Pourvaziri, Hani; Azab, Ahmed - In: Computers & operations research : and their … 133 (2021), pp. 1-21
Persistent link: https://www.econbiz.de/10012591193
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A multi-objective model for designing a group layout of a dynamic cellular manufacturing system
Kia, Reza; Shirazi, Hossein; Javadian, Nikbakhsh; … - In: Journal of industrial engineering international 9 (2013), pp. 1-14
This paper presents a multi-objective mixed-integer nonlinear programming model to design a group layout of a cellular manufacturing system in a dynamic environment, in which the number of cells to be formed is variable. Cell formation (CF) and group layout (GL) are concurrently made in a...
Persistent link: https://www.econbiz.de/10009759157
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Designing an incremental cellular manufacturing system by using a hybrid approach based on the genetic algorithm and particle swarm optimisation
Karthikeyan, S.; Saravanan, M.; Kumar, S. Ganesh - In: International journal of enterprise network management 7 (2016) 4, pp. 322-333
Persistent link: https://www.econbiz.de/10011661448
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An optimisation approach for simulation operator allocation and job dispatching rule in a cellular manufacturing system
Ghoushchi, Saeid Jafarzadeh; Abbasi, Ali - In: International journal of services and operations … 40 (2021) 1, pp. 47-67
Persistent link: https://www.econbiz.de/10012693269
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Robust optimisation to design a dynamic cellular manufacturing system integrating group layout and workers' assignment
Lashgari, Mohsen; Kia, Reza; Jolai, Fariborz - In: European journal of industrial engineering : EJIE 15 (2021) 3, pp. 319-351
Persistent link: https://www.econbiz.de/10012594421
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Designing group layout of unequal-area facilities in a dynamic cellular manufacturing system with variability in number and shape of cells
Kia, R.; Shirazi, H.; Javadian, N.; Tavakkoli-Moghaddam, R. - In: International journal of production research 53 (2015) 11, pp. 3390-3418
Persistent link: https://www.econbiz.de/10011341398