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Considering the interaction between the cell formation and cell layout problems when designing cellular manufacturing systems (CMSs), this paper investigates the integrated cell formation and layout problem (ICFLP).
The results of an illustrative example reveal that lower production cost and higher machine utilization rate can be generated by the concurrent cell formation and layout design, and the incorporation of relevant attributes.
Based on the proposed S-shaped layout, we formulate an integrated bi-objective cell formation and layout problem, considering parameters such as part demands, operation sequences, machine dimensions and aisle widths.
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Forghani et al. (2012) suggested a robust model to determine cell formation and group layout where the parts demand is uncertain.
In similar studies, Kia et al. (2013), Shirazi et al. (2014) presented multi-objective mixed-integer nonlinear programming models to combine the problems of dynamic cell formation and group layout.
Questionnaire format and layout were developed by MM and ZA.
The most proposed models for solving CMS problems are focused on cell formation and intracellular machine layout problem while cell layout is considered in few papers.
Paydar et al. (2013) presented a mathematical model for integration of cell formation, machine layout and production planning.
The design of a CM system (CMS) often involves three major decisions: cell formation, group layout, and group schedule.
The model integrates cell formation, group layout and production planning (PP) as three interrelated decisions involved in the design of a CMS.
Wu et al. (2007b) considered cell formation, group layout, and group scheduling decisions simultaneously in their model, which minimize the makespan.
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