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A choice of accelerator technology, the machine layout and its main parameters are discussed.
Paydar et al. (2013) presented a mathematical model for integration of cell formation, machine layout and production planning.
Open image in new window Figure 1 Best obtained cell configurations, machine layout, and material flow with predetermined number of cells (three cells in each period).
Open image in new window Figure 2 Best obtained cell configurations, machine layout and material flow with optimal number of cells (two cells in each period).
In this paper we apply the multiple attribute decision making (MADM) concept and propose a two-stage method that leads to determine cell formation, intracellular machine layout and cell layout as three basic steps in the design of CMS.
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Hsieh and Sha (1996) introduced the idea of concurrent design of machine layouts and AGV guide paths to minimize the number of loops in tandem layout to minimize the need for transfer the loads between the loops.
Their design has a significant impact on the machine layout, complexity, and performance.
Also, the time value of money, determination of the machine layout, allocation of machinery and facilities, and solving the problems by other meta-heuristic methods are recommended for researchers who are interested in this particular subject.
Ariafar et al. (2012) examined the effect of demand fluctuation on cell layout in shop and machine layout in cell.
This paper considers combined scheduling and machine layout problems in a flexible manufacturing system (FMS).
The cell configurations and machine layout for two periods corresponding to the best solutions obtained using the model (Kia et al. 2012) with three cells and the presented model with two optimal cells are shown in Figures 1 and 2, respectively.
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