Good layout plan leads to improve machine utilization, part demand quality, efficient setup time, less work‐in‐process inventory and material handling cost. Results demonstrate the superiority of the developed SA algorithm against rival comparable meta-heuristics and algorithms from the literature.įacility layout problem (FLP) is the arrangement of a given number of non‐equal‐sized facilities within the given space. A real case study from the metal cutting inserts industry has been used. In order to improve the search efficiency of the developed SA algorithm, the cell size used in the initialization heuristic algorithm is assumed twice as that of the original size of the cells. For the first time, a novel heuristic algorithm has been designed to allocate and displace facilities in radial direction. The problem is NP-hard hence, a simulated annealing meta-heuristic employing a novel constructive radial-based heuristic for initialization have been designed and implemented. Facilities are assumed unequal size operation sequences, part demands, overlap elimination, aisle are considered. A bi-level mixed-integer non-linear programming continuous model has been formulated to fully define the problem and the relationship between intra-cell and inter-cell layout design. Facility Layout Problem (FLP) for CMS includes both inter-cell layout and intra-cell layout. Cellular Manufacturing (CM) is an application of GTCM is the combination of job shop and/or flow shop. Good layout plan leads to in improve machine utilization, part demand quality, efficient setup time, less work-in-process inventory and material handling cost.
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