OPTIMIZATION OF CELLULAR MANUFACTURING SYSTEMS DESIGN USING SEQUENCE DATA

Cell formation problem in Cellular Manufacturing System (CMS) design has attracted the attention Of researchers for more than three decades. However, the use of sequence data for cell formation has been considered less frequently. Sequence data provides valuable information about the flow patterns of various jobs in a manufacturing system. Therefore, it is only natural to expect that the use of sequence data results not only in identifying the part families and machine groups but also in the layout of the machines within each cell. This study proposes an efficient mathematical model for the CMS design problem, which handles the cell formation and layout design simultaneously. We seek to minimize the total cost of inter-cell and intra-cell (forward and backward) movements and the cost of machines. This model also considers the minimum utilization level of each cell to achieve the higher performance of cell utilization. Two examples from the literature are solved by the LINGO software package to validate and verify the proposed model.