This paper is based on a discrete-event\r\nsimulation model and reproduces the sewing department\r\nof a clothing company involved in the fashion industry. It\r\naims to quantitatively assess the effects of different\r\nproduction configurations on flow time and production\r\ncapacity.\r\nIn particular, the production phases of men�s jackets are\r\nexamined. Eight configurations are evaluated, stemming\r\nfrom the combination of two parameters: batch size and\r\nnumber of machines. For each configuration, the flow\r\ntime, the production capacity and the waiting time are\r\ncomputed. A subsequent Design of Experiment (DoE)\r\nanalysis has been performed on these configurations,\r\nwith the aim of identifying significant single and\r\ncombined effects of the above parameters on the results\r\nobserved. The goal is to obtain improvements in the\r\nproduction process. The data provided by the simulation\r\nis used in order to make a critical analysis of the system\r\nproduction and leads to the formation of proposals for\r\nthe improvement of the lay-out.
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