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KARATEPE MUMCU, YELDA

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KARATEPE MUMCU

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Subject: Engineering and Technology ×

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Now showing 1 - 2 of 2
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    PublicationOpen Access
    Application of heuristic assembly line balancing methods to lighting automation industry
    (2022-12-01) KARATEPE MUMCU, YELDA; Karatepe Mumcu Y.
    The assembly line balancing problem is an important issue for every manufacturing company. A balanced assembly line ensures that a product is produced in the optimum time, and as a result of this effect, less machinery, materials and labour are used during this production. In this article, theoretical information about assembly line balancing has been given, and then the data needed for assembly line balancing has been obtained by making a time study of the production of Downlight Luminaire. With these data obtained, assembly line balancing was done and compared by using Hoffman and Comsoal methods. The aim of this study is to investigate the applicability of Hoffman and Comsoal methods, which are one of the heuristic assembly line balancing methods, in the assembly lines of the companies producing in the lighting sector.
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    PublicationOpen Access
    An application of Artificial Neural Network solution in the apparel industry for Job distribution to subcontractors
    (2022-10-01) KARATEPE MUMCU, YELDA; KAYAR, MAHMUT; Karatepe Mumcu Y., Kayar M., Bulur Ö. C.
    In this study, the results of the work distribution made with the TOPSIS method, which is frequently used in the distribution of work to the subcontractor workshops, were estimated using the Artificial Neural Networks Method (ANN). Here, the C* values used in the work distribution with the TOPSIS method were estimated by ANN. The correlation coefficient of the data obtained from the created model was found to be 99.99895% for learning. According to the results, it has been concluded that work distribution can be made by using the ANN method without making complex mathematical calculations in the distribution of work to the contract workshops.