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YILMAZ EROĞLU, DUYGU

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YILMAZ EROĞLU

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    Publication
    Systematization, implementation and analysis of the overall throughput effectiveness calculation for the finishing processes after weaving
    (Ege Univ, 2019-04-01) Eroglu, Duygu Yilmaz; YILMAZ EROĞLU, DUYGU; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği.; AAH-1079-2021
    For the sustainability of continuous improvement, the importance of acquiring as much data as possible from the production field is indisputable. However, converting these data into key performance indicators in a lean production system is much more important. This paper focuses on the finishing processes of the weaving industry in a real production plant. In the study, roll of fabric based traceability is first provided by a radio frequency identification (RFID) and programmable logic controller (PLC) automation structure. In the next step, the calculation of the overall equipment effectiveness (OEE) for each process is provided, and a method of converting these OEE values to the unique indicator as the overall throughput effectiveness (OTE) is proposed. In the last phase of the paper, after getting OTE value automatically, it was aimed to reveal the relationship between the production environment parameters and the OTE indicator. A revised hybrid genetic algorithm was proposed to determine the most important production environment parameters that affect OTE results. Multiple linear regression was utilized to verify the result of the developed algorithm.
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    Simulated annealing algorithm and implementation software for fabric cutting problem
    (Ege Üniversitesi, 2020-01-01) Eroğlu, Duygu Yılmaz; Orbak, Ali Yurdun; YILMAZ EROĞLU, DUYGU; ORBAK, ALİ YURDUN; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü; 0000-0002-4921-4275; 0000-0002-7730-2707; AAH-1079-2021; M-9216-2014
    The development of loom technology has significantly increased the efficiency of fabric output in the textile industry. Additionally, preventing the occurrence of defects during the manufacturing process on the fabric is not easy. Therefore, after the production is completed, the aim is deciding the cutting location of the product, which has the defect map, to increase the first quality product quantity by considering the customer quality parameters. In this article, a decision support system has been developed to help the inspector in the final stage which will also prevent losses. The utilized algorithm is the Simulated Annealing algorithm, which is well known and rendered good results for different types of problems in the literature. In the study, a sample problem is used to explain the adaptation of the algorithm to the problem, and the design of the experiments is deployed to obtain the best parameter values for the algorithm. Finally, the software, which is prepared to use the algorithm in the real production environment, is introduced and the results of the performance analysis are evaluated. The results demonstrated that the developed software is capable of making high ratio first quality fabric decisions within seconds.