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GERGİN, ZEYNEP

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Dr. Öğr. Üyesi

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GERGİN

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ZEYNEP

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  • Publication
    A Comparative Sectoral Analysis of Industry 4.0 Readiness Levels of Turkish SMEs
    (Springer Science and Business Media Deutschland GmbH, 2021) EMİR, OĞUZ; GERGİN, ZEYNEP; YÜKSEKTEPE, FADİME ÜNEY; Dündar, Uğurcan; Gençyılmaz, Güneş M.; Çavdarlı, Ali Ihsan
    The concept of Industry 4.0 brings new standards and has an essential impact on business models, work organizations, and processes. Nowadays, companies are enforced to perform such challenges as meeting personal customer requests, flexibility, responsiveness, customer-oriented solutions, and delivering continuous value to survive in the competitive market. The most innovative companies are resourceful to integrate new digital tools into their business models by following initial trends. For Small and Medium-Sized Enterprises (SMEs), adopting these new industrial challenges, and responding to them quickly is vital when it is considered that they have 99.8% of the enterprise share of Turkey. To do so, an intensive effort is needed to integrate Industry 4.0 applications within the enterprises. It has been suggested in the literature that manufacturing organizations should begin with understanding their current level of maturity by defining their strengths and weaknesses. Further, a significant effort is required with the collaboration of government, academia, and industry leaders to guide enterprises for improving their capabilities in an objective and standardized manner. Despite the diversity of approaches directed to Industry 4.0 concepts, it is not easy to find a study that measures how the manufacturing sector is adopting Industry 4.0 and compares manufacturing sectors with each other. To this end, broad research is initiated in March 2018 to identify the current situation of SMEs in Turkey. In this paper, it is intended to extend the study by providing a comparative sector analysis for manufacturing SMEs in Turkey in terms of Industry 4.0 transformation. Possible action plan suggestions are presented according to the results obtained at the end of the paper. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
  • Publication
    A Quality Value Stream Mapping Study in a Knitwear Manufacturer
    (Springer Science and Business Media Deutschland GmbH, 2024) GERGİN, ZEYNEP; KILINÇ, ARDA SEDEN; AKSU, OZAN İBRAHİM; AKALIN, ARDA BURAK; ALBAYRAK, ABDÜLBAKİ; GÜNEŞ, SALİH
    The ready-made clothing industry is one of the sectors that has a high share in export and has a direct impact on our country's economy. Today, the increase in production diversity provides consumers with the chance to choose between alternatives and creates competitive environment for businesses that strive to meet consumer needs at the highest level. In other words, being able to quickly meet the customer's desired quality product at the desired price is as important as producing the product. In this case, businesses are faced with a production process that requires low cost, in which the variety of models and the quality of goods increased, by using the existing resources of the enterprises in the most efficient and flexible way. With this motivation, a case study is implemented for Narin Triko which has an important export market share. Great emphasis is placed on quality control procedures in the company as the customers are global brands, and this leads to more handling of a product and additional number of quality controls. While this approach ensures a higher degree of quality, it also slows down production, requires extra labour, increases lead times and generates more waste. Consequently, this study aims to identify the 7 waste items of lean production and make suggestions to reduce as appropriate. A newly proposed method called Quality Value Stream Mapping (QVSM) that integrates quality focus on Value Stream Mapping (VSM) method is applied. QVSM is a model created to address, analyse, visualize, and evaluate specific quality-related problems. It is expected to suggest some changes in the way the processes work and to increase the product quality by determining the process steps that can be improved regarding the reduction of the wastes like, over processing, overproduction, waiting times, work in process, transportations, scrap, rework and inspection costs. The study started by observing and analysing the production process to collect data on flow of information, process and material, and lean wastes. Then the data are processed for drawing the Current State QVSM that integrates quality-related processes such as quality inspections, rework processes and scrapping processes to the VSM showing the lean wastes. Finally, analysing the QVSM and identifying improvements led to drawing the Future State QVSM and proposing the improvement opportunities. Proposed improvements reduced the Non-Value Adding time 42%. Thus, the new lead time would be 13% less than the previous lead time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.