Yazar "Kocak, Aydin" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Competency Gap Identification Through Customized I4.0 Education Scale
    (Springer-Verlag Singapore Pte Ltd, 2022) Kocamaz, Murat; Cicekli, U. Gokay; Kocak, Aydin; Soyuer, Haluk; Bauer, Jorge Martin; Bas, Gokcen; Durakbasa, Numan M.
    The key competencies and knowledge of employees in a new era of production systems based on the concept of Industry 4.0 are becoming increasingly important for business and education worldwide. The intensive interaction of intelligent production systems and people in the context of Industry 4.0 is the future of an agile, flexible, environmentally friendly, safe and efficient working environment. The key to this lies in the education and training of people in such advanced production systems. One of the most important prerequisites for companies to be successful in Industry 4.0 implementation and sustain their competitiveness and innovation is to have a skilled workforce aligned with Industry 4.0. In order to provide this prerequisite, it is necessary to determine what the competencies required for Industry 4.0 in businesses are, identify the competency gaps, and create custom education plans to close these deficiencies. From this point of view, the CEP I4.0 project funded under the Erasmus+ Programme aims to provide a customized training plan to close Industry 4.0 competitiveness gaps in order to support competitiveness and innovation in companies. This paper presents the need analysis that has been carried out based on the data collected from the participants from Turkey and Austria so far, with the details of the open-ended questions directed to the participants and analysis findings. Moreover, the main and sub-dimensions of the Industry 4.0 competence scale being developed are also presented.
  • Küçük Resim Yok
    Öğe
    DYNAMIC RELIABILITY ANALYSIS OF A MULTI-STATE MANUFACTURING SYSTEM
    (Polish Maintenance Soc, 2019) Iscioglu, Funda; Kocak, Aydin
    Dynamic reliability analysis of binary systems has been widely studied in case of homogeneous continuous time Markov process assumption in the literature. In this study, we evaluate dynamic performance of a multi-state rotor line of electric motors manufacturing system under non-homogeneous continuous time Markov process (NHCTMP) degradation by using lifetime distributions of seven workstations within the system. By means of this degradation process assumption we capture the effect of age on the state change of components in the analysis by means of time dependent transition rates between states of the workstations. Essentially this is typical of many systems and more practical to use in real life applications. The working principle is based on a three state structure. If all the machines within each workstation work, the workstation is defined as working with the full performance. Whenever at least one machine fails within each workstation, then the workstation is defined as working with partial performance. If all the machines in the workstation fail then the workstation is defined as failed. The lifetime properties of the workstations under NHCTMP assumption have been studied for this three-state structure of the workstations. The workstations are all working independently and nonidentically from each other and they are connected in series within the system. We especially performed an extensive application study based on the lifetime data regarding the seven workstations within a manufacturing system. Dynamic reliability results are also discussed for the system structure. Some performance characteristics are developed for both workstations and the system as well. Numerical results far the performance characteristics of those workstations and the system are provided and supported with some graphical illustrations.
  • Küçük Resim Yok
    Öğe
    Evaluation of Critical Success Factors in the Transitional Processes of Industry 4.0 using DEMATEL Method
    (Ege Univ, Fac Economics & Admin Sciences, 2018) Kocak, Aydin; Diyadin, Asli
    Enterprises have difficulty in managing their supply chain as the World has become a single market because of rapid growth in information systems and technologies. In this sense, Industry 4.0 has become popular in recent years as a result of seeking ways to manage supply chain more effectively. Consequently, enterprises are getting prepared to move from the 3rd Industrial Revolution to the 4th Industrial Revolution. Identification of the factors affecting the success of enterprises in this transition process and understanding the effects of these factors are important in terms of the effectiveness of the process of transition to Industry 4.0. In this study, firstly literature review was carried out to determine critical success factors in the processes of transition to Industry 4.0. Then, these factors were evaluated by decision makers of a German company which is located in Izmir, is a global producer in the textile sector and has initiated the Industry 4.0 processes. All data was evaluated using the DEMATEL method in order to analyze the success factors affecting the enterprise's process of transition to the industry 4.0.
  • Küçük Resim Yok
    Öğe
    A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19
    (Emerald Group Publishing Ltd, 2022) Ozbiltekin-Pala, Melisa; Kocak, Aydin; Kazancoglu, Yigit
    PurposeCOVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.Design/methodology/approachIn this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.FindingsAs a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.Originality/valueIt is expected that this study will contribute to managers and policy makers as it addresses the new normal that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.