YÖK Akademik

Permanent URI for this collectionhttps://acikarsiv.thk.edu.tr/handle/123456789/2553

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Now showing 1 - 4 of 4
  • Publication
    Smart manufacturing maturity assessment: a Turkish case study in glass balcony manufacturing enterprise
    (TAYLOR & FRANCIS LTD, 2024) Akyuez, Goeknur Arzu; Balkan, Dursun; Balkan, Dursun; Akyüz, Göknur Arzu; Turkish Aeronautical Association; Turk Hava Kurumu University; Turkish Aeronautical Association; Turk Hava Kurumu University; Turkish Aeronautical Association; Turk Hava Kurumu University
    Smartness journey involves increasing knowledge availability and maturity in technological, organizational, managerial, and human dimensions for the transformation of an enterprise. This article implements a systematic methodology and multi-dimensional maturity assessment tool to measure the maturity in the mentioned dimensions by offering a Turkish case study. Contrary to frequent mention of sectors such as automotive in relation to smartness concept, this study offers a real-life application in an adverse sector: glass balcony manufacturing. The methodology calculates weighted maturity index, determines the maturity levels for each dimension, and aggregates them into an overall enterprise maturity assessment. While applying the methodology, ratings are obtained via case company interview, and weight set utilized are determined via academic experts having practical sectoral expertise. Based on the findings, specific suggestions are provided to the case company for smart manufacturing implementation in multiple dimensions for their smartness journey. The study is original in comprehensively handling all maturity dimensions; demonstrating how smartness maturity can be practically measured in a case company by a flexible and weighted approach; obtaining simple, easy-to-interpret measurements; and authenticity of the sector. [GRAPHICS]
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    Technological maturity of the OECD countries: A multi-criteria decision-making approach using PROMETHEE
    (Informa UK Limited, 2023-06-05) Dursun Balkan; Göknur Arzu Akyüz; Balkan, Dursun; Akyüz, Göknur Arzu
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    LABOUR PRODUCTIVITY ANALYSIS OF MANUFACTURING SECTOR IN TURKEY AGAINST EU
    (Vilnius Gediminas Technical University, 2023-05-23) Dursun Balkan; Goknur Arzu Akyuz; Balkan, Dursun; Akyüz, Göknur Arzu
    This study offers an in-depth analysis of labour productivity of manufacturing sector in Turkey and provides a comparison with EU27 and EA19 countries utilizing Eurostat time series data of 63 quarters covering 2005/first quarter-2020/third quarter time interval. Productivity trends are identified and interpreted by relating them with the key macroeconomic events and factors. Multiple linear and non-linear regression equations, and ARIMA model with different parameters are applied to the time series data considering the periods with and without covid effect. Future projections are made for the periods 2020–2023 for Turkey manufacturing sector based on the best fitting regression and ARIMA solutions and they are compared. Findings revealed that extreme covid conditions of even two quarters of data have significant impact on the forecasted values for Turkey, EU27 and EA19 countries. ARIMA analysis with 12 different parameter settings provided accurate results, supported by Thiel’s inequality coefficients and standard error measures. Analysis has shown consistent patterns between EA19 and EU27 countries. ARIMA results represent better compatibility with the regression results for Turkey. Study is valuable by providing comprehensive and comparative analysis, revealing future forecasts and covid effect and degree of recovery from the pandemic.
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    Logistics Sector Turnover: Forecasting for Turkey, EU27 and EA19 under Effects of COVID-19
    (MDPI AG, 2023-04-07) Dursun Balkan; Goknur Arzu Akyuz; Balkan, Dursun; Akyüz, Göknur Arzu
    Background: The logistics sector is the backbone of today’s global trade, and is vital for the continuity of goods and services. The sector is gaining increased importance as logistics operate under the extreme conditions the world is passing through (COVID-19, earthquakes, wars). Methods: A comparative study is offered for Turkey and the EU27 and EA19 countries utilizing Eurostat database time series data for logistics turnover, based on regression analysis with and without COVID-19-affected data. General trends are identified regarding the logistics turnover and average turnover by different transportation modes in Turkey. Linear, exponential, logarithmic and polynomial regressions are fitted to the dataset to find the best fit. Afterwards, forecasting is performed based on the polynomial equation, which is identified as the best fit. A similar approach is repeated for the EU27 and EA19 countries to put forward the trends and forecasts as well as a detailed comparative discussion among countries. Results: Our study reveals the dramatic effect of COVID-19 on the turnover of different logistics modes and the radical shift that Turkey experienced from land transportation towards air transportation. Conclusions: Our study provides forecasting and a comparative picture for the logistics sector, shows the growth trends with respect to different transportation modes and reveals the effects of the pandemic on the logistics sector for Turkey and the EU27 and EA19 countries.