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Permanent URI for this collectionhttps://acikarsiv.thk.edu.tr/handle/123456789/2552

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Author: search.filters.author.Balkan, DursunHas files: No

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    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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    A novel approach for determining common weights in two division network DEA: a case study of Science and Technology Parks in Turkey
    (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2022) Ozsoy, Volkan Soner; Belgin, Onder; Balkan, Dursun; Balkan, Dursun; Aksaray University; Turk Hava Kurumu University; Turkish Aeronautical Association
    Data Envelopment Analysis is a popular tool for assessing the relative efficiency of units, treated as a whole unit, without considering the internal structure of decision-making units. In contrast to the conventional models, Network DEA models consider the internal operations of units. In both models, the most favourable weights of the input-output factors for each unit are used. One of the main pitfalls of these models is that they require a set of n different vectors of these weights for the units, thus the factors may not have the same importance for each unit. To overcome this drawback and avoid ignoring some factors, several methods have been proposed to determine a common set of weights (CSWs) of the factors. However, none of the proposed approaches can determine the CSWs in network DEA models. This paper contributes to the existing literature by proposing a novel approach for determining the CSWs based on Entropy Method. Finally, the proposed approach is applied to demonstrate their applicability in both numerical and illustration examples. Moreover, a case of assessment of Science and Technology Parks in Turkey was used for the purpose of illustration.