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    A GIS-based DANP-VIKOR approach to evaluate R&D performance of Turkish cities
    (Emerald Group Publishing Ltd, 2019) Ozkan, Baris; Ozceylan, Eren; Korkmaz, Ibrahim Halil; Cetinkaya, Cihan
    Purpose The purpose of this study is to measure the R&D performance of 81 cities in Turkey by using a scientific approach. Design/methodology/approach A four-step solution approach is developed for this problem. In the first step, a hierarchical structure of 14 indicators (including number of patents, publications, R&D expense, etc.) in three dimensions is constructed. In the second step, explicitly and implicitly spatial indicators such as university location and R&D manpower are mapped by using geographic information system (GIS). In the third step, a hybrid multi-criteria decision making model, namely, DANP that combines decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (ANP) techniques is applied to assign different level of importance to the indicators. In the last step, Visekriterijumska Optimizacijai kompromisno Resenje (VIKOR) method is used to rank the performance of 81 cities. Obtained results are visualized using GIS to show the pros and cons of each city in terms of R&D performance. Findings Results of the paper show that Istanbul, Ankara and Konya are ordered as contenders of best R&D performances and on the contrary, Igdir, Sirnak and Tunceli are ordered as the worst R&D performances among 81 cities. Research limitations/implications - One limitation of the study can be the considered criteria. However, all the criteria are obtained from literature and experts; thus, the paper covers as much criteria as possible. Practical implications - The proposed study may allow Ministry of Science, Industry and Technology of Turkey to formulate more effective strategies to improve cities' R&D performance. In addition, any country can apply the same methodology for measuring the R&D performance of their cities by using their related data. As the worst R&D city performances belong to the eastern part of Turkey, it can be deducted that the socio-cultural structure of the eastern part of the country needs improvement. Originality/value To the best of the author's knowledge, this is the first study which applies a GIS-based MCDM approach for R&D performance measurement. Thus, the value of this paper belongs to both literature and real life.
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    A Hybrid Model Based on FAHP and WASPAS for Evaluation of Explosive and Narcotics Trace Detection Devices
    (Springer Science and Business Media Deutschland GmbH, 2022) Ozceylan, Eren; Ozkan, Baris; Cetinkaya, Cihan
    As a result of Industry 4.0, the aviation industry is started to be re-designed with cyber–physical systems, Internet of Things, cloud computing and similar technologies. In Aviation 4.0, where cyber–physical systems are used to assist humans’ unkind work and to complete tasks autonomously, security applications are one of the promising and tight operations that need to be considered. The detection of explosives and narcotics material for the purposes of aviation security is an important area for preventing terrorism and smuggling. For this purpose, there are some novel technologies (devices) in the framework of Aviation 4.0. Evaluation and selection the best device is a multi-criteria decision making (MCDM) problem which includes ambiguities and vagueness. To do so, fuzzy analytic hierarchy process (FAHP) is applied for assigning weights of the attributes and weighted aggregated sum product assessment (WASPAS) method is used to determine the most suitable alternative device for explosive and narcotics trace detection. As a result, three well-known devices in the market are evaluated and the best alternative is suggested. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    An eco-friendly evaluation for locating wheat processing plants: an integrated approach based on interval type-2 fuzzy AHP and COPRAS
    (Springer, 2022) Cetinkaya, Cihan; Ozkan, Baris; Ozceylan, Eren; Haffar, Samer
    Site selection for organizations is a complex and unstructured problem that must be analyzed carefully and properly since a localization error could drive to bankruptcy. This problem has been discussed widely and effectively using multi-criteria decision-making methods in a manufacturing context, but it has been little studied in the agricultural industry. The aim of this study is to proposing a methodological approach to evaluate the fifty states in the United States (US) in terms of wheat processing plant locations. To do so, a literature review is searched to determine the ten sub-criteria under financial, environmental, and spatial dimensions. To overcome the uncertainty of experts' judgment in criteria prioritization, interval type-2 fuzzy (IT2F)-analytic hierarchy process is used. The method of complex proportional assessment of alternatives is used to obtain the final rank of states. The results and verification of the methodology are carried out throughout a sensitivity analysis of the weights. The results of sensitivity analysis indicated that when financial aspects are focused upon, California is the best alternative, followed by Texas and Oklahoma. In addition, from the environmental and spatial perspectives, Vermont and California are the best choices, respectively. The findings of this study can provide useful information to wheat plant decision-makers and serve as a reference for US policy.