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    Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology
    (Springer, 2020) Kaya, Ihsan; Erdogan, Melike; Karasan, Ali; Ozkan, Betul
    Industry 4.0 can be defined as a creative manufacturing concept which is the integration of up-to-date technologies such as wireless systems, cyberphysical systems, Internet of things, cloud computing, big data concept to increase flexibility, and speed in production systems. The concept also aims to transform the manufacturing industry into the next generation. Selection among appropriate strategies for transition to industry 4.0 is crucial and should be considered in a multidimensional perspective since the decision process involves many strategies with respect to multicriteria based on the judgments of multiexperts. In this paper, this critical decision has been considered as a multicriteria decision-making (MCDM) problem under the uncertainty and vagueness environments. To increase the applicability of the uncertain data for the proposed methodology, intuitionistic fuzzy sets have been adopted. In other words, an integrated fuzzy MCDM methodology consists of interval-valued intuitionistic fuzzy analytic hierarchy process and interval-valued intuitionistic fuzzy technique for order performance by similarity to ideal solution has been suggested to prioritize of transition strategies for industry 4.0. According to proposed approach, Training and continuing professional development is determined as the most important strategy during the transition process, while Technology and Equipment and Tools are specified as the most crucial main and sub-criterion, respectively. For the validation process, we also applied two distance-based methods on the same decision matrices as a comparative analysis. Both analyses' results yield that the proposed methodology is applicable and effective for the decision-making process. Besides, the results of the one-at-a-time sensitivity analyses based on the changes of main criteria weights confirm the sensitivity and flexibility of the proposed methodology. Finally, a road map for transition to industry 4.0 has been determined with respect to priorities of strategies based on the constructed context.
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    Real-time location systems selection by using a fuzzy MCDM approach: An application in humanitarian relief logistics
    (Elsevier, 2020) Budak, Aysenur; Kaya, Ihsan; Karasan, Ali; Erdogan, Melike
    The real-time location systems (RTLSs) with different positioning technologies allow real-time and high-precision localization of assets. Since the usage of RTLSs technologies and their population increase, RTLSs technology selection problem that addresses many factors should be considered. Therefore, it is important to determine the performance criteria and evaluation of these technologies should be investigated before RTLSs technology is applied to the system. This paper aims to select the most appropriate RTLSs technology by using a combined fuzzy based decision-making approach. Thus, the first paper for selection of RTLSs systems in a holistic approach by combining benefit and risk factors has been revealed. The developed approach is applied to humanitarian relief logistics warehouse with four alternatives which are given as Ultra-Wide Band, Wi-Fi, UHF RFID and Active RFID for the selection. The proposed approach has been integrated with interval-valued intuitionistic fuzzy (IVIF) sets that allow to deal with fuzziness inherent in decision making processes. For this aim, firstly IVIF DEMATEL is used to determine the inner and outer dependencies of the sub and main criteria; secondly, weights of the sub-criteria are obtained by using IVIF ANP. Finally, the best RTLSs technology to be used in humanitarian logistics warehouse is selected by using IVIF TOPSIS. As a result of the calculations, the best system is determined as the Wi-Fi RTLS'' system based on the given context. By the way, a sensitivity analysis has been also implemented to test and validate the developed methodology. (C) 2020 Elsevier B.V. All rights reserved.
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    A systematic approach to evaluate risks and failures of public transport systems with a real case study for bus rapid system in Istanbul
    (Elsevier, 2020) Erdogan, Melike; Kaya, Ihsan
    Maintenance planning and risk evaluation of public transport systems (PTS) is completely critical and important for the natural structure and ecological balance of the city and its' environment. It is noteworthy to take the correct actions and decisions for the process to make a significant contribution towards the development and ecological sustainability of the city. We also know that failures occurring in PTS leads to personal and social damages such as hazards for passenger life and financial loss that occurs as a result of damage to vehicles due to these failures. Therefore, it is essential to analyze failures of PTS and to improve maintenance planning for obtain a reliable transport system. For this aim, a systematic approach based on maintenance decision support system has been suggested to eliminate the risks arising from failures for Bus Rapid Transit (BRT) system in this paper. The suggested system aims to minimize the harmful effects of these risks with respect to individuals, society and environment perspectives. The proposed integrated systematic approach consists of fuzzy rule based system (FRBS), fuzzy multi criteria decision making (MCDM), stochastic MCDM, mathematical modelling, information theory and heuristic approaches. The mathematical modeling has been applied to evaluate membership functions (MFs) of FRBS and a heuristic approach named particle swarm optimization (PSO) has been also used to solve the problem. Additionally, MCDM methods are also used to prioritize the failures and to determine weights of them. The suggested systematic approach has been applied on a real case study for BRT system in Istanbul and some actions that includes more details and information about risks and failures have been suggested to obtain a more effective maintenance plan. The validity analysis also confirmed the obtained results of the suggested systematic approach.