Yazar "Karasan, Ali" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • Küçük Resim
    Öğe
    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.
  • Küçük Resim
    Öğe
    Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant
    (Springer Heidelberg, 2021) Karasan, Ali; Erdogan, Melike
    Applying risk assessment approaches to improve quality in enterprises is of great importance especially for sectors that are labor-intensive and thus frequently encountered failures. One of the methods frequently used to take precautions against failures caused by high variability in this type of sector is failure mode and effects analysis (FMEA). In this study, a hybrid FMEA approach is proposed so as to take measures against failures in the textile sector where there are high-quality differences due to its structure and failures frequently occurred. Since the different combinations of risk parameters' scores may produce the same risk degree based on the function of the FMEA's basis, misleading results for the risk analysis in the practical risk management can be occurred. Moreover, the risk priority number (RPN) function has a limitation in the weight determining process, since it assigns the equal weight for each risk parameter in the classical FMEA. To overcome these shortcomings in the RPN calculation for the risks in the FMEA approach, a multi-criteria decision-making (MCDM) approach is applied under the framework of fuzzy logic. Through that, in this study, we aimed to prove an expert system based on the rules that specifically focusing on the risk sources of the woven fabric industry. To create such a rule-based system, inputs are generated using fuzzy AHP and modified fuzzy TOPSIS. A case study is carried out with the method proposed in a textile mill, and it is determined which risks arising from failures are higher. For the validation of the results, a comparative analysis is conducted. Moreover, for the robustness of the decisions, one-at-a-time sensitivity analysis with respect to different scenarios are applied. As a result of the analyses, it is shown that our proposed model can be used as an efficient proactive risk calculator for the managers or researchers to make useful inferences, judgments, and decisions of the production processes for eliminating the shortcomings of the traditional FMEA.
  • Küçük Resim
    Öğe
    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.