Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7

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Publisher: search.filters.publisher.Springer Science and Business Media Deutschland GmbHScopus Q: search.filters.scopusQuartile.Q4

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  • Conference Object
    Citation - Scopus: 1
    Cold Chain Logistics Firm Selection by Using Ahp-Vikor Integrated Method and a Case Study in Food Industry
    (Springer Science and Business Media Deutschland GmbH, 2020) Buyukselcuk, E.C.
    With the Industry 4.0, a new trend has started for all sectors and enterprises have entered into a period of intense working and investment to turn into intelligent systems. Cold chain logistics also has the same trend, and companies have pushed the button to be involved in this process. Due to changing lifestyles and generally decreasing prices, the world market for perishable products such as processed foods and cooled products is growing. Cold chain transportation is an important issue in basic food and health product logistics to prevent the growth of harmful microorganisms and to ensure that the products remain intact. In this study, it is aimed to determine the right cold chain logistics firm for company EDB that is a small and medium-sized enterprise (SME) operating in the food industry. Firstly, the selection criteria are defined according to the literature survey and expert views. AHP approach has been used to calculate the weight of them. After the determination of weight of criteria, VIKOR approach has been used to identify the best cold chain logistics firm for company EDB. The results were obtained by using Expert Choice 11.0 and Excel calculator finally the best one has been determined. © 2020, Springer Nature Switzerland AG.
  • Conference Object
    Citation - Scopus: 5
    Using Process Mining Approach for Machining Operations
    (Springer Science and Business Media Deutschland GmbH, 2020) Altan, Z.; Birgün, S.
    In the Industry 4.0 world, both service and manufacturing companies should review their systems and processes, remove any application that causes waste, ensure lean flow and change business models if necessary, in order to fulfill the requirements of this trend. Introducing Industry 4.0 on a problematic system or process might harm it enough to cause the company disappear instead of benefiting it. For applications correctly decided to be built upon a correct system, data flow must be accurate and timely. And at this stage, data amount that increases with process mining and complexity of the big data will be solved and more information will be obtained about real production processes and data. In this study, a prototype is developed using the data of a previously studied manufacturing research. This prototype handles only one phase of the manufacturing process and extracts all the initial possible pathways of this phase through process mining. © 2020, Springer Nature Switzerland AG.