Browsing by Author "Özbiltekin, Melisa"

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Citation - Scopus: 2
A Framework of Route Selection for Hazardous Goods Transportation in Tunnels
(Springer Science and Business Media Deutschland GmbH, 2020) Ayça Türkmen; Berna Özçınar; Gökay Aydoğdu; Tilbe Adsız; Melisa Ozbiltekin-Pala; Türkmen, Ayça; Aydoğdu, Gökay; Özçınar, Berna; Adsız, Tilbe; Özbiltekin, Melisa; M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
Due to the increase in globalization higher customer expectations and environment volatility supply chains are exposed to risks more easily. Therefore supply chain risk management become a crucial issue for companies and countries in last decades. Supply chain risk management (SCRM) involves all type of risks such as supplier risks locational risks natural risks. Hazardous goods transport is a very destructive type of transport which causes very risky accidents. Hazardous goods transport risks can have serious consequences for the environment property or people. The importance of these substances in daily life and industrialization and the increasing demand for these products are important for minimizing and assessing the risks associated with Dangerous Goods Transportation (DGT). Assets that may be affected by these risks are classified under 5 main criteria in this research. As a result of the Analytic Hierarchy Process (AHP) method it is aimed to help the selection by establishing a risk-based superiority between alternative ways and tunnels while selecting the route in the pilot area. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 5
Measuring Service Quality in the Logistic Sector by Using Servqual and Best Worst Method
(Springer Science and Business Media Deutschland GmbH, 2020) Delfin Kolat; H. Ajlan Kökçü; Mete Kiranli; Melisa Ozbiltekin-Pala; Yucel Yilmaz Ozturkoglu; Ajlan Kökçü, H.; Kiranli, Mete; Kolat, Delfin; Özbiltekin, Melisa; Öztürkoğlu, Yücel; M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
In this study it is aimed to analyze the logistics service quality provided by freight forwarder logistics company in Izmir Turkey. As in every sector competition between companies is increasing day by day in the logistics sector. Therefore all companies in the service sector must provide good and quality service in the face of increasing competition. In addition to the cost factor to attract limited customers in the market logistics companies can also come to the fore with the service quality they offer. The service quality of a business depends on what the customer expects from that service and the extent to which their expectations are met. In the study firstly the expectations of the customers are analyzed from the quality service perspective and secondly the quality of the company which serves for the same quality indicators has been tried to be measured. To achieve these aims service quality (SERVQUAL) method will be used. Also the Best Worst Method (BWM) will be used to find the weight of each logistics service quality dimensions with a mathematical model. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 121
Citation - Scopus: 148
Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer
(PERGAMON-ELSEVIER SCIENCE LTD, 2021) Sachin Kumar Mangla; Yigit Kazancoglu; Esra Ekinci; Mengqi Liu; Melisa Ozbiltekin; Muruvvet Deniz Sezer; Sezer, Muruvvet Deniz; Ekinci, Esra; Özbiltekin, Melisa; Kazancoglu, Yigit; Liu, Mengqi; Mangla, Sachin Kumar
The integration of blockchain technologies in the food sector has significant social impacts. The objectives of this research are firstly to map the milk supply chains to explore information flow among different members for higher traceability, secondly to investigate the societal impacts of blockchain technology in a milk supply chain to build social sustainability. The systems theory in integration with system dynamics (SD) provides the necessary theoretical underpinning to this research. We collect data from an agricultural development cooperative founded to support dairy farmers in Turkey. This work evaluates the societal impacts of blockchain technology on farmers the community and animals using parameters such as local embedding rural development decreasing food fraud animal health and welfare proximity to food markets food security educating and promoting people towards healthy eating assisting food access and social acceptability for transparency. In the last 18 years the cooperative has encouraged dairy farmers in the district to become partners with a resultant increase in milk production from 30 thousand tons in 2002 to 330 thousand tons in 2019. According to our findings population growth of the country and adult population increases in the district it is expected that by 2025 the number of partners will rise to approximately 2800. The increase in number of partners proves the network expansion. Furthermore blockchain technology can be incorporated into the existing system so that transparent and end-to-end accurate tracking of the supply chain is made possible while creating decentralized recording of transactions. Moreover the critical traceability points of a milk supply chain are evaluated with the blockchain adoption. This will help achieve the sustainable development goals (SDGs) of providing safe food promoting good health and better well-being for everyone.