Browsing by Author "Pala, Melisa Özbiltekin"

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Citation - WoS: 35
Citation - Scopus: 25
A circular food supply chain network model to reduce food waste
(Springer, 2022) Ozgur Kabadurmus; Yigit Kazancoglu; Damla Yüksel; Melisa Ozbiltekin-Pala; Yüksel, Damla; Pala, Melisa Özbiltekin; Kabadurmus, Ozgur; Kazançoğlu, Yiğit
Food loss and waste (FLW) is a growing global problem throughout the world. The rapid increase in food waste and deficiencies in treatment processes have led to greater harm to the environment. A circular food supply chain (FSC) is now an essential means of encouraging circular economy. Proper food waste treatment and recycling operations can not only benefit the environment but these wastes can also be used as raw material for production in a circular economy. In this study a circular food supply chain network model is designed to reduce the food waste generated in the circular food supply chain systems of municipalities. Then a mixed-integer linear programming model is generated to model the proposed circular food supply chain network model. The MILP model is a network model aimed at reducing the food waste generated. To do so two objectives are considered: the overall cost of the network is minimized and the amount of distributed food waste from the generation nodes to the end nodes is maximized. Due to the bi-objective nature of the proposed mathematical model the Improved Augmented Epsilon Constraint method (AUGMECON2) is implemented to solve the problem optimally. To illustrate the applicability and effectiveness of the proposed mathematical model two real-life case studies were carried out in Izmir the third largest city in Turkey. The computational results demonstrate that the proposed model is beneficial for both small and large municipalities since it provides the Pareto-optimal set where the total amount of distributed food waste is maximized and the total cost is minimized. © 2022 Elsevier B.V. All rights reserved.
E-Waste and Reverse Logistics: Forecasting and Cause and Effect Analysis for an Emerging Economy
(2020) Pala, Melisa Özbiltekin; Kazançoğlu, Yiğit
Reverse logistics activities based on circular economy perspective including recycling, reuse, remanufacturing, and reconditioning gain more attention. Moreover, circular economy is an essential approach for waste management, and it provides economic, environmental and social benefits. Recently, with the changing technology and increasing population, the usage times of electrical and electronic products are also shortening and the inability to adapt these products to the circular economy causes electronic waste generation especially in emerging economies because reverse logistics activities based on circular economy cannot be carried out effectively due to the shortcomings experienced and the fact that wastes that can be utilized become garbage. For this purpose, the thesis is structured around mobile phones which the most emerging electronic waste in Turkey. First of all, the future state analysis of electronic wastes in Turkey is made to show the electronic waste increase status with Grey Prediction method as a case study. After that, the challenges affecting the recycling of electronic waste especially mobile phones are gathered under 7 main headings such as ecological, social, economic, infrastructural and technological, legal, managerial and business, supply chain management dimensions with 25 criteria totally. These challenges are analysed by 8 experts with the implementation of Fuzzy DEMATEL. It is aimed to create a road map for companies and governments based on sustainable and circular solutions by researching the reasons that affect the recycling of mobile phones. This way, it has been determined that legal deficiencies generally affect the recycling process of electronic waste. Accordingly, problems such as environmental pollution, damage to human health, and valuable waste that could not be recycled to the economy have been identified. Keywords: Circular Economy, Reverse Logistics, E-Waste
Lean Warehouse Application in a Meat Producer Company
(Springer Science and Business Media Deutschland GmbH, 2021) Aysu Aksütoğlu; Egemen Bıkmaz; Nazlı Ecem Sırkıntı; Melisa Ozbiltekin-Pala; Esra Ekinci; Bıkmaz, Egemen; Aksütoğlu, Aysu; Pala, Melisa Özbiltekin; Ekinci, Esra; Sırkıntı, Nazlı Ecem; N.M. Durakbasa , M.G. Gençyılmaz
This study aims to determine the necessary processes to improve warehouse operations using lean principles while considering important criteria of efficient warehouse management in a meat producer company. In order to identify problem areas Spaghetti Diagram has been prepared and company warehouse operations have been analyzed. In the company problems observed in warehouse operations are mainly unnecessary handling and layout problems in the warehouse. In order to handle the problems Value Stream Mapping and Multi-Criteria ABC Analysis methods have been employed. With the help of Value Stream Mapping lean principles can be adopted in the warehouse operations. On the other hand Multi-criteria ABC analysis can guide the company in product placements in the correct location. At the end of this study suggestions have been proposed for the company to reduce wastes improve several processes in the warehouse. © 2020 Elsevier B.V. All rights reserved.