Özbiltekin, Melisa
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Name Variants
Job Title
Dr.Öğr.Üyesi
Email Address
Main Affiliation
01.01.06.03. Lojistik Yönetimi Bölümü
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
1
Research Products
2ZERO HUNGER
4
Research Products
3GOOD HEALTH AND WELL-BEING
2
Research Products
4QUALITY EDUCATION
3
Research Products
5GENDER EQUALITY
0
Research Products
6CLEAN WATER AND SANITATION
0
Research Products
7AFFORDABLE AND CLEAN ENERGY
1
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8DECENT WORK AND ECONOMIC GROWTH
3
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
16
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10REDUCED INEQUALITIES
2
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
12RESPONSIBLE CONSUMPTION AND PRODUCTION
19
Research Products
13CLIMATE ACTION
1
Research Products
14LIFE BELOW WATER
3
Research Products
15LIFE ON LAND
0
Research Products
16PEACE, JUSTICE AND STRONG INSTITUTIONS
1
Research Products
17PARTNERSHIPS FOR THE GOALS
12
Research Products

Documents
47
Citations
1356
h-index
20

Documents
38
Citations
1103

Scholarly Output
46
Articles
35
Views / Downloads
2/3
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
1102
Scopus Citation Count
1372
Patents
0
Projects
0
WoS Citations per Publication
23.96
Scopus Citations per Publication
29.83
Open Access Source
8
Supervised Theses
0
| Journal | Count |
|---|---|
| Journal of Enterprise Information Management | 3 |
| Management of Environmental Quality: An International Journal | 3 |
| Journal of Cleaner Production | 3 |
| 19th International Symposium for Production Research ISPR 2019 | 2 |
| 22nd International Symposium for Production Research ISPR 2022 | 2 |
Current Page: 1 / 7
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46 results
Scholarly Output Search Results
Now showing 1 - 10 of 46
Article Citation - WoS: 48Citation - Scopus: 66Minimizing losses in milk supply chain with sustainability: An example from an emerging economy(Elsevier B.V., 2018) Yigit Kazancoglu; Yeşim Deniz Özkan-Özen; Melisa Ozbiltekin-Pala; Ozkan-Ozen, Yesim Deniz; Ozbiltekin, Melisa; Kazancoglu, YigitFood loss in supply chain is a growing problem due to its environmental social and economic impacts. Especially in emerging economies losses mostly occur in the first stages of the supply chain including agricultural production and postharvest storage. As an emerging economy Turkey also suffers from the food losses in the supply chain. In this study focus is on raw milk losses in the supply chain since livestock and diary sectors are one of the most important sectors in Turkey's economy. Aim of this study is firstly to investigate root causes of raw milk losses in the supply chain and to predict potential raw milk losses. Secondly presenting a sustainable solution according to the results of the prediction and finally achieving environmental social and economic benefits for sustainable raw milk supply chain. Grey Method is used to predict potential losses between 2017–2019 and at the end of the study triple bottom line based sustainable collection center model is suggested for policymakers. © 2018 Elsevier B.V. All rights reserved.Article Citation - WoS: 22Citation - Scopus: 28Investigating the role of stakeholder engagement for more resilient vaccine supply chains during COVID-19(Springer, 2022) Yigit Kazancoglu; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Murat Küçükvar; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kucukvar, Murat; Kazancoglu, YigitThe complexity of the supply chains and the uncertainties in the processes cause business to become more vulnerable in the face of disruptions. Pandemic situations such as COVID-19 cause sudden disruptions in supply chains causing processes to be disrupted. Especially in multi-stakeholder supply chains the importance of stakeholder communication motivation and regulations i.e. comes to the forefront in order to ensure the resilience of supply chains. As learned with the COVID-19 pandemic vaccine supply chains are also one of the multi-stakeholder supply chains and are extremely vulnerable to disruptions. In COVID-19 times the importance of vaccine supply chain management and the resilience in vaccine supply chains increased. To have more resilient vaccine supply chains stakeholder engagement is an essential issue. Therefore the Graph Theory Matrix Approach has been used to determine factors of stakeholder engagement in multi-stakeholder vaccine supply chains and to specify the relationships between the factors of project and stakeholder engagement in vaccine supply chains to increase resilience in disruption times. The aim of the study is to identify the factors of project and stakeholder engagement that are necessary to ensure the resilience of multi-stakeholder vaccine supply chains and not be affected by disruptions such as COVID-19 as it is today. As a result of the study innovativeness of stakeholders is the most important factor of stakeholder engagement in vaccine supply chains. © 2023 Elsevier B.V. All rights reserved.Article Citation - WoS: 14Citation - Scopus: 16Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach(SPRINGER, 2023) Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Jose Arturo Garza-Reyes; Anil Kumar; Vikas Kumar; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Garza-Reyes, Jose Arturo; Kumar, Anil; Kazancoglu, Yigit; Kumar, VikasNowadays providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid population growth globalisation and increases in demand in the supply chain. Knowledge-based supply chains have a critical role in increasing resilience in supply chain processes with emerging technologies. Thus it is necessary to determine the critical factors that increase SC resilience. Therefore this study aims to determine SC resilience improvement factors in knowledge-based supply chains and investigate the importance level of determining factors using the Graph Theory Matrix Approach. The results suggest that the most important supply chain resilience improvement factor is Adaptive Capacity (F3) followed by Product Prioritization (F9) and Flexibility (F1) respectively. This study is expected to benefit managers and policymakers as it provides a better understanding of critical SC resilience improvement factors that play a role in knowledge-based supply chains. In order to increase resilience in the supply chain system thinking and solutions should be encouraged by businesses to increase collaboration with stakeholders. Businesses and governments should provide collaborative long-term solutions for the uncertain environment to ensure a sustainable and resilient environment.Article Citation - WoS: 8Citation - Scopus: 9Drivers and barriers of unmanned aerial vehicles in emergency logistics operations(Elsevier Ltd, 2025) Melisa Ozbiltekin-Pala; Volkan Yavas; Yeşim Deniz Özkan-Özen; Ozbiltekin-Pala, Melisa; Ozkan-Ozen, Yesim Deniz; Yavas, VolkanUnmanned Aerial Vehicles (UAVs) which have become increasingly widespread stand out as accessible cost-effective useful and efficient options for many different tasks such as search and rescue monitoring tracking mapping and dispatch in emergency logistics operations. However in this process driving forces and obstacles determine the status of UAVs in disaster management. In this study in order to identify these factors 8 drivers and 8 barriers created as a result of the literature review were analyzed using the Graph Theory Matrix Approach method. According to the findings obtained the most important drivers of UAVs in emergency logistics operations are high-tech solutions followed by air surveillance and mapping. The most important barrier is instability against various weather conditions and regulators. Stakeholders of emergency logistics operations optimally interpret drivers and barriers in the involvement of UAVs and contribute to economic technical or legal corrective actions. © 2025 Elsevier B.V. All rights reserved.Article Citation - WoS: 39Citation - Scopus: 51Resilient reverse logistics with blockchain technology in sustainable food supply chain management during COVID-19(John Wiley and Sons Ltd, 2023) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Sunil Luthra; Anil Kumar; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Luthra, Sunil; Kumar, Anil; Kazancoglu, YigitCOVID-19 which is a global problem affects the all supply chains throughout the world. One of the supply chains most affected by COVID-19 is food supply chains. Since the sustainable food supply chain processes are complex and vulnerable in terms of product variety it has been negatively affected by the operational effects of COVID-19. While the problems experienced in the supply chain processes and raw material constraints caused stops in production the importance of new business models and production approaches came to the fore. One of the issues of increasing importance is the adoption of reverse logistics activities in sustainable food supply chains and increasing the resilience of food supply chains by integrating blockchain technology into processes. However adapting blockchain technology to increase the resilience of reverse logistics activities in the food supply chain has advantages as well as risks that need to be considered. Therefore it is aimed to determine these risks by using fuzzy synthetic evaluation method for eliminating the risks of blockchain adaptation for flexible reverse logistics in food supply chains to increase resiliency. The novelty of this study is that besides discussing about the benefits of BC-T it is to identify the risks it can create to eliminate these risks and to guide the establishment of resilience in reverse logistics activities of SFSCs. According to results the risks with the highest value among the subrisks are determined as data security risks. Data management risks are calculated as the risk with the highest value. © 2023 Elsevier B.V. All rights reserved.Conference Object Citation - Scopus: 2A 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. GençyilmazDue 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.Article Citation - WoS: 8Citation - Scopus: 8Managing the risks against carbon neutralization for green maritime transport(ELSEVIER SCI LTD, 2024) Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Stavros Karamperidis; Mangey Ram; Ozbiltekin-Pala, Melisa; Ram, Mangey; Karamperidis, Stavros; Kazancoglu, YigitMaritime transport plays a vital role in global trade. With low transport costs and high service reliability approximately 80% of products are transported by sea. The international nature of maritime transport supports globalized production and consumption patterns. As a result maritime transport is uniquely influenced by the convergence of environmental geopolitical and social factors. One of the environmental factors linked to maritime transport is emissions. Although many steps have been taken to reduce emissions within the scope of carbon neutrality by implementing new technologies and policies the volume of emissions produced in maritime transport is still relatively high and threatens global sustainability. This research attempts to estimate the volume of carbon emissions produced by international shipping using the Simple Exponential Smoothing method. After highlighting the situation this research aims to determine the risks that cause carbon emissions and which should be prioritized using the Graph Theory and Matrix Approach. This approach draws attention to the fact that a scientific basis has remained in the background. This study emphasizes the scientific basis of the method used to estimate carbon emissions ensuring that geopolitical and social risks are taken into account as well as environmental factors. Thus it offers a more comprehensive perspective to help managers and decision-makers in developing emission reduction strategies contributing to the greening of maritime transport.Book Part A SCOR-Based Framework for Applying Digital Transformation Technologies in Supply Chain Strategic Decisions(Springer, 2026) Ozbiltekin-Pala, MelisaBook Part Disruptive Technologies and Sustainable Development Goals in Supply Chains(Springer Nature, 2025) Özbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kazancoglu, YiğitArticle Citation - WoS: 35Citation - Scopus: 25A 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, YiğitFood 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.

