Browsing by Author "Sezer, Muruvvet Deniz"

Now showing 1 - 20 of 29

Citation - WoS: 48
Citation - Scopus: 69
A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions
(Elsevier Inc., 2021) Yigit Kazancoglu; Muhittin Saǧnak; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Sezer, Muruvvet Deniz; Pala, Melisa Ozbiltekin; Kazancoglu, Yigit; Sagnak, Muhittin; Mangla, Sachin Kumar
This study determines the potential barriers to achieving circularity in dairy supply chains, it proposes a framework which covers big data driven solutions to deal with the suggested barriers. The main contribution of the study is to propose a framework by making ideal matching and ranking of big data solutions to barriers to circularity in dairy supply chains. This framework further offers a specific roadmap as a practical contribution while investigating companies with restricted resources. In this study the main barriers are classified as ‘economic’ ‘environmental’ ‘social and legal’ ‘technological’ ‘supply chain management’ and ‘strategic’ with twenty-seven sub-barriers. Various big data solutions such as machine learning optimization data mining cloud computing artificial neural network statistical techniques and social network analysis have been suggested. Big data solutions are matched with circularity focused barriers to show which solutions succeed in overcoming barriers. A hybrid decision framework based on the fuzzy ANP and the fuzzy VIKOR is developed to find the weights of the barriers and to rank the big data driven solutions. The results indicate that among the main barriers ‘economic’ was of the highest importance followed by ‘technological’ ‘environmental’ ‘strategic’ ‘supply chain management’ then ‘social and legal barrier’ in dairy supply chains. In order to overcome circularity focused barriers ‘optimization’ is determined to be the most important big data solution. The other solutions to overcoming proposed challenges are ‘data mining’ ‘machine learning’ ‘statistical techniques’ and ‘artificial neural network’ respectively. The suggested big data solutions will be useful for policy makers and managers to deal with potential barriers in implementing circularity in the context of dairy supply chains. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 48
Citation - Scopus: 61
A Green Dual-Channel Closed-Loop Supply Chain Network Design Model
(ELSEVIER SCI LTD, 2022) Yigit Kazancoglu; Damla Yuksel; Muruvvet Deniz Sezer; Sachin Kumar Mangla; Lianlian Hua; Yuksel, Damla; Sezer, Muruvvet Deniz; Hua, Lianlian; Kazancoglu, Yigit; Mangla, Sachin Kumar
Environmental considerations have become a significant issue in the design of supply chain networks due to today's increasing globalization trends. Therefore supply chain network design needs to be managed in an efficient way to deal with the complex networks involved. The aim of this article is to present a multi-objective optimization model for a green dual-channel supply chain network that handles economic and environmental objectives to optimize network flow. A complex mixed-integer linear programming model (MILP) has been proposed in a green dual-channel and closed-loop supply chain (CLSC) network design. The main objective of the generated MILP model is to investigate the optimal selection of echelons and the optimal selection of transportation alternatives between these echelons in a CLSC network that includes an e-commerce channel structure based on economic and environmental considerations. Environmental aims are achieved by decreasing CO2 emissions and by reducing PM (particulate matter) concentration throughout the network. In addition economic aims are also met by minimizing the overall cost. The validity of the presented model is supported by a case study in the home appliances industry. The results indicate that this model provides valuable knowledge and various alternatives to managers and policymakers depending on the different weight combinations.
Citation - WoS: 3
Citation - Scopus: 4
Analysing of the territorial competitiveness index in Izmir through dynamic model
(Elsevier Ltd, 2024) Muruvvet Deniz Sezer; Yigit Kazancoglu; Sachin Kumar Kumar Mangla; Sezer, Muruvvet Deniz; Kazancoglu, Yigit; Mangla, Sachin Kumar
Transition towards more sustainable and resilient economies is crucial to provide sustainable economic development by considering environmental protection and social well-being. There is an increasing focus on the concept of territorial competitiveness that encompasses the aspects of environmental social and economic sustainability. Thus this study aims to analyse the factors affecting the territorial competitiveness index in the Izmir town. To facilitate a comprehensive analysis of the factors that impact territorial competitiveness a systematic approach is employed through the use of a system dynamic model. This model enables the exploration of the complex and dynamic relationships between key parameters providing insights into their interdependencies and how they cooperatively influence the territorial competitiveness index. The results show that Gross Domestic Product growth rate renewable energy production and technology innovation index is increased rapidly. This increase caused by development of social well-being in the region. However sustainable land use and waste is decreased and therefore CO2 is increased in the 2010 and 2027. Besides territorial competitiveness index is expected to increase till 2027 since subsidies in energy and material (re)use efficient use of resources (circular economy) achievement of economic development and technological investments. Governments and businesses should adopt sustainable strategies for improving territorial competitiveness index and balancing economic growth with environmental protection and social welfare in the regional context. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 7
Analysis of Product Sustainability by Using a Risk-Oriented System Dynamics Model
(WILEY-V C H VERLAG GMBH, 2021) Muruvvet Deniz Sezer; Hasan Selim; Sezer, Muruvvet Deniz; Selim, Hasan
Measuring product sustainability plays a significant role to gain competitive advantage. Nevertheless while achieving sustainable products all related risks associated with sustainability should be considered. Previous studies are limited by the lack of the dynamic and multidimensional approaches. However as the decision-making environment is constantly changing in the real world a dynamic decision-making approach is required. The aim of this study is to develop a dynamic and risk-driven approach to investigate the product sustainability risks. The proposed approach considers all the related risks and interactions with a holistic view covering environmental economic and social sustainability. To deal with the dynamic and multidimensional nature of product sustainability system dynamics is proposed. The results show that increasing the production capacity of the company and maintaining the production emphasizing innovation have led to improvements on both product sustainability and the main dimensions of sustainability. The realization of Industry 14.0 applications can be an effective strategy for the business to increase product sustainability. This study is supported with a case study implemented in the manufacturing industry to confirm the applicability of the model. This paper is useful for industry and policy makers to observe the potentials impacts of products sustainability risks.
Citation - WoS: 93
Citation - Scopus: 152
Analyzing Barriers of Circular Food Supply Chains and Proposing Industry 4.0 Solutions
(MDPI, 2021) Nesrin Ada; Yigit Kazancoglu; Muruvvet Deniz Sezer; Cigdem Ede-Senturk; Idil Ozer; Mangey Ram; Ozer, Idil; Sezer, Muruvvet Deniz; Ram, Mangey; Ede-Senturk, Cigdem; Kazancoglu, Yigit; Ada, Nesrin
The concept of the circular economy (CE) has gained importance worldwide recently since it offers a wider perspective in terms of promoting sustainable production and consumption with limited resources. However few studies have investigated the barriers to CE in circular food supply chains. Accordingly this paper presents a systematic literature review of 136 papers from 2010 to 2020 from WOS and Scopus databases regarding these barriers to understand CE implementation in food supply chains. The barriers are classified under seven categories: cultural business and business finance regulatory and governmental technological managerial supply-chain management knowledge and skills. The findings show the need to identify barriers preventing the transition to CE. The findings also indicate that these challenges to CE can be overcome through Industry 4.0 which includes a variety of technologies such as the Internet of Things (IoT) cloud technologies machine learning and blockchain. Specifically machine learning can offer support by making workflows more efficient through the forecasting and analytical capabilities of food supply chains. Blockchain and big data analytics can provide the necessary support to establish legal systems and improve environmental regulations since transparency is a crucial issue for taxation and incentives systems. Thus CE can be promoted via adequate laws policies and innovative technologies.
Citation - WoS: 17
Citation - Scopus: 21
Assessing the Impact of COVID-19 on Sustainable Food Supply Chains
(MDPI, 2022) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Banu Y. Ekren; Vikas Kumar; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kazancoglu, Yigit; Kumar, Vikas; Ekren, Banu Y.
Recently it has become an important issue to ensure sustainability especially in food supply chains against the rapidly growing population increasing demand and sudden disruptions caused by uncertain times such as that caused by COVID-19. Since food supply chains has vulnerable products and processes it is critical to understand the sustainability factors of food supply chains especially in uncertain times such during the COVID-19 pandemic. This study aims to determine sustainability factors of food supply chains. An Interpretive Structural Modelling method is used to state the relations between sustainability factors of food supply chains. As a result of the study Information Sharing and Managerial Approaches are classified as driving factors, Food Safety and Security Know-How Transfer Logistics Networking Risk Mitigation Employee Commitment Innovation Traceability and Responsiveness are categorized as linkage factors. This article will be beneficial for managers in helping them develop sustainable food supply chains during uncertain times by focusing on traceability information sharing know-how transfer food safety and security.
Citation - WoS: 17
Citation - Scopus: 23
Building sustainable resilient supply chain in retail sector under disruption
(Elsevier Ltd, 2024) Esra Ekinci; Muruvvet Deniz Sezer; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Sezer, Muruvvet Deniz; Ekinci, Esra; Mangla, Sachin Kumar; Kazancoglu, Yigit
Blockchain technologies have played a crucial role in transforming the retail industry leading to remarkable advancements in recent times. Its pivotal role in managing risky environments by offering preventive and proactive measures cannot be overstated. The research contribution lies in introducing a set of criteria for assessing the adoption of Blockchain technology specifically designed to evaluate the resilience of the retail sector. This study aims to ensure the establishment of a sustainable resilient supply chain across diverse retail categories particularly in the face of uncertain circumstances. A hybrid decision-making approach that combines the Best-Worst Method (BWM) and Fuzzy TODIM has been employed to achieve these objectives. This study encompasses various types of retail companies to assess and compare their resilience levels by adopting Blockchain technology. The results of this study robustly suggest that speciality retailers with well-established long-term partnerships are more predisposed to embrace and leverage the capabilities of Blockchain technologies. Conversely discount retailers in Turkey face various challenges that impede their effective integration of Blockchain technologies. These challenges encompass collaborating with suppliers on short-term agreements and the unavailability of product tracking among other factors. As a result the outcomes of this study offer valuable insights for retailers in the sector suggesting that they should consider modifying their operational strategies to better align with the adoption and integration of Blockchain technologies in the future. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 29
Citation - Scopus: 33
Circular dairy supply chain management through Internet of Things-enabled technologies
(Springer Science and Business Media Deutschland GmbH, 2022) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Anil Kumar; Sunil Luthra; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kumar, Anil; Luthra, Sunil; Kazancoglu, Yigit
Internet of Things-enabled technologies help to collect data and make it understandable especially in supply chain processes thus minimizing the problems that may arise in supply chains. It is extremely important to support this process with Internet of Things-enabled technologies especially in supply chains that are vulnerable to disruptions such as the dairy supply chain. Moreover dairy supply chains are the type of supply chains where the most waste is generated, evaluating this waste is very beneficial to the circular economy. Therefore monitoring data in dairy supply chains and using Internet of Things-enabled technologies prevent losses, it is critical to have Internet of Things-enabled circular dairy supply chains in operation. The aim of this study is to determine the success factors of Internet of Things-enabled circular dairy supply chains based on the various stages of these chains, we hope to match each dairy supply chain stage with a success factor of Internet of Things-enabled technology and determine a ranking for these factors. Hence six success factors of Internet of Things-enabled circular supply chains are weighted for each stage of the chain, Internet of Things-enabled digital technologies are then matched with each stage of the chain and the success factor is determined. The ranking of factors can then be drawn up through the integration of Step Wise Weight Assessment Ratio Analysis (SWARA) and Technique for Order Preference Similar to Ideal Solution (TOPSIS). The outcome of this study will provide managers and policy makers with insights into Internet of Things-enabled circular dairy supply chains. © 2021 Elsevier B.V. All rights reserved.
Cornell Kas-İskelet Rahatsızlık Anketi ve Lojistik Regresyon Kullanarak Kas-İskelet Rahatsızlıkları Kaynaklı Üretim Çalışanı Devamsızlıklarının Azaltılması
(2021) Duygu İnci; Muruvvet Deniz Sezer; Bengü Güngör; Pırıl Ergönenç; Sezer, Muruvvet Deniz; İnci, Duygu; Ergönenç, Pırıl; Güngör, Bengü
Günümüzde aşırı yüklenmiş işgücüne bağlı olarak çalışma ortamında insan motivasyonunu ve sağlığını etkileyebilecek zorluklar gitgide artmaktadır. Artan rekabet ortamının beraberinde getirdiği yoğun üretim faaliyetleri özellikle üretim çalışanlarında kas-iskelet sistemi rahatsızlıklarının daha fazla meydana gelmesine neden olmaktadır. Bu nedenle bu çalışma kapsamında otomotiv endüstrisinde faaliyet gösteren bir yan sanayi kuruluşunda talaşlı üretim sırasında meydana gelen kas-iskelet sistemi kaynaklı işe devamsızlıkların azaltılması için ergonomi analizi çalışması yapılması hedeflenmiştir. İlk olarak ergonomik olmayan çalışma koşulları firma içindeki proje ekibi çalışanlarının katıldığı çalıştay sonucunda belirlenmiştir. Belirlenen bu koşullar yapılacak olan analizin bağımsız değişkenlerini olarak tanımlanmıştır. Bağımlı değişken olarak adlandırılan bölgesel ağrı durumu üzerinde bağımsız değişkenlerin etkisinin analizi için veri toplama aracı olarak Cornell Üniversitesi tarafından geliştirilen “Kas-İskelet Sistemi Rahatsızlık Anketi” kullanılmıştır. Veri analizi kısmında ise bağımsız değişkenlerin bölgesel ağrı durumu üzerindeki etkileri Lojistik Regresyon Analizi ile IBM SPSS Statistics 25.0 programı aracılığıyla gözlemlenmiştir. İstatistiksel analizden sonra analiz çıktılarının validasyonu firmanın ilgili ekibinde yer alan çalışanların görüşleri alınarak sağlanmıştır. Çalışmanın uygulama aşamasında firma üretim çalışanlarının kas-iskelet sistemi kaynaklı devamsızlıklarında karşı önlemler alarak düşüş sağlamayı hedeflemektedir.
Disruptive Technologies and Sustainable Development Goals in Supply Chains
(Springer Nature, 2025) Özbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kazancoglu, Yiğit
Citation - WoS: 68
Citation - Scopus: 79
Drivers of implementing Big Data Analytics in food supply chains for transition to a circular economy and sustainable operations management
(Emerald Publishing, 2025) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Sunil Luthra; Anil Kumar; Sezer, Muruvvet Deniz; Pala, Melisa Ozbiltekin; Luthra, Sunil; Kumar, Anil; Kazancoglu, Yigit; Ozbiltekin Pala, Melisa
Purpose: The aim of this study is to evaluate Big Data Analytics (BDA) drivers in the context of food supply chains (FSC) for transition to a Circular Economy (CE) and Sustainable Operations Management (SOM). Design/methodology/approach: Ten different BDA drivers in FSC are examined for transition to CE, these are Supply Chains (SC) Visibility Operations Efficiency Information Management and Technology Collaborations between SC partners Data-driven innovation Demand management and Production Planning Talent Management Organizational Commitment Management Team Capability and Governmental Incentive. An interpretive structural modelling (ISM) methodology is used to indicate the relationships between identified drivers to stimulate transition to CE and SOM. Drivers and pair-wise interactions between these drivers are developed by semi-structured interviews with a number of experts from industry and academia. Findings: The results show that Information Management and Technology Governmental Incentive and Management Team Capability drivers are classified as independent factors, Organizational Commitment and Operations Efficiency are categorized as dependent factors. SC Visibility Data-driven innovation Demand management and Production Planning Talent Management and Collaborations between SC partners can be classified as linkage factors. It can be concluded that Governmental Incentive is the most fundamental driver to achieve BDA applications in FSC transition from linearity to CE and SOM. In addition Operations Efficiency Collaborations between SC partners and Organizational Commitment are key BDA drivers in FSC for transition to CE and SOM. Research limitations/implications: The interactions between these drivers will provide benefits to both industry and academia in prioritizing and understanding these drivers more thoroughly when implementing BDA based on a range of factors. This study will provide valuable insights. The results from this study will help in drawing up regulations to prevent food fraud implementing laws concerning government incentives reducing food loss and waste increasing tracing and traceability providing training activities to improve knowledge about BDA and focusing more on data analytics. Originality/value: The main contribution of the study is to analyze BDA drivers in the context of FSC for transition to CE and SOM. This study is unique in examining these BDA drivers based on FSC. We hope to find sustainable solutions to minimize losses or other negative impacts on these SC. © 2025 Elsevier B.V. All rights reserved.
Enablers of Sustainable Knowledge Management in Higher Education Institutions: A Case from Turkey
(SPRINGER INTERNATIONAL PUBLISHING AG, 2023) Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Yesim Deniz Ozkan-Ozen; Yigit Kazancoglu; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Ozkan-Ozen, Yesim Deniz; Kazancoglu, Yigit; V Koval; Y Kazancoglu; ES Lakatos
The amount of information that emerges with the rapidly developing technology is increasing daily revealing the need for knowledge management. Knowledge management updates the ever-increasing information capacity in organizations makes the information available defines the processes necessary to reach the required information and enables the knowledge needed to be shared. Especially in higher education institutions sustainable knowledge management is essential for developing a long-term sustainable culture. Therefore this study aims to determine the enablers of sustainable knowledge management in higher education institutions. As a result fostering sustainable learning is determined as the best criterion for the case of higher education institutors.
Citation - WoS: 27
Citation - Scopus: 34
Evaluating resilience in food supply chains during COVID-19
(Taylor and Francis Ltd., 2024) Yigit Kazancoglu; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Çisem Lafci; P. R.S. Sarma; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Lafci, Cisem; Kazancoglu, Yigit; Sarma, P. R. S.
The COVID-19 outbreak has revealed weaknesses in the supply chains (SCs) and how easily it can be influenced by these disruptions. Food supply chains (FSCs) is one of the most affected SCs and it needs to be more resilient against SC disruptions because their vulnerable structure such as having perishable products. Therefore this article aims to uncover the need for resilience in FSCs during the COVID-19 outbreak. For this purpose the enablers of resilience on FSCs are determined after a detailed examination of the current literature. Then the graph theory matrix approach has been used to reveal the relationships between these enablers and investigate importance of enablers of resilience in FSCs during COVID-19 outbreak. It is significant to determine preference of enablers and rank of importance to take actions effectively. Depending on the results the rank orders of the enablers are classified as readiness collaboration with stakeholders IT alignment risk aware responsiveness flexibility appearance and sustainability respectively. Suggested implications can be provided benefits for policymakers and managers in FSCs. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Gamification in museum tourism
(ROUTLEDGE, 2024) Ige Pirnar; Duygu Celebi; Muruvvet Deniz Sezer; Sezer, Muruvvet Deniz; Pirnar, Ige; Celebi, Duygu; AM Morrison; D Buhalis
Citation - WoS: 31
Citation - Scopus: 35
Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China
(Elsevier Ltd, 2023) Yigit Kazancoglu; Esra Ekinci; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar
COVID-19 has negative impacts on supply chain operations between countries. The novelty of the study is to evaluate the sectoral effects of COVID-19 on global supply chains in the example of Turkey and China considering detailed parameters thanks to the developed System Dynamics (SD) model. During COVID-19 spread most of the countries decided long period of lockdowns which impacted the production and supply chains. This had also caused decrease in capacity utilizations and industrial productions in many countries which resulted with imbalance of maritime trade between countries that increased the freight costs. In this study cause and effect relations of trade parameters supply chain parameters demographic data and logistics data on disruptions of global supply chains have been depicted for specifically Turkey and China since China is the biggest importer of Turkey. Due to this disruption mainly exports from Turkey to China has been impacted in food chemical and mining sectors. This study is helpful to plan in which sectors, the actions should be taken by the government bodies or managers. Based on findings of this study new policies such as onshore activities should consider to overcome the logistics and supply chain disruptions in global supply chains. This study has been presented beneficial implications for the government policymakers and academia. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 53
Citation - Scopus: 65
Industry 4.0 impacts on responsible environmental and societal management in the family business
(Elsevier Inc., 2021) Yigit Kazancoglu; Muruvvet Deniz Sezer; Yeşim Deniz Özkan-Özen; Sachin Kumar Kumar Mangla; Ajay Vinod Kumar; Sezer, Muruvvet Deniz; Kumar, Ajay; Ozkan-Ozen, Yesim Deniz; Kazancoglu, Yigit; Mangla, Sachin Kumar
Technological innovations are critical for businesses to sustain a competitive advantage in an increasingly competitive globalised environment. Amongst other advances Industry 4.0 (I4.0) technologies are having a growing impact on society, they have become a significant part of family business resources to create more sustainable environments and exploit new opportunities. However few studies have analysed the impacts of I4.0 on responsible environmental management and society in the context of a family business. To take a step toward filling this gap this study has employed a system dynamics model to evaluate the impacts of I4.0 on the clean production processes of family businesses in an emerging economy and to describe I4.0 practices on determinants of ethical behaviour and environmental management. Implementation is conducted in the packaging sector to analyse the impacts of I4.0 on CO2 emissions total packaging waste recovery and societal responsibilities on family businesses in Turkey. The results show that ethical business development contributes toward enhancing corporate social responsibility and environmental management systems in an I4.0 context. The findings can inform the efforts of managers governments and decision-makers to analyse and manage the societal and environmental impacts of their activities to create a more sustainable environment for family businesses. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 9
INVESTIGATING THE KEY DRIVERS IN THE TRANSITION TO SUSTAINABLE HYDROGEN TRANSPORTATION FUEL
(Dr. Viktor Koval, 2024) Muruvvet Deniz Sezer; Erhan Ada; Yigit Kazancoglu; Sezer, Muruvvet Deniz; Ada, Erhan; Kazancoglu, Yigit
Introduction. . Hydrogen is a promising energy carrier that can achieve net-zero carbon emissions and decrease fossil fuel dependency. However the importance of the driving forces in hydrogen adaptation and acceptance during the transition to this technology should be emphasised. When assessing hydrogen as a sustainable transportation fuel defining the success criteria is vital to comprehend the benefits of hydrogen in the transition process. The transport sector is a priority area for the transition to zero emissions which requires an understanding of the links between the key drivers of hydrogen adoption in transportation. Aim and tasks. . This study aims to identify the key drivers of the hydrogen transition and explore the relationship between the transition drivers to hydrogen as a sustainable transport fuel based on a comprehensive literature review and an interpretative structural modelling approach to determine the relationship between the above-mentioned key drivers. Results. . This study identified key drivers for the transition to hydrogen as a sustainable transport fuel using the Interpretive Structural Modelling (ISM) approach. This study examines the potential of hydrogen transition analyses the driving forces and examines their interrelationships in terms of driving force and dependent force. The role of technological development and transition awareness in achieving the SDGs is revealed. Robust regulatory agendas and supportive strategies Workforce development and training based on hydrogen deployment and Industry partnerships and collaboration are the most fundamental drivers for achieving the transition to hydrogen as a sustainable transport fuel. In addition the advancement of hydrogen technologies in production storage and transportation as well as hydrogen production and use aligns with environmental aims which are key factors that depend mainly on the actions of other driving forces. However the limitations of this study include subjectivity and potential differences in the driving forces across countries and sectors. Conclusions. . The deployment of green hydrogen transition for a clean energy source is critical in carbon- intensive sectors of the economy which are characterised by key drivers and their interlinkages such as regulatory strategies workforce development and industry partnerships. This has increased the flexibility of energy systems with the collaboration of the stakeholders for developing hydrogen technologies and infrastructure considering the environmental safety economic efficiency and social acceptability of hydrogen.
Citation - WoS: 14
Citation - Scopus: 16
Investigating 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, Vikas
Nowadays 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.
Citation - WoS: 22
Citation - Scopus: 28
Investigating 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, Yigit
The 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.
Citation - WoS: 55
Citation - Scopus: 59
Optimizing fused deposition modelling parameters based on the design for additive manufacturing to enhance product sustainability
(ELSEVIER, 2023) Sachin Kumar Mangla; Yigit Kazancoglu; Muruvvet Deniz Sezer; Neslihan Top; Ismail Sahin; Sezer, Muruvvet Deniz; Sahin, Ismail; Top, Neslihan; Mangla, Sachin Kumar; Kazancoglu, Yigit
Nowadays designers and engineers rely on specific manufacturing guidelines to bring quality products to market with minimum time and error. Design for Additive Manufacturing (DfAM) is one of these guides adapted to Additive Manufacturing (AM) technologies used to increase the operational performance of components mini-mise material waste and provide design flexibility. DfAM optimises three-dimensional (3D) printing parameters to maximise the potential of AM technologies. DfAM improves ecological performance and provides many ad-vantages for the transition to a circular economy by providing resource efficiency and enabling the production of parts with reduced weight without changing their mechanical strength. The aim of this study is to investigate the impact of the infill density infill pattern and layer thickness on the printing time weight Young's modulus compressive stress surface roughness tensile strength CO2 emissions and amount of material used for the samples printed using Poly-lactic acid (PLA) in the Fused Deposition Modelling (FDM) method. PLA has been chosen because it is a natural and recyclable polymer derived entirely from plant sources. In the printing process samples with different mechanical properties have been obtained by changing the infill density (25% 50% and 75%) the infill pattern (gyroid triangle and grid) and the layer thickness (100 150 and 200 mu m) parameters. The Design of Experiment (DoE) method is provided to find optimal combinations of the selected parameters. Ac-cording to the results of the study the effect of the layer thickness differs on each output. While the infill density is 75% grid and triangle structures generally give the best results among the infill patterns, infill density of 25% varies according to the infill pattern. The gyroid and triangle patterns give optimum results for less layer thickness (e.g. 100 mu m) while the grid should be preferred for higher layer thickness (e.g. 200 mu m).