Browsing by Author "Berberoglu, Yalcin"

Now showing 1 - 9 of 9

Citation - WoS: 13
Citation - Scopus: 16
Circularity assessment of logistics activities for green business performance management
(WILEY, 2023) Yalcin Berberoglu; Yigit Kazancoglu; Muhittin Sagnak; Berberoglu, Yalcin; Kazancoglu, Yigit; Sagnak, Muhittin
The population of the world is increasing and product demand is increasing making a linear economy ineffective and therefore this situation makes the circular economy (CE) a requirement. Economic social and environmental factors all play a role in the CE. Also logistics activities are critical parts of the CE. Hence this study's goal is to create a framework for evaluating organizations' CE logistics performance. The main contribution of the study is the creation of a framework to assess the circularity performance including various logistics activities and measure the performance of logistics activities. To establish a list of criteria 30 experts were interviewed. The criteria were ranked using fuzzy statements. The selected multi-criteria decision-making (MCDM) method data envelopment analysis is applied using IBM ILOG CPLEX Optimization Studio version 20.1.0.
Citation - WoS: 7
Citation - Scopus: 12
Environmental Sustainability Implications and Economic Prosperity of Integrated Renewable Solutions in Urban Development
(MDPI, 2023) Yigit Kazancoglu; Yalcin Berberoglu; Cisem Lafci; Oleksander Generalov; Denys Solohub; Viktor Koval; Solohub, Denys; Koval, Viktor; Lafci, Cisem; Berberoglu, Yalcin; Kazancoglu, Yigit; Generalov, Oleksander
The increasing urbanization and growth of cities worldwide have led to a significant increase in energy demand. As a transition to a low carbon environment occurs the role of renewable and sustainable energy systems in urban areas is benefiting industry and the environment alike. From this perspective the Sustainable Development Goals (SDGs) have a lot to offer to the energy industry particularly the integration of renewable and sustainable energy systems for environmental protection in cities. This study presents a comprehensive view that integrates technological economic political and social challenges confronted with the effective implementation of renewable and sustainable energy in urban cities and proposes a solution agenda to overcome these hurdles with the aid of the SDGs. The weights for the challenges of adopting renewable and sustainable energy systems were determined using the Fuzzy Best-Worst Method. The SDGs were then ranked using the fuzzy TOPSIS technique to overcome predetermined challenges. The originality of this study lies in finding solutions to the determined challenges by adopting SDGs emphasizing the need for integrated solutions that address energy-related concerns and highlighting the role and importance of SDGs in environmental protection. The study highlights the importance of SDGs in promoting renewable energy integration in urban areas with SDG 11 being the most crucial to mitigate harmful environmental occurrences related to energy-related issues in urban areas followed by SDG 7 and SDG 13.
The Role of UAV Automation in Inbound Logistics and Warehousing
(Springer Nature, 2025) Lafci, Cisem; Berberoglu, Yalcin; Kayikci, Yasanur
Citation - WoS: 85
Citation - Scopus: 100
Sustainable collection center location selection in emerging economy for electronic waste with fuzzy Best-Worst and fuzzy TOPSIS
(PERGAMON-ELSEVIER SCIENCE LTD, 2021) Muhittin Sagnak; Yalcin Berberoglu; Ilker Memis; Ogulcan Yazgan; Memis, Ilker; Berberoglu, Yalcin; Yazgan, Ogulcan; Sagnak, Muhittin
In emerging economies electronic waste is an important problem because it negatively affects the health of staff and people and causes pollution. Moreover the location of the collection center has a crucial role in sustainable supply chains. Therefore in this study a framework was proposed to identify the location of sustainable collection centers for e-waste. The criteria set includes 3 main criteria and 23 sub-criteria and 7 different location options. The main criteria cover economic social and environmental criteria which are organized as the Triple-Bottom-Line dimensions. Alternatives are Manisa Menemen Gaziemir Kemalpasa Torbali cigli and Akhisar. Fuzzy Best-Worst Method (BWM) and Fuzzy TOPSIS methods are used to calculate the weights of criteria and rankings of the alternatives respectively. Transportation cost was found as the most important criterion for sustainable collection center selection followed by collection cost storage/holding cost land cost greenhouse gas emissions energy cost tax and investment cost respectively. Among other alternatives cigli was found as the best alternative for sustainable collection center followed by Gaziemir and Manisa. Managerial implications were presented based on the findings. (C) 2021 Elsevier Ltd. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 8
The analysis of critical success factors for successful kaizen implementation during the COVID-19 pandemic: a textile industry case study
(Emerald Publishing, 2024) Yigit Kazancoglu; Çisem Lafci; Yalcin Berberoglu; Sandeep Jagtap; Cansu Çimitay Çelik; Jagtap, Sandeep; Lafci, Cisem; Berberoglu, Yalcin; Kazancoglu, Yigit; Celik, Cansu Cimitay
Purpose: The primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen a Japanese concept of continuous development particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises. Design/methodology/approach: This study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure comprising business academia and government representatives is utilized to uncover essential insights. Additionally the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs. Findings: The research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally the application of the MICMAC analysis reveals three clusters of CSFs: linkage dependent and independent highlighting their interdependencies and impact. Originality/value: Major contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry especially during disruptive events. The combination of the Triple Helix Actors structure MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners policymakers and academia seeking to enhance the resilience and sustainability of the textile industry. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 36
Citation - Scopus: 40
The effects of globalization on supply chain resilience: outsourcing techniques as interventionism protectionism and regionalization strategies
(Springer, 2024) Yigit Kazancoglu; Çisem Lafci; Yalcin Berberoglu; Arvind Upadhyay; Luis Rocha-Lona; Vikas Kumar; Upadhyay, Arvind; Rocha-Lona, Luis; Lafci, Cisem; Berberoglu, Yalcin; Kazancoglu, Yigit; Kumar, Vikas
Globalization may cause companies to broaden their customer bases operate internationally and serve more customers. However it also entails dangers including shifting circumstances disruptions and elevated prices. To address these issues outsourcing has evolved lowering outputs and service costs. To mitigate these risks businesses employ strategies such as interventionism protectionism and regionalization. By investigating and simulating the interplay of outsourcing approaches to equip businesses with supply chain resilience (SCRES) this study aims to close the knowledge gap between the existing knowledge and global supply chain (GSC) risk management practices. To choose the best alternative for our case study company we analyzed four distinct outsourcing techniques namely offshoring reshoring nearshoring and farshoring, furthermore we investigated the outsourcing elements typically taken into account to achieve resilience. The results indicated that the reshoring method would be the most promising one for this company under specific circumstances in terms of attaining resilience in the manufacturing industry. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 29
Citation - Scopus: 41
The role of agri-food 4.0 in climate-smart farming for controlling climate change-related risks: A business perspective analysis
(John Wiley and Sons Ltd, 2024) Yigit Kazancoglu; Çisem Lafci; Anil Kumar; Sunil Luthra; Jose Arturo Garza-Reyes; Yalcin Berberoglu; Garza-Reyes, Jose Arturo; Luthra, Sunil; Kumar, Anil; Lafci, Cisem; Berberoglu, Yalcin; Kazancoglu, Yigit
The impact of climate change including fires droughts and storms on natural resources and agricultural output is increasing. In addition to these problems resource depletion and greenhouse gas (GHG) emissions agriculture also contributes to global warming. To reduce the dangers of climate change farmers are using sustainable practices. This article aims to link agri-food 4.0 technology with climate-smart agriculture (CSA) to lessen the two-way interaction (both affecting and impacted) between the agricultural sector and global warming as well as dangers related to the agri-food business. In light of this information the research methodology of the paper is twofold. Initially related risks towards climate change and the CSA and agri-food 4.0 technologies to overcome these risks were determined through a literature review. Then risks and technologies are evaluated by adopting the TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making) which is used for evaluating the criteria set with the related technologies to overcome climate change-related risks and provide a guiding map for academics and practitioners to eliminate risks associated with these climate change-related factors. According to the study's findings the highest-priority concerns in the agri-food industries that are connected to climate change include energy consumption food safety and GHG emissions. Internet of Things (IoT) bio-innovation and artificial intelligence are thought to be the most promising technological solutions to address these problems. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 33
Citation - Scopus: 42
Towards Industry 5.0 Challenges for The Textile and Apparel Supply Chain for The Smart- Sustainable- and Collaborative Industry in Emerging Economies
(SPRINGER, 2024) Yigit Kazancoglu; Sachin Kumar Mangla; Yalcin Berberoglu; Cisem Lafci; Jitender Madaan; Madaan, Jitender; Lafci, Cisem; Berberoglu, Yalcin; Kazancoglu, Yigit; Mangla, Sachin Kumar
Industrial revolutions often seek to strengthen the separation of human and machine labor by going one step further toward automation and digitalization and the transfer of tough and dangerous occupations to robots. As it strives to include robots in people's daily activities and work the introduction of concepts such as I5.0 is a step forward in enhancing human-machine interaction and provides some possibilities and challenges for firms. Therefore this article mainly focuses on studying and concretely examining the challenges faced by businesses transitioning from I4.0 to I5.0 by providing case examples from the textile and apparel supply chain. After a detailed review of the current literature related to the I5.0 challenges the I5.0 challenges were listed in general. Then the fuzzy Decision-making trial and evaluation laboratory approach has adopted into the challenges to reveal causal interactions between them thus prioritizing the substantial challenges to be focused on to influence the entire textile and apparel supply chain.
Citation - Scopus: 4
Towards sustainable mining in an emerging economy: Assessment of sustainability challenges
(Elsevier Ltd, 2024) Yalcin Berberoglu; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Berberoglu, Yalcin; Mangla, Sachin Kumar; Kazancoglu, Yigit
The minerals industry in Turkey is critical to the nation's financial system and has a significant influence on its economic growth and well-being. The goal of this investigation is to undertake a complete review of the minerals sector's sustainability concerns utilizing fuzzy decision-making to generate enlightening answers. Therefore the major purpose of this research is to recognize and highlight sustainability concerns in the Turkish mining or minerals sector. This study employs expert opinions and a review of the literature to develop a complete set of criteria that will serve as the basis for the Fuzzy Best-Worst Method (FBWM) which is utilized for evaluating observed challenges. According to the findings of the study “safety” is the most significant challenge that must be addressed immediately to safeguard the health and safety of mining people as well as the long-term sustainability of operations. This study contributes to an existing body of literature by examining industrial sustainability challenges using the FBWM technique. Using FBWM to acquire a deeper knowledge of the difficulties researchers stakeholders in the industry and policymakers can get valuable insights into the connections between them. © 2024 Elsevier B.V. All rights reserved.