Browsing by Author "Kazancoglu, Yigit"

Now showing 1 - 20 of 104

Citation - WoS: 171
Citation - Scopus: 201
A conceptual framework for barriers of circular supply chains for sustainability in the textile industry
(WILEY, 2020-07-22) Ipek Kazancoglu; Yigit Kazancoglu; Emel Yarimoglu; Aysun Kahraman; Yarimoglu, Emel; Kazancoglu, Ipek; Kazancoglu, Yigit; Kahraman, Aysun
Circular economy is a contemporary concept including usage of renewable materials and technologies. The transition to the circular economy creates value through closed-loop systems reverse logistics eco-design product life cycle management and clean production. The aim of the study was to propose a holistic conceptual framework for barriers of circular supply chain for sustainability in the textile industry. Within this aim an in-depth literature review on barriers was conducted by covering all supply chain stages and circular initiatives in textile industry. Then a focus group study was implemented. In the focus group study barriers related to supply chains that prevent companies to implement the circular economy were discussed and validated. As a result a total of 25 barriers were classified under nine main categories such as (a) management and decision-making (b) labour (c) design challenges (d) materials (e) rules and regulations (f) lack of knowledge and awareness (g) lack of integration and collaboration (h) cost and (i) technical infrastructure.
Citation - WoS: 102
Citation - Scopus: 147
A conceptual framework for blockchain-based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain
(WILEY, 2022-03-23) Sachin Kumar Mangla; Yigit Kazancoglu; Abdullah Yildizbasi; Cihat Ozturk; Ahmet Calik; Calik, Ahmet; Yildizbasi, Abdullah; Ozturk, Cihat; Mangla, Sachin Kumar; Kazancoglu, Yigit
The increasing population and income inequality in the last decades have made it necessary to focus on the concept of sustainability. In the changing world order with economic crises instabilities pandemics and social media sustainability awareness differs significantly from past years. In addition developing new technologies and concepts (big data blockchain IoT robotic etc.) plays a crucial role in meeting social awareness in terms of sustainability. Food sustainability is also one of the most important pillars in this concept. The integration of new technologies in agriculture and food chains will enable the current world population to use resources more efficiently and sustainably. Blockchain one of the technologies that emerged with the arrival of Industry 4.0 is a technology that can be used effectively in many sectors. Particularly in supply chain networks it is seen as a technology that supports the sustainability concept due to its features such as decentralization reliability transparency consensus standards and traceability. However since blockchain is an immature and new technology there are some challenges with integrating it into existing conventional systems. This study aims to present a conceptual framework for the integration of blockchain technology to establish a sustainable tea supply chain define possible actions and prioritize the possible risks that may arise in this integration process, this will be done through the Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) approach. In this context initially the current tea supply chain will be considered and the activities carried out will be defined in terms of technological environmental and strategic sustainability. Then the design that includes the integration of all activities with blockchain technology is presented. The proposed design covers the entire tea supply chain from end to end and is considered with regard to all sustainability dimensions. In the proposed framework barriers that may be encountered and risks that may arise at each stage of the tea supply chain process are identified, managerial implications are then presented to eliminate these risks. To enhance the use of the recommendations made risks and barriers are prioritized with SF-AHP management. Thus the problems that need to be solved primarily in the technological transformation process can be evaluated more clearly. The proposed theoretical framework is expected to extend to all agricultural practices and support technological advances throughout the agricultural sector.
Citation - WoS: 48
Citation - Scopus: 69
A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions
(Elsevier Inc., 2021-09) 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: 49
Citation - Scopus: 61
A Green Dual-Channel Closed-Loop Supply Chain Network Design Model
(ELSEVIER SCI LTD, 2022-01) 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 - Scopus: 1
A Hybrid Decision Model for Balancing the Technological Advancement Human Intervention and Business Sustainability in Industry 5.0 Adoption
(Springer Science and Business Media Deutschland GmbH, 2023-10-02) Rahul Sindhwani; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Ayça Maden; Maden, Ayca; Sindhwani, Rahul; Mangla, Sachin Kumar; Kazancoglu, Yigit; Z. Şen , O. Uygun , C. Erden
In Industry 5.0 humans and machines work together using advanced technologies like Artificial Intelligence (AI) the Internet of Things (IoT) and automation to improve efficiency productivity and quality while also supporting sustainable practices and human values. There is a growing interest in learning about the challenges of Industry 5.0 and exploring these technologies to promote sustainability and responsible business practices. We need a hybrid decision model to strike a balance between technical progress human values and sustainable practices as we move toward Industry 5.0 which presents enormous challenges in the areas of technology the environment society and ethics and business and economics. Through a literature analysis guided by the PRISMA technique and the Delphi method the study highlighted challenges in the areas of technology the environment society and ethics and business and economics as well as solution measures to address them. The weightage of the challenges was determined using the Best Worst Method and the ranking of the potential solutions was prioritized using the Elimination and Choice Expressing Reality method. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 2
A multiphase acceptance sampling model by attributes to investigate the production interruptions in batch production within tobacco industry
(EMERALD GROUP PUBLISHING LTD, 2021-09-30) Damla Yuksel; Yigit Kazancoglu; P. R. S. Sarma; Yuksel, Damla; Kazancoglu, Yigit; Sarma, P. R. S.
Purpose This paper aims to create a new decision-making procedure that uses Lot-by-Lot Acceptance Sampling Plan by Attributes methodology in the production processes when any production interruption is observed in tobacco industry which is a significant example of batch production. Design/methodology/approach Based on the fish bone diagram the reasons of the production interruptions are categorized then Lot-by-Lot Acceptance Sampling Plan by Attributes is studied to overcome the reasons of the production interruptions. Furthermore managerial aspects of decision making are not ignored and hence acceptance sampling models are determined by an Analytical Hierarchy Process (AHP) among the alternative acceptance sampling models. Findings A three-phased acceptance sampling model is generated for determination of the reasons of production interruptions. Hence the necessary actions are provided according to the results of the proposed acceptance sampling model. Initially 729 alternative acceptance sampling models are found and 38 of them are chosen by relaxation. Then five acceptance sampling models are determined by AHP. Practical implications The current experience dependent decision mechanism is suggested to be replaced by the proposed acceptance sampling model which is based on both statistical and managerial decision-making procedure. Originality/value Acceptance sampling plans are considered as a decision-making procedure for various cases in production processes. However to the best of our knowledge Lot-by-Lot Acceptance Sampling Plan by Attributes has not been considered as a decision-making procedure for batch production when any production interruption is investigated.
Citation - WoS: 264
Citation - Scopus: 328
A new holistic conceptual framework for green supply chain management performance assessment based on circular economy
(Elsevier Ltd, 2018-09) Yigit Kazancoglu; Ipek Kazançoǧlu; Muhittin Saǧnak; Kazancoglu, Yigit; Kazancoglu, Ipek; Sagnak, Muhittin
In circular economy the Green Supply Chain Management (GSCM) provides the resource optimization and it is seen as a solution to solve environmental problems and consumption patterns within the whole supply chain. The GSCM implementation and performance assessment is relatively important for survival in an ever-increasingly competitive environment. Within the circular economy context, companies that aim to improve GSCM must constantly monitor their performance. In order to integrate the circular economy concept into GSCM it is required to achieve an optimal balance of environmental economic logistics organizational and marketing performance indicators. However in the literature these indicators were investigated separately in terms of GSCM performance assessment therefore to achieve this optimal balance it is necessary to assess these different indicators. Within this context the aim of this paper is to propose a new holistic conceptual GSCM performance assessment framework which integrates environmental economic logistics operational organizational and marketing performance. The framework has three-dimensional hierarchy which includes the main criteria sub-criteria and the measures for the GSCM performance assessment which have great significance to implement effective GSCM. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 11
Citation - Scopus: 18
A New Holistic Conceptual Framework for Leanness Assessment
(RAM ARTI PUBL, 2020-08-01) Cansu Tayaksi; Muhittin Sagnak; Yigit Kazancoglu; Tayaksi, Cansu; Sagnak, Muhittin; Kazancoglu, Yigit
Lean principles aiming at eliminating waste and increasing efficiency at a company take their roots from the initiatives of Taiichi Ohno. After the implementation of the principles at the Toyota Motor Company for the first time businesses started to discover the benefits of lean implementation in terms of efficiency increase. As the adaptation of lean into the manufacturing sector is continuing the necessity of assessing the level of leanness at the firm-level maintains its importance. Taking systems approach as a basis the lean performance of an organization should be assessed as a whole. Therefore we propose a holistic leanness assessment framework which encapsulates various dimensions of the leanness assessment and we identify the importance and causal relationships between the sub-criteria. In order to identify the importance and causal relationships between the sub-criteria we used fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL). Our findings show that the most influencing factor in the cause group is 'technology and product design' which indicates the companies' necessity to focus on Industry 4.0 during their operations. The results also illustrate that the most influenced factor in the effect group is 'productivity' in which companies can investigate strategic competitive advantages. The design of a holistic framework and the implementation of fuzzy DEMATEL offers a way to identify the importance and the causal relationships between the sub-criteria. With the help of a case study conducted in the plastics industry of Turkey we offer managerial implications that could help managers to implement the proposed structural leanness assessment framework.
Citation - WoS: 8
Citation - Scopus: 11
A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19
(Emerald Publishing, 2022-12-19) Melisa Ozbiltekin-Pala; Aydın Koçak; Yigit Kazancoglu; Ozbiltekin-Pala, Melisa; Kocak, Aydin; Kazancoglu, Yigit
Purpose: COVID-19 is a global event affecting supply chain operations and human health. With COVID-19 many issues in business models business processes and supply chains especially in the manufacturing industry have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains. Design/methodology/approach: In this study a new circular-SCOR model is proposed and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method separately. Findings: As a result for both methods in the case study discussed the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains. Originality/value: It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains especially in manufacturing industries. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 7
Citation - Scopus: 7
A strategic and social analytics model for sustainable packaging in the cosmetic industry
(ELSEVIER, 2024-12) Idiano D'Adamo; Massimo Gastaldi; Rossella Giacalone; Yigit Kazancoglu; Gastaldi, Massimo; D'Adamo, Idiano; Giacalone, Rossella; Kazancoglu, Yigit
Every day we use cosmetic products that are not only focused on beauty but also with everything related to personal care and hygiene. The impact that these products have on sustainability cannot be overlooked. Many cosmetics contain unsustainable ingredients that can cause environmental damage and loss of biodiversity. In addition fossil-based packaging contributes greatly to environmental pollution and increases waste in the absence of a circular supply chain. This work has a dual objective. The first is to provide a strategic analysis based on a multi-criteria approach to evaluate the most sustainable alternatives to traditional packaging that manufacturers could adopt based on the opinions of experts from different categories of stakeholders. In this study the multi-criteria approach was employed as it has been widely recognized in the literature for its effectiveness in evaluating and comparing alternatives across multiple often conflicting criteria. The second is to provide a social analysis to assess consumers' views habits preferences and willingness to pay toward sustainable packaging. The results show divergence among experts who prefer refillable packaging while consumers prefer recyclable packaging. In contrast a convergence in selling price and production costs is verified highlighting the strategic importance of the economic dimension is for sustainable packaging and the willingness to pay for sustainable packaging is about twice that of traditional packaging. The implications of this work suggest that circular supply chains covering the entire life cycle of products based on a pragmatic approach can drive the convergence of consumption and production patterns toward sustainable development.
Citation - Scopus: 2
Advances in soft computing applications
(River Publishers, 2023) Shristi Kharola; Mangey Ram; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Kharola, Shristi; Ram, Mangey; Mangla, Sachin K.; Kazancoglu, Yigit
The proclivity of today's technology to think like humans may be seen in new developing disciplines such as neural computing fuzzy logic evolutionary computation machine learning and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements supply chain and logistics system optimization decision-making artificial intelligence smart systems and other rapidly evolving technologies. In today's competitive world the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 1
An exploratory study on the practice of operational excellence in the automotive industry in Morocco
(EMERALD GROUP PUBLISHING LTD, 2025-01-07) Yigit Kazancoglu; Jose Arturo Garza-Reyes; Mohammed Elgharbaoui; Chaymae Abbana Bennani; Garza-Reyes, Jose Arturo; Abbana Bennani, Chaymae; Kazancoglu, Yigit; Elgharbaoui, Mohammed
PurposeThis study aims to explore the implementation of operational excellence (OpEx) within the Moroccan automotive industry focusing on its perception adoption and integration into organizational structures.Design/methodology/approachThis research uses a qualitative exploratory design using semi-structured interviews with eight key experts from various ecosystems within the Moroccan automotive industry. A purposive expert sampling method was used to select participants with significant experience in OpEx ensuring a deep context-specific understanding of its implementation.FindingsThis study reveals that Moroccan automotive firms adopt OpEx practices in a phased structured manner beginning with foundational methodologies such as Lean manufacturing 5S and Kaizen before progressing to advanced tools like Six Sigma. The integration of these practices is typically supported by dedicated teams within engineering and production departments with some firms establishing specialized OpEx departments reporting directly to plant directors. While notable progress has been made in the adoption of OpEx significant challenges remain particularly regarding the technical expertise required for advanced methodologies like Six Sigma. Nevertheless strong support from international parent companies and Morocco's highly integrated automotive ecosystem has been identified as key enablers in accelerating the adoption of OpEx best practices.Research limitations/implicationsThe generalizability of this study is constrained by its focus on a specific industry and region. While the qualitative findings provide valuable insights into the Moroccan automotive sector further research is needed to broaden the scope across different industries and geographical contexts. Future studies could explore the application of OpEx practices in other developing economies or investigate the role of Industry 4.0 technologies in enhancing OpEx outcomes.Originality/valueThis study contributes to the limited body of research on OpEx implementation in developing economies offering empirical insights from the Moroccan automotive industry. The findings provide practical insights for industry practitioners and theoretical contributions toward understanding how OpEx practices can be adapted and scaled within the unique context of emerging economies.
Citation - WoS: 3
Citation - Scopus: 4
Analysing of the territorial competitiveness index in Izmir through dynamic model
(Elsevier Ltd, 2024-01) 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: 43
Citation - Scopus: 52
Analysing the adoption barriers of low-carbon operations: A step forward for achieving net-zero emissions
(Elsevier Ltd, 2023-01) Anil Kumar; Sunil Luthra; Sachin Kumar Kumar Mangla; Jose Arturo Garza-Reyes; Yigit Kazancoglu; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Mangla, Sachin Kumar; Kazancoglu, Yigit
In November 2021 the 26th United Nations Climate Change Conference (COP26) was held in Glasgow UK the global leaders from nearly 200 countries stressed taking immediate action on the climate issue and how to ensure global net-zero emissions by 2030. It is possible to accelerate the transition to low-carbon energy systems the present study seeks to identify and analyse key barriers to Low Carbon Operations (LCO) in emerging economies. A critical literature review was undertaken to recognise the barriers linked to the adoption of LCO. To validate these barriers an empirical study with a dataset of 127 respondents from the Indian automobile industry was conducted. The validated barriers were analysed using Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) techniques. BWM is used to determine the priority ranking of barriers while the DEMATEL method is employed to elucidate the cause-effect inter-relationships among the listed barriers. The results suggest that ‘Economic’ is the most influential category of barriers followed by ‘Infrastructure’ and ‘Operational’. The results also show that the barriers ‘Economic’ ‘Environmental’ ‘Infrastructure’ and ‘Organizational Governance’ belong to the cause group. Some significant managerial implications are recommended to overcome these barriers and to assist firms in the successful adoption of LCO and achieving net-zero emissions. The work was carried out in the automotive industry in India but provides findings that may have wider applicability in other developing countries and beyond. © 2023 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Analysis of industry 4.0 applications for Turkish agriculture
(EDP Sciences, 2024) Damla Temimhan; Esra Ekinci; Yigit Kazancoglu; Ekinci, Esra; Kazancoglu, Yigit; Temimhan, Damla; Y. Kazancoglu , S. Karamperidis , S. Jagtap , V. Koval
This article presents analysis of industry 4.0 applications for the Turkish agriculture sector. Applications were picked and explained. However industry 4.0 applications were explained in the literature there are not adequate studies indicate the relationship and impact of the technologies on the agriculture sector. Also to adapt these applications most related and solution oriented applications needs to be picked by decision makers. Study aims to evaluate and scale alternatives using interpretive structural modelling method of Multicriteria Decision Aiding. Experts are reviewed the correlation between technologies to consider and apply ISM method. The By applying this method ordering and convenient applications will be ranked and review could be interpreted in simple way. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 21
Citation - Scopus: 26
Analyzing critical factors of strategic alignment between operational excellence and Industry 4.0 technologies in smart manufacturing
(Emerald Publishing, 2022-11-22) Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Anil Kumar; Jose Arturo Garza-Reyes; Sunil Luthra; Ozbiltekin-Pala, Melisa; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Kazancoglu, Yigit
Purpose: The manufacturing sector is highly competitive and operationally complex. Therefore the strategic alignment between operational excellence methodologies and Industry 4.0 technologies is one of the issues that need to be addressed. The main aim of the study is to determine the critical factors of strategic alignment between operational excellence methodologies and Industry 4.0 technologies for manufacturing industries and make comparative analyses between automotive food and textile industries in terms of strategic alignment between operational excellence methodologies and Industry 4.0 technologies. Design/methodology/approach: First determining the critical factors based on literature review and expert opinions these criteria are weighted and analytical hierarchy process is run to calculate the weights of these criteria. Afterward the best sector is determined by the grey relational analysis method according to the criteria for the three manufacturing industries selected for the study. Findings: As a result of AHP “Infrastructure for Right Methodology Techniques and Tools is in the first place” Organizational Strategy is in the second place while the third highest critical factor is “Capital Investment”. Moreover based on grey relational analysis (GRA) results the automotive industry is determined as the best alternative in terms of strategic alignment between operational excellence (OPEX) methodologies and I4.0 technologies. Originality/value: This study is unique in that it is primarily possible to obtain the order of importance within the criteria and to make comparisons between three important manufacturing industries that are important for the economies of the world. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 82
Citation - Scopus: 102
Analyzing the drivers of smart sustainable circular supply chain for sustainable development goals through stakeholder theory
(WILEY, 2022-04-10) Yasanur Kayikci; Yigit Kazancoglu; Nazlican Gozacan-Chase; Cisem Lafci; Gozacan-Chase, Nazlican; Kayikci, Yasanur; Lafci, Cisem; Kazancoglu, Yigit
The concept of sustainable development is becoming incomprehensible and complex in global supply networks especially in low- and middle-income countries (LMIC) that are most affected by ever-changing industry challenges and standards. Smart technologies emerged by Industry 4.0 sustainability and circular economy (CE) connection which remain unexplored can be integrated into the supply chain as a business strategy to increase collaboration and cooperation between different tiers of the supply chain to achieve sustainable development goals (SDGs) according to LMIC. Therefore the main objective of this paper is to discover the drivers of a smart sustainable circular supply chain (SSCSC) in achieving the SDGs in LMIC through stakeholder theory. First a systematic review is employed to identify the drivers of the SSCSC to achieve the SDGs in the LMIC incorporating existing literature on the subject. Second the Best-Worst Method (BWM) is applied to analyze the identified drivers and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to analyze the SDGs. The applicability of the solution methodology was illustrated by providing a numerical example. The results of the study are twofold: firstly drivers are analyzed by implementation of BWM. The results of the BWM reveal that economic sustainability is the best key driver among the eight driversin achieving the SDGs meaning that without financial assistance and support achieving the SDGs becomes ineffective. Secondly the TOPSIS analysis reveals that SDG 16 (peace justice and strong institutions) is the SDG most supported by drivers.
Citation - Scopus: 7
Applying fuzzy logic to the assessment of latent economic features
(River Publishers, 2023) A. G. Yankovyi; Oksana Valentynivna Tsimoshynska; Viktor Koval; Yigit Kazancoglu; V. Kotlubai; Liliya M. Filipishyna; Koval, Viktor; Yankovyi, Oleksandr; Kotlubai, Viacheslav; Tsimoshynska, Oksana; Kazancoglu, Yigit; Filipishyna, Liliya
The impossibility of direct measurement of some economic features in the metric scale prompted researchers to use specific mathematical and statistical apparatus in their evaluation in particular the combination of expert scores with models and methods of fuzzy logic. Such latent features at the micro-level include financial condition competitiveness investment attractiveness the global criterion of optimality priority of the company's investment projects etc. The concepts and essence of latent economic signs are discussed their definition and connection with scales of measurement of indicators of commodity producers are given and also the four-level hierarchical model of latent sign "competitiveness" of the company is investigated. The methods of estimation of latent economic signs existing in modern science are considered and their classification is offered. In the example of the sign of "competitiveness" of the company methods of estimating latent indicators based on a combination of expert opinions and algorithms of fuzzy sets and fuzzy logic are considered. The method of determining the weights of the symptom factors of the desired latent economic indicator based on their pairwise comparison is discussed (Saaty process). © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 35
Citation - Scopus: 32
Assessing dairy supply chain vulnerability during the Covid-19 pandemic
(Taylor and Francis Ltd., 2021-04-07) Kritika Karwasra; Gunjan Soni; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Karwasra, Kritika; Soni, Gunjan; Mangla, Sachin Kumar; Kazancoglu, Yigit
Frequent occurrence of disruptions in the supply chain due to the Covid-19 pandemic has increased the supply chain vulnerability (SCU) which affects the performance and revenue generation of firms. If the commodity we are dealing with in a supply chain is of a perishable nature then the situation becomes more complicated as such products need restrictive storage and transportation facilities. The dairy supply chain is one such perishable product supply chain. This paper thus proposes a method to identify key drivers of SCU in a dairy SC followed by establishing a model using interpretive structural modeling (ISM) and a graph theory approach (GTA) to calculate the SCU Index. It is important to quantify the SCU for identifying major factors affecting it and then developing techniques to mitigate it. In order to quantify the SCU first the ISM model is used to identify the interrelation between drivers and then an adjacency matrix is formed by using the interdependence thereby adding inheritance of each driver. A variable permanent matrix is formed to calculate the SCU Index for the SC. This proposed approach will help managers in mitigating the adverse effects of COVID-19 on the dairy supply chain. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 70
Citation - Scopus: 96
Assessing smart circular supply chain readiness and maturity level of small and medium-sized enterprises
(Elsevier Inc., 2022-10) Yasanur Kayikci; Yigit Kazancoglu; Nazlican Gozacan; Çisem Lafci; Luciano C. Batista; Gozacan-Chase, Nazlican; Kayikci, Yasanur; Batista, Luciano; Lafci, Cisem; Kazancoglu, Yigit
A Smart Circular Supply Chain (SCSC) integrates both Industry 4.0 (I4.0) and Circular Economy (CE) concepts into supply chain in response to achieving sustainable goals/agenda. The purpose of this paper is to assess SCSC readiness and maturity level of SMEs considering different stakeholders from a multi-layered perspective. For this aim a conceptual framework was proposed and accomplished through a case study of SMEs in Turkey's textile industry. Such integrated approach to holistically assessing SCSC readiness and maturity makes a unique contribution to the field. The highlights of this study are summarized as follows: (1) approaching readiness and maturity in transitions by focusing on systems theory, (2) identifying the dimensions of readiness and maturity in transitions to I4.0 and CE, (3) assessment of readiness and maturity level of SMEs in transition to CE and (4) assessment of readiness and maturity level of SMEs in transition to I4.0 within the supply chain. © 2022 Elsevier B.V. All rights reserved.