E. Süle
35200039700
Publications - 23
Comparison of sustainability and circularity indicators: downstream vs. upstream supply chain strategies
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
In the quest for sustainable and circular practices within supply chains, both downstream and upstream strategies play pivotal roles. This structured literature review aims to compare the indicators of sustainability and circularity between downstream and upstream supply chain strategies, evaluating their impact through practical cases and empirical studies. The downstream strategies, which focus on waste management, customer engagement, and reverse network planning, are explored alongside upstream strategies such as sourcing environmentally friendly raw materials and integrating design for circularity principles. This paper assesses the efficacy of these strategies through a comprehensive review of scholarly articles, reports, and case studies in achieving sustainability and circularity goals. The literature review reveals that downstream strategies often face challenges related to felxibility and operational efficiency while crucial for managing end-of-life products and optimizing resource utilization. Conversely, upstream strategies, emphasizing eco-friendly sourcing and circular design principles which demonstrate significant potential for long term sustainability and circularity. Practical cases illustrate how upstream interventions can lead to reduced environmental impact, enhanced resource efficiency, and increased product longevity across various industries. Furthermore, the review highlights the interconnectedness of downstream and upstream strategies within the broader supply chain ecosystem. Synergistic approaches that integrate both strategies demonstrate the highest potential for driving transformative change towards sustainable and circular supply chains. Ultimately, this review underscores the importance of integrated approaches that leverage both downstream and upstream strategies to achieve lasting environmental and economic benefits to provides insights for policymakers and researchers seeking to prioritize interventions that maximize sustainability and circularity across the supply chain.
Open Access: Yes
Industry 5.0 as seen through its academic literature: an investigation using co-word analysis
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Industry 5.0 marks a pivotal advancement in manufacturing and bridges cutting-edge technology with human creativity to enhance efficiency, sustainability, and workplace dynamics. Despite its growing relevance, there remains a significant knowledge gap due to the lack of comprehensive reviews that synthesize the breadth of research and practice in this rapidly evolving field. This paper presents a comprehensive bibliometric analysis of Industry 5.0 and examines a corpus of 915 journal articles from the Scopus database, spanning from January 2016 to May 2024. The study aims to map the evolving landscape and thematic trajectories of Industry 5.0, highlighting its integration with advanced technologies such as AI, IoT, and human-centric systems. The findings indicate significant trends in the field, including a shift from theoretical underpinnings to practical applications and the growing emphasis on sustainability and human–machine collaboration. These thematic areas highlight the transformative potential of Industry 5.0 to enhance operational efficiency, workplace dynamics, and environmental sustainability within the industrial sector. By employing bibliometric and co-word analysis, this study addresses existing knowledge gaps and provides a nuanced understanding of the interdisciplinary interactions and future directions in Industry 5.0. The findings reveal the critical role of emerging technologies in driving the next industrial revolution, suggesting that future research should focus on integrating these technologies with socio-economic objectives to fully realize the potential of Industry 5.0. In terms of originality, this study sets a foundation for future explorations and practical implementations that can contribute to more sustainable, efficient, and human-centric industrial practices.
Open Access: Yes
Industry 5.0 research: an approach using co-word analysis and BERTopic modeling
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
This study addresses a substantial knowledge gap by conducting a complete evaluation of the present landscape and future directions of Industry 5.0. It recognizes the need of synthesizing a wide body of relevant research in order to get a better understanding of the complex nature of Industry 5.0. Using a comprehensive and systematic approach, the current study performed a co-word analysis and BERTopic modeling on a carefully selected dataset of 933 journal articles, sourced from Scopus and originally published between 2016 and 2024. These techniques facilitated the identification and analysis of significant patterns and uncovered integration of technology progress with human-centered strategies in Industry 5.0 frameworks. The study reveals the significant impact of new technologies, such as artificial intelligence (AI), cyber-physical systems, and blockchain processes, on improving operational efficiency, security, and sustainability. The study highlights the significance of incorporating these technologies into industrial processes to promote settings that are creative, productive, and attentive to human requirements. The trend analysis uncovers dynamism within Industry 5.0 research, which is featured by a blend of technological innovation, sustainability, and ethical considerations. Combined, these shape a future where these components are deeply interconnected. The research has significant implications, as it provides theoretical advancements and practical recommendations that might impact future industrial policy and firm operations. This study addresses a significant need by offering valuable information on how to combine technical advancements with ethical and sustainable approaches. The goal is to improve productivity and promote the well-being of society. This work is groundbreaking inasmuch as it is one of the first extensive studies in this field. It establishes an important guide for future academic research and practical use in the changing landscape of Industry 5.0.
Open Access: Yes
When Industry 5.0 Meets the Circular Economy: A Systematic Literature Review
Publication Name: Circular Economy and Sustainability
Publication Date: 2025-08-01
Volume: 5
Issue: 4
Page Range: 2621-2652
Description:
This paper examines the convergence of Industry 5.0 and the circular economy, emphasizing the role of emerging technologies in promoting sustainability via human-centric approaches. In contrast to Industry 4.0, which prioritizes automation and digitalization, Industry 5.0 stresses the synergistic integration of technology, environmental sustainability, and human collaboration to enhance resource efficiency and minimize waste. Using co-word analysis and BERTopic modeling on 283 journal articles extracted from the Scopus database, this research identifies key trends and themes linking Industry 5.0 and the circular economy. The study findings demonstrate the use of automation, machine learning, and 3D printing in sustainable manufacturing, which aligns with circular economy principles by optimizing resource efficiency and reducing waste. The topic modeling analysis further demonstrates the role of blockchain, cybersecurity, and human-centric AI in enabling closed-loop systems while assuring transparency and accountability in circular production models. The collaboration between humans and machines emerges as a crucial topic highlighting the need for adaptive manufacturing systems to balance productivity and environmental responsibility. The findings indicate that Industry 5.0 increasingly aligns with circular economy goals, paving the way to more sustainable, resilient, and human-centric industrial processes. This study offers valuable insights for academics and practitioners, indicating that the confluence of technology, sustainability, and human involvement will propel the future of industrial innovation.
Open Access: Yes
Knowledge flows in industry 4.0 research: a longitudinal and dynamic analysis
Publication Name: Journal of Data Information and Management
Publication Date: 2025-06-01
Volume: 7
Issue: 2
Page Range: 123-145
Description:
Industry 4.0 represents a significant shift in industrial practices, presenting unique opportunities to improve manufacturing via advanced digital technologies and sustainable processes. The rapid growth of Industry 4.0 research has uncovered a significant knowledge gap and emphasized the need for studies adopting dynamic and longitudinal perspectives to understand this field’s evolution comprehensively. This study meticulously analyzes 10,176 articles to investigate the thematic evolution and knowledge transfer mechanisms within Industry 4.0. The examination reveals four distinct sub-periods, each characterized by thematic transitions, starting with foundational themes such as simulation and cyber-physical systems, progressing to later focuses on cloud computing, convolutional neural networks, and digital twin technologies. As research progresses, themes like production facilities, monitoring, and security highlight the shift towards automation, real-time monitoring, and strong data security measures. Five primary thematic domains are identified: (1) core enablers of sustainable smart manufacturing, (2) innovation and strategic transformation, (3) smart and secure manufacturing systems, (4) advanced data-driven manufacturing technologies, and (5) AI-driven real-time monitoring and production. These domains illustrate a transition from fundamental enablers like the Internet of Things (IoT) to more intricate AI-based applications. The main path analysis indicates a shift in emphasis, moving from essential digital integration towards sustainability, digital transformation, and resource efficiency applications. The findings reveal significant implications and highlight Industry 4.0 as a driving force for sustainable and resilient industrial ecosystems.
Open Access: Yes
Cognitive-Biased Decision on Courier Express Parcel Market and the Effect of Narratives
Publication Name: Logistics
Publication Date: 2025-03-01
Volume: 9
Issue: 1
Page Range: Unknown
Description:
Background: Extensive research highlights the economic benefits of collaboration among parcel delivery service providers, yet mutually advantageous cooperative arrangements remain limited in Hungary’s online shopping sector. Service providers typically prefer to operate independently rather than cooperate with competitors. However, the COVID-19 pandemic significantly altered industry dynamics, leading to increased collaboration. Methods: Against this backdrop, this study explores two key research questions. First, it examines the role of economic narratives in shaping market dynamics. Second, it investigates the cognitive biases influencing decision-makers during the pandemic, based on an analysis of Hungary’s parcel delivery sector. Semi-structured interviews were conducted with key actors in the logistics industry, and the data were analyzed using abductive thematic analysis. Results: The findings reveal that specific economic narratives, such as those emphasizing efficiency and safety, indirectly influenced market mechanisms during the COVID-19 pandemic. Notably, the shift in consumer demand towards contactless parcel lockers created new incentives for collaboration. Additionally, this study demonstrates that decision-makers exhibited cognitive biases such as risk aversion, which affected their willingness to cooperate. Conclusions: The research concludes that strong economic incentives can override these biases, fostering collaboration among service providers.
Open Access: Yes
Tracing knowledge diffusion trajectories in the research field of cyberbullying
Publication Name: Heliyon
Publication Date: 2025-01-15
Volume: 11
Issue: 1
Page Range: Unknown
Description:
In today's digital age, cyberbullying has emerged as a pervasive issue that affects individuals across various social media platforms and digital communication channels. This review explores the developmental trajectory of cyberbullying as an interdisciplinary academic field, employing a unique combination of co-word analysis and main path analysis (MPA) across a substantial body of 5183 documents. This integrated methodological approach allows for a nuanced examination of the evolution of themes and influential works within the realm of cyberbullying research. The findings highlight a complex landscape where initial focus areas, such as the behavioral and psychological triggers of cyberbullying, progressively expand towards exploring effective preventive measures and intervention strategies. Key themes identified include the impact of digital literacy, the dual role of social media as both a vector and a tool against cyberbullying, and the potential of technological advancements in detecting and mitigating cyberbullying. This comprehensive mapping and analysis deepens our understanding of cyberbullying and highlights the dynamic nature of this field, suggesting new directions for future research and practical applications to effectively address cyberbullying across various social and technological contexts. This study represents a pioneering effort in synthesizing a broad spectrum of research to offer detailed insights into the changing dynamics of cyberbullying, marking a significant contribution to both academic knowledge and practical approaches to handling cyberbullying.
Open Access: Yes
Municipal Household Waste Management Methodologies in the EU Countries: A Reverse Logistics Benchmarking Approach
Publication Name: Lecture Notes on Multidisciplinary Industrial Engineering
Publication Date: 2025-01-01
Volume: Part F4026
Issue: Unknown
Page Range: 100-109
Description:
Through the application of a reverse logistics benchmark approach, this paper aims to investigate prevailing waste management practices in the European Union (EU) countries. In detail, it will analyze existing waste management practices, identify successful efforts, and identify areas for improvement within the EU region, in order to answer how can different collection waste management practices promote sustainability and integrate with reverse supply network? In this article, a structured literature review is carried out to examine the existing literature background, and public reports are collected and analyzed published by EU nations on waste management. The aim of the article is to understand their current state and evaluate the applicability of reverse logistics techniques in enhancing waste collection, recycling, and disposal. By answering the research question, the examination can provide valuable insights and recommendations for policymakers, as well as those involved in managing waste or stakeholders with an interest in enhancing the sustainability and efficiency of waste management practices in EU countries.
Open Access: Yes
A systematic review of female entrepreneurship using co-word and main path analyses
Publication Name: Quality and Quantity
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
The objective of this paper is to provide a thorough examination of the developmental trajectory of female entrepreneurship research in order to address the lacuna in the literature. The study employs a combination of co-word analysis and main path analysis (MPA) to conduct a systematic review of the citation network of female entrepreneurship research. This methodology facilitates the identification of dominant themes and foundational works, thereby mapping the gradual diffusion of knowledge throughout the field. The results indicate that critical themes, including the role of social networks in empowering female entrepreneurs, gender biases, access to finance, and entrepreneurial motivation, are present. The MPA delineates the manner in which early works concentrated on gendered challenges, while more recent research has explored topics such as innovation, work-life balance, and microfinance in developing economies. Furthermore, the study underscores emerging trends, including the influence of digitalization and institutional barriers on entrepreneurship. This study is the first to integrate co-word analysis with MPA in the context of female entrepreneurship, thereby offering a comprehensive and innovative perspective on the field’s evolution. In doing so, it provides valuable insights into the evolving research landscape, emphasizing critical gaps and suggesting promising areas for future investigation. This method establishes a precedent for the implementation of more data-driven reviews in the field of entrepreneurship research.
Open Access: Yes
Blockchain technology in the renewable energy sector: A co-word analysis of academic discourse
Publication Name: Heliyon
Publication Date: 2024-04-30
Volume: 10
Issue: 8
Page Range: Unknown
Description:
The transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance energy efficiency, enable decentralized trading, and ensure transaction transparency. However, despite its growing importance, there exists a significant knowledge gap in the holistic understanding of its integration and impact within this sector. Addressing this gap, the current study employs a pioneering approach, marking it as the first comprehensive bibliometric analysis in this field. We have systematically examined 390 journal articles from the Web of Science database, covering the period from 2017 through the end of February 2024, to map the current landscape and thematic trajectories of blockchain technology in renewable energy. The findings highlight several critical thematic areas, including blockchain's integration with smart grids, its role in electric vehicle integration, and its application in sustainable urban energy systems. These themes not only illustrate the diverse applications of blockchain but also its substantial potential to revolutionize energy systems. This study not only fills a crucial gap in existing literature but also sets a precedent for future interdisciplinary research in this domain, bridging theoretical insights with practical applications to fully harness the potential of blockchain in the renewable energy sector.
Open Access: Yes
Emerging Technologies in Pharmaceutical Supply Chains: a Comprehensive Analysis of Findings and Implications
Publication Name: Chemical Engineering Transactions
Publication Date: 2024-01-01
Volume: 114
Issue: Unknown
Page Range: 811-816
Description:
The pharmaceutical supply chain faces significant challenges in achieving resilience and adaptability amid complex global risks and disruptions. Emerging technologies, such as Pharma 4.0, artificial intelligence (AI), and blockchain, offer transformative potential to enhance supply chain performance. Yet, research lacks a holistic understanding of how these technologies synergise to address scalability, cost, and cybersecurity challenges. This study undertakes a systematic literature review, synthesising findings from key studies within the Scopus database, to explore the integration of these technologies in pharmaceutical supply chains. The review reveals that combining artificial intelligence, blockchain, and Pharma 4.0 enables improved traceability, risk management, and resilience through mechanisms like Intelligent Digital Twins (iDTs) for stress testing and real-time response. These results indicate that integrating these technologies has the potential to build robust, scalable, and secure supply chains capable of withstanding future disruptions. By highlighting the compounded benefits and cross-industry applicability of these advancements, this study provides a comprehensive framework that not only addresses current gaps but also guides pharmaceutical companies and related industries toward more resilient supply chain solutions.
Open Access: Yes
DOI: 10.3303/CET24114136
Courier, Express, Parcel market with a complex system interpretation-The Hungarian case
Publication Name: 2024 IEEE 15th International Colloquium of Logistics and Supply Chain Management Logistiqua 2024
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
The parcel delivery market functions as a complex system, according to the authors of this article. By comprehending and outlining the unique characteristics of the complex system, the authors aim to substantiate their assertion. The Covid pandemic in Hungary's Courier, Express, and Parcel market in 2020 caused a previously unprecedented increase in parcel delivery demands similarly to other countries. The epidemic-related rise in e-commerce additionally resulted significant changes to the approach by which the parcel delivery industry operated. Unexpected collaboration amongst service providers started to emerge on the parcel market in 2021. These alterations are of a kind that suggests the behavioural characteristics of a complex system. Considering that the leading service providers' autonomous operations constitute the primary characteristic of the Hungarian parcel delivery market, an analysis from a scientific perspective of the events that transpired in the Hungarian parcel delivery market is imperative to understand the reasons for this shift. Two research questions have been formulated by the authors, one of which investigates whether the parcel delivery market is considered as a system (complex system), it is conceivable for collaboration to emerge spontaneously if this is the most effective form for the system. The other research question concerns whether cooperation can be established in a market without external interference. To provide an explanation for the developments that transpired between 2020 and 2022, the authors analyse the Hungarian parcel delivery market as a complex system. In complex systems, transformation and self-organization occur naturally when the system decides that a particular shape is best for it in its current environment. During the time under review, the equilibrium of the parcel delivery market in Hungary was disrupted by the unanticipated rise in e-commerce, and the increased demands of customers nearly brought the service providers to a state of chaos. Consequently, the behaviour of service providers started to shift from their previous standards. The article's uniqueness is in its classification of the parcel delivery market as a complex system, which can be used to anticipate the current and expected behaviour of the stakeholders.
Open Access: Yes
Understanding Determining Factors: Purchasing Decisions
Publication Name: Lecture Notes in Mechanical Engineering
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: 250-256
Description:
The paper aims to highlight the lack of usage of knowledge-based expert systems in purchasing decisions in the context of hybrid corporate reality. We use the transdisciplinary approach in our work, which is essential to examine the problem that occurs in the reality. While reviewing publications containing the keywords “Cognitive bias” and “Supplier selection”, we focused on the methods used. The examined methods in the pooled papers are mainly based on arithmetic and rank the possibilities without considering the available expert knowledge then and there. Afterwards, we propose a solution beyond analyzing the data measured in the past; in addition, the decision-maker, their mental model, and their knowledge is considered. We assume that the effects of cognitive biases are more readily identifiable when using expert systems in considering the decision-maker’s opinions in connection with the actually applied rules in making decisions. In addition to seemingly objective solutions, in our experiment, we propose that by using past cases with known results, complex rules, which are based on the expert’s knowledge, can be simplified without changing the results of decisions in purchasing.
Open Access: Yes
Human factor of multi attribute decision aid making system for supply chains
Publication Name: 2024 IEEE 15th International Colloquium of Logistics and Supply Chain Management Logistiqua 2024
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Achieving optimal operation is a fundamental objective in most production and service systems. The core of this pursuit involves seeking the minimum or maximum values of one or more target functions within specific constraints. For instance, it is common to strive for the minimization of operating costs, lead times, and resource utilization, or the maximization of revenue and coverage. These objectives must be balanced against a range of factors, including market constraints, resource capacities, budgets, and technological conditions. A significant challenge in the quest for optimal operation is the quality and documentation of data. Often, data are neither clean nor well-documented, which complicates the process of finding and implementing optimal operational strategies. This paper focuses on the human element in decision-making processes, acknowledging the limitations inherent in human capabilities when making decisions. The primary aim of this paper is to present a case study that highlights the constraints of human decision-making processes. Through this case study, we examine the impact of human factors on achieving optimal operation in production and service systems. The study provides insights into how human limitations can affect the decision-making process, particularly in the context of imperfect data and the complex interplay of various operational constraints.
Open Access: Yes
Lack of Collaboration on the CEP Market and the Underlying Reasons—A Systematic Literature Review
Publication Name: Sustainability Switzerland
Publication Date: 2023-07-01
Volume: 15
Issue: 13
Page Range: Unknown
Description:
The scientific community has been addressing the topic of last-mile delivery for years. To improve parcel delivery efficiency, a variety of different technologies have been created. Over the past 15 years, the focus has shifted from the operational efficiency of the individual organization to restoring sustainability and making cities more livable. As a result of the increased environmental burden, governments are enacting a growing number of restrictive measures, which will intensify economic challenges. To remain competitive, more cost-effective solutions are required. The goal of this article is to examine the significance of collaboration between CEP partners based on scientific interest, with the help of a systematic literature review. This examination is important since, despite the fact that working together with other service providers and competitors could be a favorable option for last mile suppliers looking to improve their efficiency, results show little interest in this approach. Although this strategy appears straightforward due to the potential financial and environmental benefits, there are only a few examples of collaboration in the field of last mile parcel delivery according to the results of the review. Since cooperation seems to be an inevitable operating model of the CEP market in the future, it is of utmost importance for scientific research to investigate the factors hindering the development of cooperation.
Open Access: Yes
DOI: 10.3390/su151310361
Cooperation and Sustainability in Last-Mile Logistics Sector: Behavioural Aspects of Courier Express Parcel Service Providers
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 565-570
Description:
The decisions of company managers are often not guided by the regulations governing the environment but by subjective factors that exert their effects in a hidden way in the decision-making manager's behavior. Market behavior is objectively controlled by regulators, but subjective factors lead to poor decision-making in some cases. On the one hand, the principal-agent problem is revealed behind the subjective factors, and on the other, cognitive biases affect the decision-making leader as a person. Cooperation with competitors from the same sector and sustainability issues are two similar areas where there is an opportunity to examine these concerns and where the nature of companies' decision-making shows similar or identical patterns on the basis of which decision-making behavior can be explored, characterized, and understood. This thesis examines the attitude of the managers of two existing Courier, Express, and Parcel market players regarding possible market cooperation. In-depth interviews and the completion of a unique questionnaire that revealed the presence of cognitive bias were the basis for the research. During the investigation, the cognitive bias influencing the decision of the two company managers was identified, and it was also examined whether the parent company or the owner's opinion affected their decision. The two case studies demonstrate how managers' decisions to develop collaborations are influenced by their prior experiences and prejudices.
Open Access: Yes
DOI: 10.3303/CET23107095
The Role of Blockchain and IOT in Reverse Logistics: the Impacts on the Environmental and Economical Sustainability – A Structured Literature Review
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 433-438
Description:
This paper aims to present the potential of the Internet of Things and Blockchain applications in enhancing the sustainability of reverse logistics processes. Logistics operations play a vital role in supply chain management and are often referred to as the "dynamo" of the process. Reverse logistics is imperative to bridge the gap between forward logistics (the initial movement of goods) and backward logistics (the movement of products in the opposite direction) to close the supply chain loop and achieve a more sustainable operation that is both environmentally and economically efficient. To achieve this objective, the paper undertook a structured literature review using three renowned databases, namely, Science Direct, Scopus, and Web of Science, via a mapping study. The investigation focused on exploring the sustainable aspects of reverse logistics, which can help organizations attain better environmental and economic returns. Additionally, the paper emphasizes how the Internet of Things and Blockchain applications can contribute to more economical and environmentally sustainable management of reverse logistics operations. The results highlight the key strategies, benefits, barriers, research gaps, and future research directions associated with the integration of these technologies in reverse logistics operations.
Open Access: Yes
DOI: 10.3303/CET23107073
Sustainability of On-Demand Public Transportation from the Customer Perspective
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 427-432
Description:
The goal of this article is to examine the sustainability aspects of on-demand public transportation systems. Demand-based transport systems have many benefits, including reducing traffic congestion, thereby reducing air pollution, and offering more sustainable transport alternatives in urban areas. In addition, they can provide complementary systems to existing transit networks and increase overall mobility, as these services can efficiently meet high-level transportation needs. In this adaptive service context, sustainability aspects are also of great importance, both in terms of reducing harmful emissions and energy consumption. There is a great need for process-based approaches in terms of service development and operation. The present research examines the preferences of potential travelers with the help of a questionnaire, aiming to examine what attributes customers would prefer in case of such a service, including time, flexibility, and sustainability, showing what type of service would be the most popular based on the respondents' opinion. 229 answers were collected, showing that respondents value flexibility and the shortening of waiting time and traveling time, but they would also like services that offer more environmentally friendly vehicles, such as electric vans or buses.
Open Access: Yes
DOI: 10.3303/CET23107072
Representation of loss aversion and impatience concerning time utility in supply chains
Publication Name: Smart Innovation Systems and Technologies
Publication Date: 2011-12-01
Volume: 10 SIST
Issue: Unknown
Page Range: 273-282
Description:
The paper deals with the investigation of the critical time factor of supply chain. The literature review gives a background to understand and handle the reasons and consequences of the growing importance of time, and the phenomenon of time inconsistency. By using utility functions to represent the value of various delivery-times for the different participants in the supply chain, including the final customers, it is shown that the behaviour and willingness of payment of time-sensitive and non time-sensitive consumers are different for varying lead times. Longer lead times not only generate less utility but impatience influences the decision makers, that is the time elasticity is not constant but it is function of time. For optimization soft computing techniques (particle swarm optimization in this paper) can be efficiently applied. © 2011 Springer-Verlag Berlin Heidelberg.
Open Access: Yes
Fuzzy approach to utility of time factor
Publication Name: Isciii 09 4th International Symposium on Computational Intelligence and Intelligent Informatics Proceedings
Publication Date: 2009-12-28
Volume: Unknown
Issue: Unknown
Page Range: 23-29
Description:
The paper deals with the investigation of the critical factor of the supply chain concerning time factor. The literature review can give a background to understand and handle the reasons and consequences of the growing importance of time. By using utility functions to represent the value of various delivery-times for the different participants in the supply chain, including the final customers, it proves through the Kano-model, that the choices, behaviour and willingness of payment of time-sensitive and non time-sensitive consumers are different for varying lead times, so for optimization soft computing techniques must be applied. As the functions are not linear and significant uncertainty must be handled as well, the use of fuzzy numbers is necessary. The features of fuzzy power functions are investigated, and a parametric approaches is presented that can be an efficient approximation of the values calculated on the basis of extension principle. © 2009 IEEE.
Open Access: Yes
Utility of time factor in logistic optimization
Publication Name: Proceedings 2009 3rd International Workshop on Soft Computing Applications Sofa 2009
Publication Date: 2009-11-25
Volume: Unknown
Issue: Unknown
Page Range: 209-214
Description:
The paper deals with the investigation of the critical factor of the supply chain, with regards to time. The literature review can give a background to understand and handle the reasons and consequences of the growing importance of time. It analyses the time- and place-value of products and it evaluates time by showing theoretical functions as well. By using utility functions to represent the value of various delivery-times for the different participants in the supply chain, including the final customers, it proves through the Kano-model, that the choices, behaviour and willingness of payment of time-sensitive and non time-sensitive consumers are different for varying lead times, so for optimization soft computing techniques must be applied. © 2009 IEEE.
Open Access: Yes
Sustainable Cities by Collaborative Last Mile Parcel Delivery - Live Example Insight
Publication Name: Springer Proceedings in Earth and Environmental Sciences
Publication Date: 2024-01-01
Volume: Part F2516
Issue: Unknown
Page Range: 457-468
Description:
The restrictive measures during the Covid pandemic resulted in an unexpected growth in e-commerce, which growth has continued since the epidemic. The growth of e-commerce also increased the number of last mile parcel delivery transactions. The growth of last mile parcel logistics also resulted in an increasing number of cars, emissions and traffic problems. City governments introduce restrictive measures against increased environmental burdens, which imposes an additional burden on parcel logistics providers. Collaboration among last-mile service providers can assist boost productivity while at the same time lowering harmful environmental effects. However, there is little service provider cooperation in this industry. This study analyses the development of cooperation between service providers based on an examination of a Central-Eastern European Courier, Express, Parcel (CEP) market, which has market characteristics that can be referred to as typical for this area such as: a small number of dominant service providers; a large number of small service providers who are usually subcontractors of the dominant ones; individualistic operation. The market structure of the example country being presented is oligopoly, which is typical of the CEP market of the countries in the region. The analysis of the Hungarian market is supplemented by the creation of a model that simulates cooperation, which shows that the quantity of delivery vehicles, the distance travelled by the trucks, and the degree of environmental impact brought on by all of this can be decreased.
Open Access: Yes
Achieving Sustainable Supply Chains: Applying Group Concept Mapping to Prioritize and Implement Sustainable Management Practices
Publication Name: Logistics
Publication Date: 2025-09-01
Volume: 9
Issue: 3
Page Range: Unknown
Description:
Background: Sustainability in supply chain management (SCM) practices is becoming increasingly important as environmental responsibility and social concerns, as well as enterprises’ competitiveness in terms of innovation, risk, and economic performance, become increasingly urgent. This paper aims to identify and prioritize concepts for implementing sustainable supply chains, drawing on sustainable supply chain management (SSCM) and green supply chain management (GSCM) techniques. Corporate supply chain managers across various industries, markets, and supply chain segments brainstormed management practices to enhance the sustainability of their supply chains. Four industry sectors were surveyed across five different value chain segments. Methods: A group concept mapping (GCM) approach incorporating multi-dimensional scaling (MDS) and hierarchical cluster analysis (HCA) was used. A hierarchy of practices is proposed, and hypotheses are developed about achievability and impact. Results: A decision-making matrix prioritizes eight solution concepts based on two axes: impact (I) and ease of implementation (EoI). Conclusions: Eight concepts are prioritized based on the optimal effectiveness of implementing the solutions. Pattern matching reveals differences between emerging and developed markets, as well as supply chain segments, that decision-makers should be aware of. By analyzing supply chains from a multi-part perspective, this research goes beyond empirical studies based on a single industry, geographic region, or example case.
Open Access: Yes
