{"title":"Intellectual Capital in Construction SMES","authors":"André Sucena , Florinda Matos , António Nunes","doi":"10.1016/j.procs.2025.01.069","DOIUrl":"10.1016/j.procs.2025.01.069","url":null,"abstract":"<div><div>This study examines the critical role of intellectual capital in enhancing the performance of small and medium-sized enterprises in the construction industry. Emphasizing the synergistic support of knowledge management and strategic partnerships, the research aims to unravel the nuanced dynamics that contribute to organizational success. Intellectual capital, which includes relational, structural, and human elements, is recognized as a critical asset in the construction industry. The study uses a comprehensive framework to assess IC components and their impact on the operational effectiveness of SMEs. Using knowledge management practices, SMEs can systematically harness and optimize their intellectual capital, fostering innovation and adaptability. Strategic partnerships emerge as a catalytic force that amplifies the impact of intellectual capital. Collaboration with external entities facilitates knowledge sharing, technology adoption, and market responsiveness. This study underscores the imperative for construction SMEs to recognize intellectual capital as a cornerstone for sustainable growth. By intertwining effective knowledge management initiatives and strategic partnerships, SMEs can unlock their full potential, overcome industry challenges, and achieve lasting success. Embarking on these diverse research paths promises a comprehensive understanding of the interplay between intellectual capital, knowledge management, and strategic partnerships in construction SMEs. The dynamic nature of the construction business environment presents an additional challenge. The sector is subject to rapid changes in regulatory frameworks, market conditions and technological advances. The interaction between the concepts in the article is crucial in differentiating companies, especially those in the construction industry, and driving them towards long-term success.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 59-66"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling and assessment of obstacles to energy saving technological changes: the case of Ukrainian industrial enterprises","authors":"Olexandr Yemelyanov , Tetyana Petrushka , Orest Koleshchuk , Kateryna Petrushka , Dmytro Havras","doi":"10.1016/j.procs.2025.01.154","DOIUrl":"10.1016/j.procs.2025.01.154","url":null,"abstract":"<div><div>A model of the formation of obstacles that arise on the way to the implementation of energy-saving technological change projects by enterprises is built. The generalised and partial indicators for assessing these obstacles are highlighted. A method for decomposing the generalised indicator for assessing barriers to energy-saving technological changes at enterprises has been developed. The developed theoretical foundations have been tested on the example of Ukrainian industrial enterprises. The conducted empirical analysis, in particular, showed that the average values of the generalised level of barriers are quite high and amount to: for enterprises producing metal products – 0.423, for enterprises producing glass products – 0.386, and for enterprises producing clay products – 0.468. Thus, the majority of the surveyed enterprises need to implement measures to overcome the barriers that arise when implementing energy-saving technologies. In particular, enterprises need to obtain additional financial resources and improve the competence of their employees.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 922-931"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Fahad Sheikh , Dr. Regina Padmanabhan , Dr. Majed Hadid , Dr. Laoucine Kerbache
{"title":"Towards Additive Manufacturing Enabled Sustainable Spare Parts Supply Chain: A Multi-Objective MILP Model for Cost and Carbon Emissions Minimization","authors":"Muhammad Fahad Sheikh , Dr. Regina Padmanabhan , Dr. Majed Hadid , Dr. Laoucine Kerbache","doi":"10.1016/j.procs.2025.01.157","DOIUrl":"10.1016/j.procs.2025.01.157","url":null,"abstract":"<div><div>Additive manufacturing (AM) enables on-demand production of spare parts and enhances supply chain visibility by downstream shift of part production; however, it poses supply chain redesign challenges. Integration of sustainability objectives into AM spare parts supply chains is vital to evaluate the long-term transition potential of AM to meet global environmental goals and enhance corporate social responsibility. Developing a multi-objective model is critical to address the complex interaction between economic viability and environmental sustainability in AM-enabled spare parts supply chains. This study proposes a mixed integer linear programming model formulated as a bi-objective optimization problem to minimize the costs and carbon emissions of the AM-enabled spare part supply chain operations. A lexicographic approach was used to solve this bi-objective optimization problem with the Gurobi solver. If the cost objective function is given high priority, the optimal cost value is $5,900171 and the total carbon emissions obtained are 138.1 <em>tCO2e</em>. If the environmental objective is given higher priority, the optimal carbon emissions value is reduced to 128.9 <em>tCO2e</em>, however, the cost value obtained is significantly higher at $6523143. These results provide valuable insights for strategic decision-makers to carefully consider the trade-offs between cost and environmental objectives to achieve the desired balance.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 952-963"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distribution logistics network optimization with a multi-distribution center considering carbon emission: A case study in the petrochemical industry in Thailand","authors":"Wirachchaya Chanpuypetch , Duangpun Kritchanchai , Sermpong Niemsakul , Jirawan Niemsakul","doi":"10.1016/j.procs.2025.01.087","DOIUrl":"10.1016/j.procs.2025.01.087","url":null,"abstract":"<div><div>The study explores the optimization of the distribution network for a petrochemical business in Thailand, facing intense competition and market share loss to foreign competitors. Aiming to expand its domestic market, the business seeks to enhance its distribution network by adding a new distribution center (DC). Given the industry’s environmental impact concerns, the study also focuses on reducing the environmental footprint of its supply chain and logistics activities. Despite extensive research on distribution network optimization, there remains a gap in understanding the integrated approach that simultaneously address economic efficiency, customer responsiveness, and environmental sustainability within the petrochemical sector in Thailand. This research proposes various scenarios for the distribution network, considering candidate DC locations based on current customer distributions, particularly in the Bangkok Metropolitan Area and Laem Chabang (LCB) port, along with potential hinterland arears. The analysis evaluates key performance metrics, including responsiveness, economic efficiency, and environmental impact. The findings indicate that the optimal scenario involves operating two DCs: the existing DC and a new DC in Samut Prakarn Province, significantly improving customer responsiveness. However, the results reveal that cost reduction does not directly correlate with decreased GHG emissions. The study underscores the need for businesses to define clear objectives, such as cost reduction, improved customer service, market expansion, or environmental sustainability, before redesigning distribution networks. A comprehensive evaluation of criteria, including social, opportunities, infrastructure, accessibility, resilience, and cybersecurity, is essential for informed decision-making, leading to improved cost efficiency, customer service, and operational agility.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 237-246"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
André M. Carvalho , Sónia Soares , João Montenegro , Lígia Conceição
{"title":"Data Quality: revisiting dimensions towards new framework development","authors":"André M. Carvalho , Sónia Soares , João Montenegro , Lígia Conceição","doi":"10.1016/j.procs.2025.01.088","DOIUrl":"10.1016/j.procs.2025.01.088","url":null,"abstract":"<div><div>In today’s information-driven world, accessible, reliable, and accurate data is crucial for informed decision-making and effective operations across various domains. Within this context, ensuring Data Quality is crucial to maximizing the added value of the information shared. However, assessing Data Quality presents challenges due to several aspects, such as the lack of consensus on which quality dimensions constitute it, or the absence of systematic methodologies for the development of quality frameworks. This study addresses these issues by identifying commonly used quality dimensions and proposing a structured approach to facilitate and foment effective quality assessment and assurance mechanisms. To that end, we conducted a comprehensive literature review regarding Data Quality dimensions and aggregated the identified ones into an intelligible structure. Through this process, 66 quality dimensions were identified and a coherent arrangement that allows for the proper development of quality frameworks was proposed. The results showcase a robust and adaptable structure offering valuable insights for practitioners and researchers. This contribution significantly enhances the overall understanding and application of data quality dimensions, thereby advancing the development of effective data quality frameworks.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 247-256"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Human-centered operations in transportation: New foundations for driver safety by a review regarding attention and chronotype","authors":"Maria Keil , Matthias Klumpp","doi":"10.1016/j.procs.2025.01.084","DOIUrl":"10.1016/j.procs.2025.01.084","url":null,"abstract":"<div><div>Human-centricity is gaining attention and importance in operations management and research due to specific joint advantages for firms and workers. Yet, the accessible knowledge base regarding human operator physiology and psychology is not adequately available to the field of operations management, and a lack of knowledge towards individual differences that affect operational task performance in manufacturing and transportation prevails. In this paper, a structured literature review is conducted analyzing the psychological elements of attention, arousal and chronotype from driving-related application areas to establish a knowledge base for these important elements regarding the health and safety of truck drivers as an important occupational group in transportation and operations. This provides an important contribution as state-of-the-art mapping incorporating neighboring fields like driver physiology, psychology, and medicine in order to inform elaborate Driver 5.0 concepts in line with human-centric operations in transportation and logistics.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 209-216"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Generalized Mean and Social Distance Metric for Smart Manufacturing Tasks","authors":"Vagan Terziyan , Oleksandra Vitko","doi":"10.1016/j.procs.2025.01.077","DOIUrl":"10.1016/j.procs.2025.01.077","url":null,"abstract":"<div><div>This paper addresses a critical gap in the artificial intelligence (AI) and machine learning (ML) capabilities used in smart manufacturing by integrating an adaptive generalized mean function and a generalized social distance metric. Current AI/ML approaches often struggle with the dynamic, heterogeneous nature of manufacturing environments. Our proposed framework offers a flexible, context-aware solution for tasks such as clustering and data aggregation in the Industry 4.0 and 5.0 landscapes. Generalized mean functions offer flexibility in data aggregation, while the social distance metric provides new insights into data relationships, including factors like social asymmetry. We presented novel generalized mean function on the basis of Lehmer mean and enhanced by the sigmoid-logit pair. Such a mean can be controlled by two trainable parameters and has several useful properties for various ML and AI tasks. We presented also two options for the generalized social distance metric, each utilizing the suggested generalized mean function in different ways. The first one is based on social asymmetry of the neighborhoods in data distribution. The second one measures the distance between the centroids of corresponding social context areas. Our approach offers practical benefits for a variety of smart manufacturing tasks, effectively addressing the limitations of existing methods.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 134-145"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simone Balin , Cecilia Maria Bolognesi , Paolo Borin
{"title":"Immersive representation exercise in BIM through the integration of prerequisites and requirements: structuring of an artefact applied to a case study","authors":"Simone Balin , Cecilia Maria Bolognesi , Paolo Borin","doi":"10.1016/j.procs.2025.01.079","DOIUrl":"10.1016/j.procs.2025.01.079","url":null,"abstract":"<div><div>This study explores the level of informational granularity required when immersive technologies are integrated into BIM for collaborative processes in public procurement. Despite advancements in immersive technologies and BIM, there is a significant gap in the standardization and structuring of information for immersive experiences in the AEC sector. Current standards and guidelines primarily focus on structuring and organizing data in a traditional digital environment, overlooking immersive aspects such as representation and interaction within immersive ecosystems. This creates a disparity in the effective use of BIM with immersive technologies. The concept of the Immersive Necessity Level was developed with the aim of addressing all the informational gaps required by immersive ecosystems, which are not currently met by the Informational Necessity Level defined by ISO 7817-1. Through three simulations, the study investigates how data specificity and informational granularity influence users’ immersive experiences. The findings highlight the importance of defining clear prerequisites and requirements when outlining an informational framework using immersive technologies in conjunction with BIM methodology. This study aims to bridge this gap by proposing a structured framework to define the levels of immersive necessity in BIM projects. Furthermore, the research identifies challenges and potential improvements for future investigations, contributing to enhancing the standardization and effectiveness of the use of immersive technologies in the AEC sector.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 155-166"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conceptualizing cognitive and physical worker-technology symbiosis in manufacturing: Lessons from J.A.R.V.I.S.","authors":"Mohsen Moghaddam , Matthias Klumpp","doi":"10.1016/j.procs.2025.01.128","DOIUrl":"10.1016/j.procs.2025.01.128","url":null,"abstract":"<div><div>Smart manufacturing and Industry 4.0 concepts have enabled significant advancements in manufacturing performance, yet they lack a central component: the systematic recognition and analysis of individual human worker situations, motivations, physiologies, and capabilities. This paper proposes a conceptual framework for future human-technology symbiosis in smart manufacturing processes, inspired by the movie “Iron Man” and his assistant “J.A.R.V.I.S.,” representing a fully integrated AI-based robotic and digital support system for individual workers. The core element is the notion of worker individuality, moving beyond traditional distinctions of workers in groups and according to dichotomous scales (e.g., experienced-inexperienced, deaf-not deaf, female-male). A crucial vision for future performance enhancements, both cognitive and physical, is that the technology support system can continuously identify and characterize individual workers’ abilities across a continuous range of relevant profile criteria. This system would automatically adapt the provided technological support, including robotics and AI, to meet the individual needs of each worker. For example, the support system may autonomously adjust a collaborative robot’s actions and strength based on the worker’s physical fitness, or tailor augmented reality guides to their intent, expertise, cognitive abilities, and concurrent attention in real time. As this conceptual paper presents a predominantly futuristic outlook, the core contribution lies in defining the intermediate research questions about realizing such a vision to help the future worker-technology symbiosis become a reality.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 661-672"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Petr Skobelev , Aleksey Tabachinskiy , Elena Simonova , Yulia Zhuravel , Anastasiya Galitskaya
{"title":"Multi-agent digital twin of broccoli: development and test evaluation","authors":"Petr Skobelev , Aleksey Tabachinskiy , Elena Simonova , Yulia Zhuravel , Anastasiya Galitskaya","doi":"10.1016/j.procs.2025.01.027","DOIUrl":"10.1016/j.procs.2025.01.027","url":null,"abstract":"<div><div>Crop production is a complex multi-domain field of knowledge dealing with living objects. Ongoing global climate change has been destroying this long-established sustainable knowledge system. Precise farming needs digital integration of several domain fields: technologies, machinery and equipment, knowledge about plant growth, predicting the impact of activities on crop yield online. Digital twin of plant, mirroring and predicting plant’s state and growth in real-time should be the central element of precision farming system. In the paper, a Smart Plant Digital Twin (SPDT) is proposed as a smart software system with a knowledge base and methods of reasoning. SPDT is developed for online management and simulation of plant behaviour in sync with development of the real plant. A multi-agent implementation of multi-level plant structure is discussed in the paper, which considers crop physiology and resource demand, describing internal processes inside a plant, and a method for calculating the crop parameters and duration of plant development stages based on expert knowledge. Ontological model of SDTP for crop cultivation domain reflects the production process of each field or greenhouse crop and allows the scale up of the number of simulated cultures, specifying the differences between the varieties and cultivars, and widening the effects of agricultural measures. The plant model is illustrated in broccoli growth process. The model was validated in real experiment compared to the growth of real broccoli crops, planted in the Taiwan region, and real data from the field sensors and agronomists from the farms acquired data from their sensors and worked with digital twins of their crops.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"252 ","pages":"Pages 674-683"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}