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The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach 20th

The Faculty Assignment Problem in Higher Education: A Shaple...

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20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Verykios, Vassilios S. Paxinou, Evgenia Gkoulalas-Divanis, Aris Tzagarakis, Manolis Kotsiantis, Sotirios Feretzakis, Georgios Kalles, Dimitris Hellen Open Univ Sch Sci & Technol Parodos Aristotelous 18 St Patras 26335 Greece Dublin Docklands Healthcare Merat Dublin 2 Ireland Univ Patras Dept Econ Patras 26504 Greece Univ Patras Dept Math Patras 26504 Greece

ISBN: (纸本)9783031632259;9783031632235;9783031632228

This paper explores the Faculty Assignment Problem in Higher Education with a focus on the Hellenic Open University (HOU), a Distance-Learning Institution. Addressing the challenge of assigning faculty members to teach diverse modules, the paper introduces a Shapley Value-based approach from cooperative game theory. This methodology balances individual faculty expertise across various cognitive subjects, ensuring a more equitable and effective teaching assignment process. It is particularly relevant given the complexity of evaluating over 15,000 candidates for adjunct tutor positions at HOU, where injustices and objections may arise due to the large pool of applicants. The proposed approach, by considering the strategic importance of individual expertise in less represented subjects, aims to enhance the overall quality of education in multidisciplinary and diverse educational programs.

关键词： Higher Education Faculty Assignment Problem Shapley Values Scholarly Collaboration Coalitions in Cooperative Games

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A Methodology for Identification of Reconfigurability Enablers and Application in a Manufacturing System 43rd

A Methodology for Identification of Reconfigurability Enable...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Napoleone, Alessia Andersen, Rasmus Andersen, Ann-Louise Brunoe, Thomas Ditlev Nielsen, Kjeld Delft Univ Technol Mekelweg 2 Delft Netherlands Aalborg Univ Fibigerstr 16 DK-9220 Aalborg Denmark

ISBN: (纸本)9783031716355;9783031716331;9783031716324

Manufacturing systems are continually challenged by evolving market demands, environmental constraints, and regulatory uncertainties. Manufacturers therefore need to develop and implement the reconfigurability capability to rapidly and cost-effectively adapt to new requirements throughout their life cycles. To this end, reconfigurability enablers -physical or logical factors that facilitate such adjustments- are needed. To support the identification and implementation of necessary reconfigurability enablers in existing factories and manufacturing systems, this study proposes a structured methodology to identify and select reconfigurability enablers and applies it within a case study in a brownfield factory . In the case study, an existing factory was analyzed. The current configuration was investigated, including the characterization of strategic requirements and anticipated trends. The analysis allowed to identify and select reconfigurability enablers for the manufacturer. The preliminary findings from the case study underscore the need to further implement and validate the methodology in industrial cases. The proposed methodology provides a foundation for future research on the systematic design of reconfigurability enablers. This study emphasizes the necessity for systematically designing reconfigurability enablers at various levels of detail, highlighting how enablers at workstation and system levels influence each other.

关键词： Reconfigurable Manufacturing System (RMS) Resilient Manufacturing System Life Cycle Reconfigurability Strategy Reconfigurability Enablers

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Digital Twins (DT) Applied to the Customization of 3D Printed Scara Robots Using Intelligent Manufacturing 43rd

Digital Twins (DT) Applied to the Customization of 3D Printe...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Celestino Lopes, William Aparecido Rusteiko, Adilson Cunha Mendes, Cleiton Rodrigues Cruz Honorio, Nicolas Vinicius Okano, Marcelo Tsuguio Paulista Univ UNIP Sao Paulo SP Brazil SENAI Sao Paulo SP Brazil Univ Estadual Campinas Limeira SP Brazil

ISBN: (纸本)9783031716355;9783031716331;9783031716324

The study presented the successful development of a digital twin using Blender software, the BlendixSerial library and a Scara robot built by 3D printing and controlled by an Arduino Uno R3 microcontroller. Choosing open-source tools not only reduced costs by eliminating the need for costly licenses, but also allowed efficient customization of the system to meet specific project needs. The results obtained demonstrated the ability of the digital twin to operate satisfactorily, enabling precise synchronization of movements between the physical robot and the virtual model through a low-cost project. Using the BlendixSerial library, efficient communication was established between the microcontroller and Blender, allowing control of the robot's motors directly from the 3D simulation environment. During the tests, it was observed that the Scara robot, with two 180 degrees MG996R servomotors for the X and Y axes, and one 360 degrees MG966R servomotor for the Z axis, could perform fluid and precise movements. However, some intermittent failures were identified in the processing of servomotors by the Arduino Uno R3 due to limited hardware processing capacity. The work significantly contributes to advancing research into low-cost digital twins by providing an affordable and effective framework for simulation and analysis of physical systems. With continuous improvements in the hardware and software used, digital twins are expected to become an even more powerful tool in industrial and educational applications.

关键词： Digital twins 3D printing SCARA Robot Blender Physical-virtual integration

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Enhancing Malware Detection Through Machine Learning Using XAI with SHAP Framework 1

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20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Basheer, Nihala Pranggono, Bernardi Islam, Shareeful Papastergiou, Spyridon Mouratidis, Haralambos Anglia Ruskin Univ Sch Comp & Informat Sci East Rd Cambridge England Maggioli SpA Res & Innovat Santarcangelo Italy Univ Piraeus Dept Informat Piraeus Greece Univ Essex Inst Analyt & Data Sci Colchester England

ISBN: (数字)9783031632112

ISBN: (纸本)9783031632136;9783031632112;9783031632105

Malware represents a significant cyber threat that can potentially disrupt any activities within an organization. There is a need to devise effective proactive methods for malware detection, thereby minimizing the associated risks. However, this task is challenging due to the ever-growing volume of malware data and the continuously evolving techniques employed by malicious actors. In this context, machine learning models offer a promising approach to identify key malware features and facilitate accurate detection. Machine learning has proven to be effective in detecting malware and has recently gained widespread attention from both the academic and research sectors. Despite their effectiveness, current research on machine learning (ML) models for malware detection often lacks necessary explanations for the selection of key features. This opacity of ML models can complicate the understanding of the outputs, errors, and decision-making processes. To address this challenge, this research uses Explainable AI (XAI), particularly the SHAP framework, to enhance transparency and interpretability. By providing extensive insights into how each feature contributes to the model's conclusions, the approach further improves the model's accountability. An experiment was conducted to demonstrate the applicability of the proposed method, beginning with the training of the chosen machine learning models, including Random Forest, Adaboost, Support Vector Machine and Artificial Neural Network, for detecting malware, and concluding with the explanation of the decision-making process using XAI techniques. The results showed high accuracy in malware detection, along with comprehensive explanations of the feature contributions, which justifies the outputs produced by the models.

关键词： Explainable Artificial Intelligence Cyber Security SHAP Malware Detection Artificial Neural Network Random Forest

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Characterising the Relationship Between Environmental Sustainability and Resilience in Manufacturing 43rd

Characterising the Relationship Between Environmental Sustai...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Charli, Arpita Despeissel, Melanie Holgado, Maria Johansson, Bjorn Stahre, Johan Chalmers Univ Technol Horsalsvagen 7A S-41296 Gothenburg Sweden Univ Sussex Dept Management Business Sch Brighton E Sussex England

ISBN: (纸本)9783031716249;9783031716225;9783031716218

The study of resilience has grown since the 70s, with the impacts of the Covid-19 pandemic and geo-political issues around the world more recently influencing manufacturing supply chain operations. Moreover, sustainable supply chains will continue to drive businesses to operate in more competitive environments where there is resource scarcity, demand uncertainty, environmental concerns from stakeholders, etc. Few studies have attempted to study the synergies and trade-offs between sustainable and resilient practices for manufacturing;however, these findings are insufficient and need further exploration. This study explores the relationship between environmental and manufacturing resilience practices to support decision-making in dynamically changing environments and jointly build resilient and green SCs. This characterisation was studied based on four relationships-whether they were equivalent, supporting, competing/incompatible, or overlapping. The study hence advances the understanding of the relationships between manufacturing resilience and sustainability considering the uncertain context within which manufacturing supply chains currently operate.

关键词： Environmental Sustainability Green Manufacturing Resilience Manufacturing Supply chains Industry 5.0

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Dynamic Pricing for Fashion Supply Chain with Blockchain Supported Value Authentication 43rd

Dynamic Pricing for Fashion Supply Chain with Blockchain Sup...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Wang, Wenjie Song, Jiayi Liu, Yazhou Donghua Univ Glorious Sun Sch Business & Management Shanghai 200051 Peoples R China

ISBN: (纸本)9783031716355;9783031716331;9783031716324

The fashion industry is facing a challenge in pricing seasonal fashion products. Our study explores the dynamic pricing strategy for fashion supply chain that blockchain technology is employed to enhance fashionably designed value perceived by customers and identify heterogeneous fashion-sensitive customers. We propose pricing models on game theory in the presence of blockchain supported value authentication. Our research indicates that blockchain adoption could enhance the perceived fashion value of customers and further increase the customers'willingness to buy and consequently profit. We compared basic priding (SF) and blockchain common pricing (CP) strategies that heterogeneous fashion-sensitive customers are differentiated by blockchain driven fashion value authentication data. Our results demonstrate that the equilibrium price in blockchain pricing model CP is higher than basic SF. And, the blockchain could increase the expected profit of fashion supply chains.

关键词： Fashion supply chain blockchain technology fashion value perception heterogeneous fashion-sensitive customers personalized pricing

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Digital Twin for Sustainable Systems Methodology: Application in Water Network Management 25th

Digital Twin for Sustainable Systems Methodology: Applicatio...

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25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Maliqi, Mariza Lamy, Damien Grimaud, Frederic Univ Clermont Auvergne CNRS INP Clermont Auvergne Mines St EtienneUMR LIMOS 6158 F-42023 St Etienne France

ISBN: (纸本)9783031717451;9783031717437;9783031717420

Digital twins have emerged as a promising technology in sustainability efforts, particularly in managing critical resources. Of these resources, water has assumed critical importance across various industries, necessitating effective management strategies. This paper explores the application of digital twins that include not only product flow but also other as energy and fluid flow. Our main focus is to build a Digital Twin that serves as a decision-support tool in the context of water distribution across diverse industries with varying needs. Specifically, we propose a digital twin framework aimed at analysing and optimizing water consumption within a collaborative network comprising various stakeholders, for example, water suppliers, regulatory authorities (such as the Prefecture), network controllers, and end-users within a circular economy context. Furthermore, a case study is presented to illustrate the implementation of the initial phases of the proposed framework.

关键词： Digital Twin (DT) Sustainability Production System (PS) Collaborative Network Water management

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A Study of the Impact of Organisational Territoriality on Collaborative Networks: A Case of Project Reservation in State Grid 25th

A Study of the Impact of Organisational Territoriality on Co...

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25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Chen, Shuxu Mu, Wenxin Jin, Xianing Liu, Minghong Gou, Juanqiong Beijing Jiaotong Univ Beijing Peoples R China State Grid Econ & Technol Res Inst Co Ltd Beijing Peoples R China State Grid Xinjiang Econ & Technol Res Inst Urumqi Peoples R China

ISBN: (纸本)9783031717451;9783031717437;9783031717420

In modern organisational management research, territorial characteristics have a non-negligible impact on organisational collaboration. Territoriality's special qualities may have a direct and significant influence on the effectiveness of organizational business collaboration, besides fostering the development of local knowledge to support organizational collaboration indirectly. Therefore, the aim of this paper is to explore how organisational territoriality characteristics affect the efficiency of collaborative networks. To achieve this goal, we propose a method called Territorial Feature Dimension Mining Method Based on Business (TFD-B) on the basis of the Collaborative Context Metamodel. Firstly, when building the collaborative network, the unique business scenario factors of organizational collaboration are taken into account completely. Subsequently, we conduct further mining and sorting to identify the territorial factors that might have an impact on the collaborative network. Finally, the State Grid Power Supply Company is used as a real case to validate the methodology, and we employ QAP analysis to quantitatively investigate the specific influence relationship between these characteristics and the efficiency of the collaborative network. The main contribution of this study is the proposed TFD-B method, which effectively mines the territorial characteristics affecting collaborative networks at the business level.

关键词： collaborative networks territorial characteristics impact studies proximity

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Key Factors for Sustainability along the Lifecycle of Smart Product Service Systems 43rd

Key Factors for Sustainability along the Lifecycle of Smart ...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Wiesner, Stefan Baalsrud, Jannicke Univ Bremen BIBA Bremer Inst Prod & Logist GmbH Hsch Ring 20 D-28359 Bremen Germany KTH Royal Inst Technol Kvarnbergagatan 12 Sodertalje Sweden

ISBN: (纸本)9783031716393;9783031716379;9783031716362

This paper applies an explorative literature review to analyze the generalizability of the lifecycle of industrial smart Product-Service Systems (PSS), comprising both capital goods and associated services. It investigates the factors influencing sustainability throughout this lifecycle, considering the complexities inherent in such systems. The article discusseswhether assessing the sustainability of services versus goods within the PSS framework requires distinct criteria. By analyzing existing lifecycle models and indicator frameworks, the research identifies key dimensions and criteria essential for describing and evaluating economic and environmental sustainability across the lifecycle. Key questions addressed include the identification of dimensions and criteria crucial for sustainability assessment, considering the complexities and uncertainties inherent in the lifecycle of capital goods. The findings provide a first step towards a framework for measuring and improving sustainability within our context. To better understand the dynamics and uncertainties along the lifecycle, enhanced collaboration between the involved domains is recommended. This could be realized through industrial case studies and comprehensive impact assessments.

关键词： Industrial Smart PSS Sustainability Assessment Capital Goods Lifecycle Life Cycle Analysis Economic and Environmental Sustainability

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Unlocking the Potential of Blockchain in Road Freight Transportation Operations 43rd

Unlocking the Potential of Blockchain in Road Freight Transp...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Callefi, Mario Henrique Grzona, Pierre Bueno, Adauto Santos, Dayvid Souza Filho, Moacir Godinho Tech Univ Chemnitz Chair Factory Planning & Intralogist D-09125 Chemnitz Germany Mato Grosso Univ State Dept Ind Engn Barra Do Bugres Brazil Fed Univ Bahia UFBA Dept Ind Engn Salvador BA Brazil EM Normandie Business Sch Dept Supply Chain Management & Decis Sci Metis Lab 20 Quai Frissard F-76600 Le Havre France Univ Fed Sao Carlos Dept Prod Engn Washington Luis Rd S-N BR-13565905 Sao Carlos SP Brazil

ISBN: (纸本)9783031716355;9783031716331;9783031716324

Road freight transportation operations are impact companies and countries economically and socially, making it critical to utilize technologies that increase its efficiency. Blockchain is one of the increasingly key technologies in the supply chain context, including freight operations. Although several studies have been conducted to investigate blockchain's role in supply chains, there is still a lack of research on freight transportation, specifically related to blockchain-enabled capabilities. Our study identified a blockchain-enabled capabilities framework that enables an understanding of blockchain's role in road freight transportation operations. This framework will support operators in determining which capabilities should be prioritized for higher visibility and efficiency in road freight transportation operations.

关键词： Blockchain Freight transportation Interpretive Structural Modeling (ISM) Supply chain

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