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Human and Machine Complementary Roles in Collaborative Evaluation of Creative Speech
No full textPart 2: Human-Machine CollaborationInternational audienceThis paper explores the complementary roles of humans and machines in the collaborative evaluation of creative speech, aiming to enhance the accuracy, reliability, and efficiency of creativity assessments. Traditional methods of evaluating creative speech primarily rely on human judges, who bring intuition and contextual understanding but are limited by subjectivity and scalability challenges. Conversely, artificial intelligence offers computational power and consistency but lacks the complex judgment that human evaluators provide. This research aims to investigate the divergent and convergent aspects of each evaluation and highlight the importance of co-creative collaboration between humans and machines. We utilize the Torrance Tests of Creative Thinking to assess the 22 creative speech samples of 11 participants, comparing evaluations conducted by human experts, and an AI system (the GPT4). While the results demonstrate a certain degree of correlation between human and AI evaluation especially in evaluating Flexibility, they also reveal the differences in how humans and machines perceive Originality in text
Digital Leadership from the Perspective of Organization 5.0: An Analysis of Key Action Fields towards Green, Resilient, and Human-centered Digitalization
No full textPart 8: Collaborative Networks as Driver of Innovation in Organizations 5.0: ParticipationInternational audienceDigital leadership is discussed as a success critical factor for collaborative digital transformation of businesses and gained increasing importance in industry 4.0. However, recent dynamics like current crises, disruptive changes in corporate environments and ecological challenges demand further development towards industry 5.0 including the collaborative principles of organization 5.0. The concept of organization 5.0 complements the technology-oriented perspective of 4.0 towards a broader vision considering digitalization as the key enabler for an ecological, resilient, and human-centered transformation of industries and organizations. In the present article, we analyze key action fields of digital leadership gaining relevance in Organization 5.0. These action fields of digital leadership are introduced along the three pillars of Organization 5.0 described as resilience, green and human-centricity
Digital Twin for Sustainable Systems Methodology: Application in Water Network Management
No full textPart 3: Fostering Collaborative and Interoperable Digital Models for Digital Twins: MethodsInternational audienceDigital 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
Navigating Unpredictability: Collaborative Networks in Non-linear Worlds: 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Albi, France, October 28–30, 2024, Proceedings, Part II
No full textInternational audienceThis two-volume set, IFIP AICT 726 and 727, constitutes the refereed proceedings of the 25th IFIP WG 5.5 Working Conference on Virtual Enterprise, PRO-VE 2024, held in Albi, France, during October 28–30, 2024.The 56 full papers presented in these two volumes were carefully reviewed and selected from 113 submissions. The papers presented in these two volumes are organized in the following topical sections:Part I: AI and collaboration; Human-machine collaboration; Emotions and collaborative networks; Collaborative ecosystems: Skills for resilient futures; Collaborative ecosystems: Technologies for resilient futures; Uncertainty and collaboration in supply chain; Collaborative networks as driver of innovation in organizations 5.0: Models; Collaborative networks as driver of innovation in organizations 5.0: Participation; Trust and trustworthy technologies in collaborative networks.Part II: Empowering vulnerable populations well-being through collaborative networks; Collaborative manufacturing systems in the digital era; Fostering collaborative and interoperable digital models for digital twins: Methods; Fostering collaborative and interoperable digital models for digital twins: Cases; Zero defects and zero waste strategies in industrial collaborative networks; Simulation frameworks; Collaborative decision making; Design of collaborative environments
CitySIM – Agent-Based System for Modelling and Simulating Cities as Complex Adaptive Systems for Collaborative Governance
No full textPart 6: Simulation FrameworksInternational audienceCities are complex entities that consists of many systems that interact with one another. Cities are expected to grow in size and diversity, face diminishing resources, climate decay, which all pose challenges to the governance of cities. These call for new ways of understanding cities and innovative approaches to simulate cities and their sub-systems. Complex Adaptive Systems have been used to describe and create simulation models of cities. This paper presents an agent-based model of a city, CitySim, which focuses on how traffic in the city evolves as various entities within the city change. The main research question this paper addresses is how could we create a model of a city as a Complex Adaptive System? The CitySim model was created using the Design Science Research Method. The benefits and challenges of the model are described through simulation experiments using the model
Value Systems for the Parallel Implementation of Value-Retention Circular Strategies in the White Goods Industry
No full textPart 7: Collaborative Decision Making 303International audienceTransitioning to a circular economy fundamentally changes the traditional, linear economic model. Establishing circular strategies requires adapting and expanding the roles within the value system to realize the decoupling of economic growth and resource consumption. In particular, a combination of several value-retention strategies implemented in parallel can increase the ecological and economic potential of circular economy. However, there is a lack of description of this type of value system in relation to the new required activities, and the resulting material and information flows within the value system. For this reason, literature research and exploratory analyses through expert workshops were used to identify variants for implementing the value system. The results include the definition of five possible variants of a value system for the parallel implementation of value-retention circular strategies in the white goods industry. The five possible variants are necessary to enable sustainable collaboration strategies between different stakeholders from which all of the stakeholders can benefit. The new activities for enabling the various value-retention strategies, e.g., product evaluation or disassembly, are distributed differently across the stakeholders of the value systems per variant. This leads to distinct material and information flows per variant
Smart Master Production Scheduling by Deep Reinforcement Learning: An Exploratory Analysis
No full textPart 5: Zero Defects and Zero Waste Strategies in Industrial Collaborative NetworksInternational audienceBy providing a consolidated view of demand, production capacity and inventory status, the master production schedule (MPS) enables collaborative networks to be optimised, planned and coordinated, which leads to more robust strategic decision making. In this context, flexibility, agility and automation are key elements to consider, and make machine-learning methods strong candidates for problem modelling. This paper researches some modelling alternatives to address the MPS problem subject to the eventuality of unsatisfied demand due to production capacity and inventory constraints by the deep reinforcement learning (DRL) method. The modelling of observation space, action space and reward function, and the choice of the DRL algorithm, among some of those currently at the forefront of the technique, are analysed and discussed. The sensitivity to the problem dimension, as a function that depends mostly on the number of considered product references, is also approached. As a major contribution, this study constitutes a valuable step prior to final modelling and subsequent validation by clearing the way for a wide range of possible implementations
A Study of the Impact of Organisational Territoriality on Collaborative Networks: A Case of Project Reservation in State Grid
No full textPart 8: Design of Collaborative EnvironmentsInternational audienceIn 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
Software Testing Approach for Digital Twin Verification and Validation
No full textPart 3: Fostering Collaborative and Interoperable Digital Models for Digital Twins: MethodsInternational audienceThe increasing use of Digital Twin (DT) solutions in different domains demands for development of Verification and Validation (V&V) frameworks to guarantee the effectiveness of the implemented DTs. However, a considerable research gap has been identified in this field. Current state of the research is mainly concentrated on V&V of models in DTs and excluded important aspects such as data interoperability and functionality of DT services. To extend the scope of V&V, it is crucial to include these aspects. This paper presents a novel framework for V&V of DTs that considers all the mentioned aspects. This framework combines formal methods with software testing methods for V&V. It utilizes formal methods in a top-down manner and it will then use the software testing methods in a bottom-up manner
Closing the Gap: Leveraging Mass Collaboration to Support People with Disability
No full textPart 1: Empowering Vulnerable Populations Well-being through Collaborative NetworksInternational audienceThis paper explores the potential of mass collaboration to improve the quality of life for people with disability (PwD), a group representing approximately 16% of the global population. Accessibility remains a significant challenge for PwD, impacting physical navigation, information access, and social participation. Additionally, disparities in healthcare, education, employment, and social support exacerbate these issues. Addressing these challenges requires a collaborative, inclusive approach, including co-creating knowledge with input from PwD, caregivers, policymakers, and other stakeholders to ensure initiatives are relevant, effective, and sustainable. In this context, this work outlines a framework for enhancing well-being through mass collaboration, focusing on four key objectives: identifying current support initiatives across governmental, societal, and technological dimensions; illustrating the benefits of mass collaboration tools through user-centric scenarios; describing existing mass collaboration initiatives as benchmarks for developing a knowledge network; and proposing a conceptual architecture for a mass collaboration platform specifically designed for PwD