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Synthesizing Timed Automata with Minimal Numbers of Clocks from Optimised Timed Scenarios
No full textPart 1: Full PapersInternational audienceWe address the problem of synthesizing a timed automaton from a set of optimised timed scenarios, and present a simple, efficient algorithm that solves the problem. Under a simplifying assumption about the set of scenarios we show that our synthesized automaton has the minimal number of clocks in the entire class of language-equivalent automata
Artificial Intelligence Reshapes Supply Chain and Lean: Framework and Main Insights
No full textInternational audienceSmart manufacturing leverages various Industry 4.0 technologies to enhance the operational performance of manufacturing systems, strengthening their reconfigurability and resilience within Supply Chains (SC). Artificial Intelli-gence (AI) stands out as one of the most potent technologies driving these advancements, fundamentally reshaping SC behaviors. Concurrently, Lean production methodologies are employed to optimize manufacturing systems, synergizing with AI to reinforce technological efficiency. Recognizing the necessity of AI across diverse SC domains such as production, maintenance, logistics, supply, and quality, becomes imperative to comprehend its utility, applicability, and relevance. This paper tries to elucidate the role, limitations, and application framework of AI within Supply Chain Management (SCM), shedding light on its integration into contemporary SC paradigms. By updat-ing existing knowledge on AI applications in SCM and sustaining Lean Pro-cesses, the authors address the evolving landscape of SC dynamics. Embrac-ing this new era, the authors aim to delineate the boundaries of AI in SCM and articulate a framework for its prudent inclusion in the modern world. The Supply Chain Operations Reference (SCOR) model is utilized to contex-tualize the vast potential of AI, opening a rapidly evolving collaborative network facilitated by AI applications and decision support tools
An OpenWhisk Extension for Topology-Aware Allocation Priority Policies
No full textPart of the 19th International Federated Conference on Distributed Computing Techniques, DisCoTec 2024 Part 4: Tool PapersInternational audienceThe Topology-aware Allocation Priority Policies (tAPP) language allows users of serverless platforms to orient the scheduling of their functions w.r.t. the topological properties of the available computation nodes. A tAPPbased platform can support multiple scheduling policies, which one would usually enforce via (brittle) ad-hoc multi-instance platform deployments. In this paper, we present an extension of the Apache OpenWhisk serverless platform that supports tAPP-based scripts. We show that our extension does not negatively impact the performance of generic, non-topology-bound serverless scenarios, while it increases the performance of topology-bound ones
Digital Twins (DT) Applied to the Customization of 3D Printed Scara Robots Using Intelligent Manufacturing
No full textPart 3: Computer Vision-based Digital Twin and Digital Services for Dynamic Production and Logistics EnvironmentInternational audienceThe 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 180º MG996R servomotors for the X and Y axes, and one 360º 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
Disruptive Innovation in a Digitally Connected Healthy World: 23rd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2024, Heerlen, The Netherlands, September 11–13, 2024, Proceedings
No full textInternational audienceBook Front Matter of LNCS 1490
Exploring the Productivity Impacts of Generative AI in Organizations
No full textPart 1: Artificial Intelligence Adoption and ImpactInternational audienceThis research paper explores the impact of Generative AI (GenAI) on human productivity within organizations, focusing on the perspective of employees. Using an exploratory case-study method, we conducted semi-structured interviews with 17 participants from various roles to understand how GenAI impacts work process and productivity. Our findings suggest that these tools can automate routine tasks and enable new workers to acquire skills rapidly, but that GenAI adoption may also entail time-consuming upskilling for individuals and undermined team workflow. Furthermore, by employing a Human Resources Management (HRM) perspective, this paper contributes to the Information Systems (IS) literature by offering a nuanced understanding of the organizational impacts of GenAI, suggesting that a balanced approach seems essential to maximize the potential benefits while limiting the drawbacks of these new tools
Navigating Challenges and Pitfalls in DevOps-Driven Digital Transformation
No full textPart 2: Digital Transformation and Organizational InnovationInternational audienceAs technology evolves, businesses must adapt to changing market demands by adopting digital transformation. To tackle these challenges successfully, businesses must adopt effective software development practices like DevOps and create a culture supporting digital transformation. This paper explores how DevOps practices and culture can facilitate digital transformation within organizations. We have interviewed 10 professionals to understand these organizational changes through digital transformation issues. Our findings suggest that (1) Cost Considerations, (2) Skill Gaps and Training, (3) Resistance to Change, (4) Risks in Rapid Deployment, (5) Collaboration Challenges, (6) Compliance and Security,(7) Scalability Issues, (8) Cost Optimization Strategies are vital factors that companies face when a company goes through digital transformation phases. By understanding and addressing these influencing factors for digital transformation for DevOps practices, organizations, and DevOps professionals can navigate digital transformation successfully, drive innovation, and compete effectively in today’s dynamic business landscape
Technology for Social Connectedness: A Case Study in Academic Communal Spaces
No full textPart 3: Healthcare, Social Well-Being, and EthicsInternational audienceStudents in the early stages of their studies are prone to isolation. This case study focuses on doctoral students and empirically investigates the potential of Information and Communication Technologies in academic communal spaces to enhance social connectedness. To do so, we conducted a qualitative exploratory study that employed semi-structured interviews. In particular, we interviewed 7 doctoral students and asked them about their understanding and perceptions of integrating technologies in communal spaces. We utilized brochures of fictional technologies and worksheets to probe and elucidate students’ insights on social connectedness. The coding of the interview corpus suggested that technologies can significantly foster social connectedness by facilitating traditional socializing practices in the academic communal spaces. Additionally, data highlighted the preference for technologies that facilitate student collaboration in addressing academic and practical challenges while emphasizing the importance of incorporating privacy measures to foster positive interactions. This study contextualized the framework of social connectedness by operationalizing its dimensions—belongingness, social appraisal, and relationship salience. The implications of this research extend to educational policymakers, and technology developers, indicating that integrating technologies in communal areas mitigate feelings of isolation among doctoral students and develop inclusive communities
Generation Z Technological Frames of AI Game-Based Assessment
No full textPart 1: Artificial Intelligence Adoption and ImpactInternational audienceThe use of AI systems in the selection of job applicants is growing rapidly. While scholars have debated potential benefits to employers and job seekers, there is little empirical research on its actual use. In particular, there is little empirically known about job seekers experience of using it and in particular those from generation Z who are trying to enter the job market. Considering its importance, this study questions: How job applicants perceive AI Game-based Assessment and How this impact their use pattern? Through qualitative approach and adoption of Technological Frames Theory, our findings identify three aspects of technological frames and show that the experiences of Gen Z applicants differ based on the emphasis they put on each of them. This results in different experience of stress and enjoyment. The study contributes to the AI literature and particular its use in hiring and draw practical conclusions
Adopting Disruptive Technologies: The Aligning Role of Intermediary Organizations
No full textPart 2: Digital Transformation and Organizational InnovationInternational audienceThis paper analyses the challenges in the adoption of blockchain-based technologies by looking at the role of intermediary organizations. It adopts a multi-stakeholder approach, conducting interviews with key stakeholders across the value chain of utility tokens, a potentially disruptive blockchain-based innovation. These include the developers of the tokens; sports organizations who have taken sponsorships from utility tokens, as intermediary organizations; and potential end-consumers, the fans of those sports organizations. The findings reveal persistent mismatches between the value offer of developers of the innovative technology and consumer expectations and the perceived utility value of tokens, which is compounded by organizational constraints and environmental factors. Limited organizational capacity within sellers significantly contributes to poor communication and the tokens’ failure to meet consumer expectations. The study highlights the complex interplay of numerous factors influencing adoption intentions at both organizational and consumer levels, underlining the need for intermediary organizations to develop buy-in around a disruptive innovation. Successful intermediaries need to deploy the necessary organization and technological resources to understand and actively align other stakeholders’ objectives and needs