Digital Manufacturing

Mourtzis, Dimitris; Angelopoulos, John; Panopoulos, Nikos

doi:10.1016/b978-0-323-91614-1.00002-2

Cited by 16 publications

(4 citation statements)

References 80 publications

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“…Simultaneously, innovations in the realms of digital twins and augmented reality facilitate the construction of virtual replicas of these systems for more refined control and decision-making processes. These advancements collectively underscore the indispensable role of intelligent manufacturing and virtual system modeling in improving operational efficacy and control (Mourtzis et al, 2022;Siyaev et al, 2023) and necessary strategies for integrating digital technologies into logistics and supply chain management (Longo et al, 2019).…”

Section: Simulation Platform Features and Industry 40mentioning

confidence: 99%

Exploring educational simulation platform features for addressing complexity in Industry 4.0: a qualitative analysis of insights from logistics experts

Pacheco-Velazquez,

Rodes-Paragarino,

Marquez-Uribe

2024

Front. Educ.

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IntroductionThis study explores the transformative impact of Industry 4.0 on industrial operations, emphasizing the integration of advanced technologies like AI, IoT, and Big Data Analytics to enhance process optimization, automation, and connectivity. Despite its potential for efficiency, Industry 4.0 introduces significant complexities, challenging existing operational and decision-making frameworks. Addressing these challenges, the research investigates the role of simulation platforms in logistics, seeking to identify their critical attributes for effective complexity management. It highlights the need for innovative tools in system evaluation, performance measurement, and skill development, aiming to equip the workforce with essential Industry 4.0 competencies. Through qualitative insights from logistics experts, the study aims to offer practical recommendations for educators and industry professionals, contributing to the design and implementation of educational simulations that align with the intricate demands of Industry 4.0 logistics.MethodsThis study employs a qualitative content analysis approach to develop an Industry 4.0-adapted logistics simulator, leveraging the Asteraceae framework for digital game co-design and pedagogical reflection. Data were collected from six industry and academia experts through semi-structured interviews, designed around the framework’s key steps to explore simulator design, decision-making, impact, and skill development. Utilizing convenience sampling, the research engaged participants with experience in educational logistics platforms and simulators. Interviews were conducted online, with ethical considerations including informed consent. Transcription used OpenAI’s API for accuracy, followed by manual review. The analysis combined qualitative content with frequency analysis, employing Atlas.ti software to identify and code key simulation features as informed by expert insights. This methodology underscores a comprehensive approach to understanding and innovating logistics education for Industry 4.0, aiming to equip learners with necessary competencies through targeted simulation tools.ResultsThe study’s findings emphasize the critical role of simulation tools in Industry 4.0 logistics for risk mitigation, operational planning, and decision-making. Experts pointed out the significant benefits of simulations in providing safe spaces for experimentation, especially valuable for SMEs with limited access to advanced technologies. They advocated for simulators to incorporate current technological and e-commerce trends, suggesting a customizable business model based on diverse logistics requirements. Key insights included the necessity for adaptable simulation architectures to handle various operational variables, the importance of integrating multidisciplinary competencies like data analytics and strategic management, and the role of performance metrics in evaluating simulations and logistics operations. The analysis revealed essential features for an educational logistics simulator, highlighting the importance of operational knowledge, predictive analytics, and the need for a comprehensive tool that integrates technology, strategy, operations, and data analysis. This approach aims to equip users with the skills necessary for navigating the complexities of modern logistics, promoting a deep understanding of systems thinking and complex reasoning skills.DiscussionThe discussion centers on the essential requirement for a multidisciplinary approach in creating an educational logistics simulator for Industry 4.0, emphasizing the need for technological adaptability and operational efficiency. It highlights the importance of integrating advanced technologies and collaborative paradigms to enhance logistics operations and improve decision-making processes. The utility of simulation-based learning as a pedagogical tool is acknowledged, with an emphasis on its role in developing complex thinking and practical skills relevant to the digital transformation of the logistics sector. The discussion suggests that educational simulations are poised to play a pivotal role in preparing the workforce for Industry 4.0 challenges by bridging technological advancements and pedagogical strategies. However, it also points to the limitations of the current study, such as its sampling method and regional focus, and calls for future research to explore broader applications and the integration of comprehensive strategies to ensure the educational simulator’s effectiveness and relevance in a global context.

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Section: Simulation Platform Features and Industry 40mentioning

confidence: 99%

Exploring educational simulation platform features for addressing complexity in Industry 4.0: a qualitative analysis of insights from logistics experts

Pacheco-Velazquez,

Rodes-Paragarino,

Marquez-Uribe

2024

Front. Educ.

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“…The cascaded model of the reference architecture, in particular, starts the robust and trustworthy integration of IIoT and CPS (Mourtzis et al, 2022a).…”

Section: Cyber Physical Systems For Personalized Value Creation In In...mentioning

confidence: 99%

“…To the best of our knowledge a limited number of publications have been published in the field of software platforms for Metaverse. Indicatively, the five layers of the Extended Reality (XR) software platforms for Metaverse are discussed by Mourtzis et al (2022a). These layers are as follows: 1) Enabling platforms, 2) Content platforms, 3) Human-centered platforms, 4) Utility platforms, and 5) Platforms for Applications.…”

Section: Cyber Physical Systems For Personalized Value Creation In In...mentioning

confidence: 99%

Digital twin inception in the Era of industrial metaverse

Mourtzis

2023

Front. Manuf. Technol.

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Digital Twins, as a technological pillar of Industry 4.0, correspond to the virtual representation and bi-fold a real-time communication of a digital counterpart of a process or a physical object. As the industrial and manufacturing landscape is shifting towards Industry 5.0, huge investments focusing on enhancing interactions between Operators and Cyber-Physical Systems (CPS) occur. Yet, Metaverse strengthens these interactions as it enables human immersion into a virtual world. Furthermore, it examines the very promising relationships between the CPS, through the digital twins of these CPS. Therefore, this short review presents the concept of the Digital Twin inception in Industrial Metaverse. Additionally, a service-oriented digital twin architecture with Metaverse-enabled platforms for added value creation and interactions with CPS towards achieving Industry 5.0 challenges and beyond is proposed.

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“…Industry 4.0 (I4.0) refers to the ongoing shift in manufacturing towards digital transformation [1,2], leveraging technologies such as the Internet of Things (IoT), additive manufacturing (AM), cognitive computing, identification, analytics, and more [3]. Key features of I4.0 include enabling seamless communication between machines and people, providing information from all system points, supporting technical assistance to humans, and facilitating decentralized decision-making.…”

Section: Introductionmentioning

confidence: 99%

A production interface to enable legacy factories for industry 4.0

Kwok,

Gaasenbeek

2023

Eng. Res. Express

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Due to the recent pandemic, our factory operations have experienced significant setbacks, prompting the need for factory automation to maintain productivity. However, most of our factories rely heavily on human input and oversight and cannot operate remotely. Automating our factories has revealed technological gaps that fall short of our expectations, needs, and vision. Therefore, the purpose of this paper is to bridge this gap by introducing practical methodologies and applied technology that can enhance legacy factories and their equipment. Our proposed solution is the ORiON Production Interface (OPI) unit, which can function as a smart networked edge device for virtually any machine, allowing the factory to operate efficiently. We have incorporated various computer vision algorithms into the OPI unit, enabling it to autonomously detect errors, make decentralized decisions, and control quality. Despite the concept of Industry 4.0 (I4.0) being known, many machines in use today are closed source and unable to communicate or join a network. Our research offers a viable solution to implement Industry 4.0 in existing factories, and experimental results have demonstrated various applications such as process monitoring, part positioning, and broken tool detection. Our intelligent networked system is novel and enables factories to be more innovative and responsive, ultimately leading to enhanced productivity. All manufacturing companies interested in adopting Industry 4.0 technology can benefit from it, and the OPI, being an IoT device, is also an appealing option for developers and hobbyists alike.

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Digital Manufacturing

Cited by 16 publications

References 80 publications

Exploring educational simulation platform features for addressing complexity in Industry 4.0: a qualitative analysis of insights from logistics experts

Exploring educational simulation platform features for addressing complexity in Industry 4.0: a qualitative analysis of insights from logistics experts

Digital twin inception in the Era of industrial metaverse

A production interface to enable legacy factories for industry 4.0

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