Real-time Collaboration Research Articles

Project Monitoring Based on View of All Project Partners At Digital Project Management Platforms

In the dynamic landscape of digital project management, effective project monitoring is critical for successful project outcomes. The emergence of digital project management platforms has revolutionized the way projects are monitored, enabling real-time collaboration and data-driven decision-making. Periodic site visits and gathering input from all project stakeholders are crucial for ensuring clear understanding of project progress by states institutional. With digital project management systems, on-site progress should be monitored in real-time and inclusive of all project stakeholders. The research investigates how collaborative monitoring fosters project progress of transparency and active engagement among project partners. By providing real-time visibility into project progress, tasks, and milestones, these platforms empower stakeholders with up-to-date information, enabling agile decision-making and prompt risk mitigation. This study explores how digital project management platforms integrate site monitoring evaluations and reporting tools, providing valuable data-driven insights into project performance. By considering periodic analytics, project partners can improve resource allocation, decision making process against possible bottlenecks at construction stages and boost productivity and inform states institutional to monitor project progress closely. Furthermore, the research examines the influence of these platforms on communication dynamics, promoting communication and efficient information exchange among project partners. Such enhanced communication capabilities result in improved team cohesion and collaboration, driving the project forward with synchronized efforts. In this study, the focus lies on tracking the progress of contractual agreements through digital platforms, enabling all stakeholders to monitor advancements. Specifically, the investigation centers on how the designated contractor responsible for project execution and the consulting firm appointed by the project owner can effectively track project progress on a periodic basis using digital platforms. In the context of transportation projects in Turkey, a digital project tracking system has been developed for the Ministry of Transport and Infrastructure, through which data obtained from on-site visits and consultant opinions regarding project advancements are shared with the Ministry. Subsequently, the responsible contracting authority, guided by the consultant's feedback, can respond and evaluate progress accordingly. This approach ensures that project advancements are accurately monitored by all stakeholders of the project. To do so, this study investigates the utilization of the prepared digital platform to facilitate rapid and precise contract monitoring by all project stakeholders, encompassing the opening information and assessment evaluations based on stakeholders' perspectives.

ДОСЛІДЖЕННЯ ТА АНАЛІЗ МЕТОДІВ ВІЗУАЛІЗАЦІЇ ОСВІТНІХ ПРОГРАМ ТА НАВЧАЛЬНИХ ПЛАНІВ У ВИЩИХ ОСВІТНІХ ЗАКЛАДАХ

The task of the research is to identify the most promising visualization methods that can help students and teachers to increase their understanding of the structure and content of educational programs, improve the planning of the educational process, as well as facilitate the adaptation of programs to the changing requirements of educational standards and the needs of the labor market. The purpose of the study is to analyze the existing methods of visualization of educational programs at the university to identify their effectiveness, areas of application and contribution to improving the quality of the educational process. The research method is an analysis with sequential identification of the most influential features of the studied methods on the final result of data presentation.Data visualization is indispensable for research, analysis and presentation of data, thanks to benefits such as improved audience understanding, effective communication and facilitation of teamwork, identification of patterns and anomalies in the presented material, stronger decision support, accessibility and iterative analysis of the presented material Since the success of becoming a specialist in any field is related to the orientation of students in existing educational programs for different levels of training. In the course of the research, examples of the use of methods of visualization of educational programs in scientific research were analyzed. Since visualization methods can play a key role at all stages of the life cycle of an educational program, from design and development to its direct use, the researched visualization methods allow structuring educational programs, graphically displaying the development of an educational program over time, visually displaying how educational modules and courses are related with educational standards and goals, provide a variety of reports and analytics, identify gaps and identify areas for improvement, integrate external educational resources and materials, organize real-time collaboration, adapt the interface and data presentation to the specific needs of students, teachers and other stakeholders . The result of the research, based on the conducted analysis, are the proposed recommendations for the selection and integration of visualization methods into the educational programs of higher educational institutions.

Use of Building Information Modeling (BIM) to Improve Construction Management in the USA

The construction industry in the United States faces ongoing challenges related to cost overruns, project delays, and inefficiencies in project management. Building Information Modeling (BIM) has emerged as a transformative technology with the potential to address these issues by enhancing the precision, collaboration, and decision-making processes in construction management. This paper provides a comprehensive review of the application of BIM in the U.S. construction sector, with a focus on its impact on improving construction management practices. The review explores the specific ways in which BIM contributes to project success, including its ability to streamline workflows, reduce errors, and facilitate real-time collaboration among stakeholders. Through an in-depth analysis of current literature, this paper highlights the specialized functions of BIM that are particularly beneficial for construction management in the U.S., such as clash detection, 4D scheduling, and cost estimation. The paper also examines case studies that demonstrate the successful integration of BIM in large-scale projects across the country, showcasing tangible improvements in project outcomes, including reduced project timelines and enhanced cost efficiency. Additionally, the paper delves into the challenges associated with BIM adoption in the U.S., including the need for skilled personnel, the integration of BIM with existing project management systems, and the legal and contractual implications of BIM-based collaboration. These challenges are discussed alongside strategies for overcoming them, emphasizing the importance of training, standardization, and cross-disciplinary collaboration. The findings of this review suggest that the widespread adoption of BIM in the U.S. construction industry holds significant promise for enhancing project management efficiency, improving stakeholder communication, and ultimately contributing to more successful project outcomes. The paper concludes by proposing best practices for BIM implementation in construction management, aiming to guide industry professionals in leveraging this technology to its fullest potential.

Real-Time Document Collaboration—System Architecture and Design

This article explores the world of dependable systems, specifically focusing on system design, software solutions, and architectural decisions that facilitate collaborative work on shared text documents across multiple users in near real time. It aims to dive into the intricacies of designing robust and effective document collaboration software focusing on understanding the requirements of such a system, the working principle of collaborative text editing, software architecture, technology stack selection, and tooling that can sustain such a system. To examine the pros and cons of the proposed system, the paper will detail how collaborative text editing software can benefit from such an architecture regarding availability, elasticity, and scaling. The intricate nature of this system renders this paper a valuable resource for prospective investigations within the domain of dependable systems and distributed systems. This research first examines the requirements of a real-time collaboration system and the necessary core features. Then, it analyzes the design, the application structure, and the system organization while also considering key architectural requirements as the necessity of scaling, the usage of microservices, cross-service communications, and client–server communication. For the technology stack of the implementation, this research considers the alternatives at each layer, from client to server. Once these decisions are made, it follows system development while examining possible improvements for the issues previously encountered. To validate the architecture, a testing strategy is developed, to examine the key capabilities of the system, such as resource consumption and throughput. The conclusions review the combination of modern and conventional application development principles needed to address the challenges of conflict-free document replication, decoupled and stateless event-driven architecture, idempotency, and data consistency. This paper not only showcases the design and implementation process but also sets a foundation for future research and innovation in dependable systems, collaborative technologies, sustainable solutions, and distributed system architecture.

Fault diagnosis method for oil-immersed transformers integrated digital twin model

To address the problems of low accuracy in fault diagnosis of oil-immersed transformers, poor state perception ability and real-time collaboration during diagnosis feedback, a fault diagnosis method for transformers based on the integration of digital twins is proposed. Firstly, fault sample balance is achieved through Iterative Nearest Neighbor Oversampling (INNOS), Secondly, nine-dimensional ratio features are extracted, and the correlation between dissolved gases in oil and fault types is established. Then, sparse principal component analysis (SPCA) is used for feature fusion and dimensionality reduction. Finally, the Aquila Optimizer (AO) is introduced to optimize the parameters of the Kernel Extreme Learning Machine (KELM), establishing the optimal AO-KELM diagnosis model. The final fault diagnosis accuracy reaches 98.1013%. Combining transformer digital twin models, real-time interaction mapping between physical entities and virtual space is achieved, enabling online diagnosis of transformer faults. Experimental results show that the method proposed in this paper has high diagnostic accuracy and strong stability, providing reference for the intelligent operation and maintenance of transformers.

Evaluating the role of cloud integration in mobile and desktop operating systems

The integration of cloud computing has fundamentally transformed the landscape of mobile and desktop operating systems, enabling new levels of functionality, efficiency, and user experience. This review examines the role of cloud integration in these operating systems and its implications for both users and developers. Cloud integration enhances mobile and desktop operating systems by offering scalable storage solutions, seamless data synchronization, and enhanced computing power. For mobile systems, cloud services provide users with the ability to access their data and applications from any device, promoting a consistent user experience across different platforms. This synchronization feature not only streamlines personal data management but also enables developers to create more dynamic and responsive applications that leverage cloud resources for realtime updates and performance improvements. In desktop environments, cloud integration facilitates the storage of large volumes of data and the execution of resourceintensive applications without burdening local hardware. Cloudbased virtual machines and application delivery platforms offer users the flexibility to run highperformance software on less powerful devices, thus broadening the accessibility and usability of advanced desktop applications. Furthermore, cloud integration supports collaborative tools and shared workspaces, enhancing productivity and fostering realtime collaboration among users. The evaluation of cloud integration also involves assessing its impact on security, data privacy, and system performance. Cloudbased solutions introduce new security considerations, such as the need for robust encryption and secure authentication protocols to protect sensitive data. Additionally, the reliance on internet connectivity for accessing cloud services can pose challenges for users in areas with limited or unreliable network access. In conclusion, cloud integration plays a crucial role in modernizing both mobile and desktop operating systems, driving improvements in data accessibility, application performance, and user experience. As cloud technologies continue to evolve, their influence on operating systems will likely expand, offering new opportunities for innovation and addressing emerging challenges in security and connectivity. This ongoing integration represents a significant shift towards more flexible, efficient, and interconnected computing environments.

Innovative methods for integrating translation memory and CAT tools: Enhancing intelligent support in human translation processes

This paper explores the innovative integration of Translation Memory (TM) and Computer-Assisted Translation (CAT) tools to enhance translation efficiency, consistency, and quality in multinational organizations. By adopting a user-centric interface design, modular system architecture, and cloud-based deployment, the integrated system addresses diverse translation needs while ensuring data security and privacy. Key features include real-time translation suggestions powered by machine learning algorithms, seamless access to TM databases, and real-time collaboration tools. The paper discusses implementation strategies, challenges, and solutions, highlighting the importance of user training and continuous improvement. A case study demonstrates significant improvements in translation speed, accuracy, and user satisfaction, underscoring the potential of advanced translation technologies to transform translation workflows. The findings provide valuable insights into best practices for successful implementation and optimization of TM and CAT tools in complex, large-scale environments.

Comparative Analysis of Google Sheets and Microsoft Excel

An emerging landscaping and lawn care service company (GreenLawn) is seeking to transition from manual record-keeping to digital solutions. With significant growth over two years, GreenLawn requires efficient software to manage operations and finances while avoiding complexity and extensive training costs. The company evaluates Microsoft Excel and Google Sheets, weighing features, collaboration capabilities, ease of use, and pricing. GreenLawn's specific needs include service scheduling, workforce management, client information storage, inventory tracking, marketing, expense tracking, and financial modeling. The comparison highlights Excel's advanced features and integration with Microsoft Office versus Google Sheets' real-time collaboration and cost-effective accessibility. Questions address software selection, task management, collaboration strategies, cost-effectiveness, integration with industry tools, scalability, training, and adoption. Ultimately, GreenLawn's decision hinges on aligning software capabilities with its unique requirements and growth objectives.

Cloud Data Protection Based On Crypto-Steganography Approach

Cloud computing offers various benefits that make it a great choice for both the businesses and individuals due to its advantages. Cloud computing provide ability for quickly scale up and down resources according to demand and reduces the need for companies to maintain and invest in the physical infrastructure. They can pay for the and resources or the services they use on a pay-as-you-go base. Moreover Cloud computing allows users to access several applications or data from anyplace with internet connection, using a variety of devices and facilitates real-time collaboration and file sharing among teams, regardless of their physical location. Despite all the great advantages of cloud computing, security concerns related to information privacy and private data security are among the most prominent obstacles that restrict the use of cloud computing on a larger scale. The use of various encryption algorithms or steganography techniques can contribute effectively to raising the level of security in the cloud data. Steganography consider as a practice for hiding information and data inside other non-secret data, like audio, images and text to embed of any hidden messages. The proposed approach provide Crypto-Steganography approach for protect sensitive cloud data by encrypt these data before hiding them in a selected channel for a color image as an embedding medium to provide an additional layer for security, and thus, will give an excellent values for distortion metrics (wPSNR, UIQI and C4) as it explained in experimental results.

Strategic approaches for successful digital transformation in project management across industries

Digital transformation has become imperative for organizations across industries seeking to enhance operational efficiency, innovate customer experiences, and maintain competitive advantage in a rapidly evolving digital landscape. This paper explores strategic approaches that enable successful digital transformation in project management, addressing key challenges and leveraging opportunities for growth and sustainability. In the current business environment, digital transformation in project management encompasses the adoption of advanced technologies, integration of digital tools, and reengineering of processes to optimize project delivery and outcomes. Organizations are increasingly leveraging cloud computing, artificial intelligence, big data analytics, and Internet of Things (IoT) to streamline project workflows, enhance decision-making capabilities, and facilitate real-time collaboration among stakeholders. Successful digital transformation initiatives in project management are underpinned by strategic planning and leadership commitment. Alignment of digital transformation goals with organizational objectives ensures clarity of purpose and enhances stakeholder engagement throughout the transformation journey. Moreover, fostering a culture of innovation and continuous learning enables teams to adapt to technological advancements and embrace change effectively. Challenges in achieving successful digital transformation include legacy system integration, data security concerns, skill gaps among team members, and resistance to cultural change. Addressing these challenges requires proactive risk management, investment in training and development programs, and collaboration with technology partners to navigate complexities and ensure seamless implementation. Case studies illustrate diverse approaches to digital transformation in project management, highlighting best practices and lessons learned across various industries. Organizations that successfully navigate digital transformation not only achieve operational efficiencies and cost savings but also create value through enhanced customer experiences and improved competitive positioning. Looking forward, the strategic adoption of emerging technologies and agile methodologies will continue to shape the future of digital transformation in project management. Organizations must remain adaptable and responsive to market dynamics, leveraging digital tools to drive innovation, accelerate time-to-market, and sustain long-term growth in an increasingly digital-first world. In conclusion, strategic approaches to digital transformation in project management empower organizations to harness the full potential of digital technologies, driving efficiencies, fostering innovation, and achieving sustainable success across industries.

Investigating teacher orchestration load in scripted CSCL: A multimodal data analysis perspective

AbstractDespite the growing interest in using multimodal data to analyse students' actions in Computers‐Supported Collaborative Learning (CSCL) settings, studying teacher's orchestration load in such settings remains overlooked. The notion of classroom orchestration, and orchestration load, offer a lens to study the implications of increasingly complex technology‐supported learning environments on teacher performance. A combination of multimodal data may aid in understanding teachers' orchestration actions and, as a result, gain insights regarding the orchestration load teachers perceive in scripted CSCL situations. Studying teacher orchestration load in CSCL helps understand the workload teachers experience while facilitating student collaboration and assists in informing design decisions for teacher supporting tools. In this paper, we collect and analyse data from different modalities (i.e. electrodermal activity, observation notes, log data, dashboard screen recordings and responses to self‐reported questionnaires) to study teachers' orchestration load in scripted CSCL. A tool called PyramidApp was used to deploy CSCL activities and a teacher‐facing dashboard was used to facilitate teachers in managing collaboration in real time. The findings of the study show the potential of multimodal data analysis in investigating and estimating the orchestration load experienced by teachers in scripted CSCL activities. Study findings further demonstrate factors emerging from multimodal data such as task type, activity duration, and number of students influenced teachers' orchestration load.

A Collaborative Code Platform with Advanced AI Features and Real-Time Collaboration Tools

Abstract: Good collaboration and code management are crucial in today's software development environment. Our research has launched a new collaborative process that combines AI resources, including AI and global research, to improve products and enhance and facilitate collaboration. The platform features real-time collaboration tools such as dynamic text with multilanguage support, dialog functionality, and notepad functionality. With OAuth authentication, users can seamlessly perform CRUD operations on files and directories, share code repositories, and participate in live coding sessions. The platform supports compilation and execution of a code file and follows good design principles such as caching, microservices architecture, and containerization to ensure scalability and performance. The platform focuses on user experience by providing simple user interface design and easy interface navigation. Users can create workspaces, share them collaboratively, and seamlessly import repositories from Git. The platform's intelligent data manager helps manage files and directories, while the collaborative platform allows developers to collaborate on code libraries efficiently. The platform is modern web-based, using React on the frontend and Node.js on the backend; Supported with syntax highlighting and smart initialization along with Socket.io for runtime with SQL and NoSQL databases. Provides comprehensive language support. All progress is saved, providing users with peace of mind. While the basic design is for desktops, future iterations are expected to support mobile devices.

Digital Lab

This research paper explores the implementation of a "Digital Lab" platform designed to revolutionize traditional lab management in education. The platform facilitates real-time collaboration between faculty and students, irrespective of physical locations, fostering engagement and knowledge sharing. This paper presents the problem of student disengagement, outlines the platform's objectives, and discusses the key features, including scheduling, resource allocation, and equipment management. The paper also addresses the need for real-time monitoring to enhance student accountability and productivity. Keywords: Laboratory management, Student engagement, Real-time collaboration, Remote learning, Real-time monitoring

StudyNotion - An Edtech Website

In an era defined by rapid technological advancement, education stands as a crucial arena ripe for transformation. Our Edtech website emerges as a beacon of innovation, aiming to revolutionize traditional learning paradigms through the seamless integration of cutting-edge technology. With a multifaceted approach, our platform offers a comprehensive suite of tools and resources tailored to meet the diverse needs of students, educators, and institutions alike. At the heart of our platform lies a commitment to accessibility and inclusivity, ensuring that learning opportunities transcend geographical boundaries and socioeconomic barriers. Through interactive modules, engaging content, and personalized learning pathways, we empower learners to cultivate their intellectual curiosity and unlock their full potential. For educators, our platform serves as a dynamic hub for professional development, fostering collaboration, and knowledge sharing within a vibrant community of practice. From virtual classrooms to collaborative project management tools, we provide the scaffolding necessary to facilitate effective teaching in the digital age.Furthermore, our platform harnesses the power of data analytics and artificial intelligence to deliver actionable insights and personalized recommendations, facilitating data-driven decision-making and enhancing learning outcomes. In essence, our Edtech website represents more than just a digital learning platform; it embodies a vision for the future of education—one where technology serves as a catalyst for empowerment, innovation, and lifelong learning. Join us on this transformative journey as we redefine the possibilities of education in the 21st century and beyond. This abstract succinctly captures the essence of the Edtech website, highlighting its goals, features, and the transformative potential it holds for education.The abstract for the Edtech Website project encapsulates the endeavor to create an innovative educational platform tailored for diverse learners. This project aims to develop a user-friendly website offering interactive learning resources, personalized study tools, and collaborative features. Key objectives include providing seamless navigation, curating diverse educational content, implementing adaptive learning algorithms, and fostering real-time collaboration among students and educators. Emphasizing scalability, compatibility, and security, the website seeks to empower learners globally with accessible, engaging, and personalized learning experiences, ultimately fostering academic excellence and lifelong learning opportunities.

Scholar- Study Material Application

Scholar- Study Material Application

Implications of Construction 4.0 technologies to enhancing well-being: a fuzzy TOPSIS evaluation

Purpose Amid rapid technological progress, the construction industry is embracing Construction 4.0, redefining work practices through emerging technologies. However, the implications of Construction 4.0 technologies to enhancing well-being are still poorly understood. Particularly, the challenge lies in selecting technologies that critically contribute to well-being enhancement. Therefore, this study aims to evaluate the implications of Construction 4.0 technologies to enhancing well-being. Design/methodology/approach A list of Construction 4.0 technologies was identified from a national strategic plan on Construction 4.0, using Malaysia as a case study. Fourteen construction industry experts were selected to evaluate the implications of Construction 4.0 technologies on well-being using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The expert judgment was measured using linguistic variables that were transformed into fuzzy values. Then, the collected data was analyzed using the following analyses: fuzzy TOPSIS, Pareto, normalization, sensitivity, ranking performance and correlation. Findings Six Construction 4.0 technologies are critical to enhancing well-being: cloud & real-time collaboration, big data & predictive analytics, Internet of Things, building information modeling, autonomous construction and augmented reality & virtualization. In addition, artificial intelligence and advanced building materials are recommended to be implemented simultaneously as a very strong correlation exists between them. Originality/value The novelty of this study lies in a comprehensive understanding of the implications of Construction 4.0 technologies to enhancing well-being. The findings can assist researchers, industry practitioners and policymakers in making well-informed decisions to select Construction 4.0 technologies when targeting the enhancement of the overall well-being of the local construction industry.

Integration of an online application to optimise multi-disciplinary meetings: a retrospective analysis.

Multi-disciplinary Meetings (MDM) play a crucial role in complex patient care, involving input from various specialties to formulate evidence-based management plans. However, traditional unidirectional approaches and reliance on manual processes have led to inefficiencies in the MDM pathway. This study identified and aimed to improve four critical moments where Information Communication Technologies (ICTs) could enhance the MDM process. Initial referral, information synthesis, meeting presentation and the creation of actionable/auditable items. Microsoft Office Forms, a customisable survey platform, was implemented to streamline MDM processes. Forms were created to gather patient information, develop agendas, and track outcomes. Automation through Excel scripting further optimised data organisation and agenda creation. Referrals using Forms takes an average of 7min and 21s. Over 15months the submission time has reduced and is trending towards under 5min for each referral. The system's scalability has allowed 1744 cases to be discussed over a 15-month period. Active departments using Forms is expanding to seven from two prior to the pilot. Microsoft Office Forms proved to be a valuable and adaptable tool for MDMs, offering benefits such as streamlined information gathering, real-time collaboration, and scalability. The study highlights the potential of existing tools within Microsoft licenses for healthcare process optimisation, providing a cost-effective and customisable solution for MDM agendas. While recognising some limitations, the study concludes that leveraging Microsoft Office Forms can significantly improve system efficiency in a multi-disciplinary setting.

CLOUD ACCOUNTING UNVEILED: INVESTIGATING CHALLENGES AND PROSPECTS IN MODERN FINANCIAL MANAGEMENT

Cloud accounting has emerged as a transformative force in modern financial management, offering businesses unprecedented opportunities to streamline processes, drive innovation, and achieve strategic objectives. This paper provides a comprehensive examination of cloud accounting, exploring its key features, benefits, challenges, and prospects in detail. The analysis begins by elucidating the fundamental concepts of cloud accounting, highlighting its accessibility, scalability, and cost efficiency compared to traditional accounting methods. It delves into the challenges faced by businesses in adopting cloud accounting, including security concerns, data privacy issues, integration complexities, and regulatory compliance requirements. Despite these challenges, the prospects for cloud accounting are bright, with numerous opportunities for businesses to leverage its benefits and drive growth. The paper identifies scalability, flexibility, cost efficiency, innovation, collaboration, security, and integration as key prospects in cloud accounting, highlighting their transformative potential in reshaping financial management practices. Furthermore, the paper underscores the importance of real-time collaboration, accessibility, and security in fostering a culture of transparency, accountability, and trust within organizations. It emphasizes the role of cloud accounting in creating interconnected ecosystems of applications and data sources, enabling better decision-making and operational efficiency across the organization.

A comprehensive study to facilitate Student Space platform with collaborative learning

The Student Space Virtual Study Groups Platform is a groundbreaking solution designed to transform collaborative learning for students, addressing challenges in forming and sustaining study groups. This online platform integrates advanced technology to create a user-friendly environment, featuring an intuitive interface, dynamic group formation with smart algorithms, real-time collaboration through video conferencing and document editing, centralized resource sharing, and smart scheduling tools. Student Space aims to overcome the limitations of traditional study groups, offering an inclusive and adaptable virtual space for students to connect, collaborate, and excel academically. Anticipated impacts include improved academic performance and the creation of a vibrant academic community. Ongoing enhancements, such as integration with Learning Management Systems, a mobile app for on-the-go collaboration, and improved AI-driven matching algorithms, are planned for the future.

Optimizing extreme manufacturing framework: a secure and efficient 3D printing integration framework

This study presents a comprehensive framework for extended manufacturing with integrated 3D printing technologies, exemplifying a paradigm shift in the manufacturing landscape. The Digital Thread Integration establishes a dynamic foundation, enabling real-time collaboration and data flow throughout the product lifecycle. Leveraging advanced AI-driven optimization, Digital Design Platforms streamline designs, processing 1,000 iterations per hour, and recommending materials based on component requirements. On-Demand Manufacturing Hubs strategically placed globally achieve substantial reductions in lead times (48 h) and material waste (15%). The Cybersecurity Infrastructure ensures the sanctity of the digital environment, employing secure communication protocols and an Intrusion Detection System (IDS) responding to threats in milliseconds. The Data Analytics Hub contributes to continual improvement by analysing 100 GB of 3D printing data daily, generating 50 actionable insights weekly. User Interface and Accessibility initiatives empower the workforce through intuitive training modules and responsive help desks. In conclusion, this framework exemplifies secure, efficient, and data-driven extended manufacturing, positioning the industry at the forefront of technological advancement.