The " WITSA ICT Excellence Award ", the Oscars of the Information and Communication Technology Industry, Announced its Winners. The Technological Achievements of the Ministry of Economic Affairs, Manufacturing Industry Supply Chain and Human-machine Collaboration Technologies, Receive International Recognition with Dual First Prizes!
Date: 2023/10/06
Caption: The Institute for Information Industry receives the WITSA ICT Excellence Award. The award ceremony took place on the evening of October 5th. The photo shows the representatives of the winning team. From left to right: Chih-Chieh Lin, Chief of the Digital Transformation Research Institute (DTRI) of the Institute for Information Industry, Henry Meng, Acting Director of the Software Technology Institute (STI) of the Institute for Information Industry, and Hung-En Chen, Engineer at III's Software Technology Institute.
Caption: "An Agile Hybrid Simulator of Human Machine Collaboration for Multi-Workers" developed by the Software Technology Institute (STI) of the Institute for Information Industry wins the WITSA first prize. The image shows real-time detection and warning of workplace safety in the production environment.
Triumph in Glory! The Institute for Information Industry (III) clinched the top honors at the prestigious World Information Technology and Services Alliance (WITSA) ICT Excellence Awards. Recognized for its exceptional contributions in the realms of human-machine collaboration and the integration of artificial intelligence (AI) predictions in the Electronic Manufacturing Services (EMS) supply chain, III received the coveted first prize for both technologies. This award, often referred to as the "Oscars of the ICT industry," is a testament to its outstanding achievements in the global information technology landscape. The award ceremony took place on the evening of October 5th in Kuching, Malaysia, where WITSA acknowledged and celebrated the outstanding performance and contributions of information and communication technology (ICT) research and development teams worldwide.
The World Information Technology and Services Alliance (WITSA) annually organizes the Global Information Technology Application Outstanding Contribution Awards, with criteria based on global impact, scalability, innovative features and functionality, and the practical implementation of solutions. With the support of the Department of Industrial Technology (DoIT) , Ministry of Economic Affairs (MOEA), the Digital Transformation Research Institute (DTRI) of the Institute for Information Industry developed the "Resilient Supply Chain Intelligent Predictive Analytics System for Electronic Manufacturing Services (referred to as "Resilient Supply Chain Intelligent Predictive Analytics System, "IPAS"). In response to the "supply chain disruption" issue in the manufacturing industry, this system introduces "predictive capability" into the supply chain. By utilizing predictive technologies such as inventory level forecasting, equipment pre-diagnosis, quality root cause analysis, and order prediction, the system enhances the predictive capabilities of the Electronic Manufacturing Services (EMS) industry. This, in turn, improves inventory turnover rates for businesses and effectively alleviates supply chain "disruption" issues. Through AI predictive capabilities, businesses could proactively respond to unforeseen circumstances by advanced deployment, strengthening supply chain resilience. This is also the critical reason why the system stood out and received the first prize in the Outstanding AI Award.
Another achievement comes from the Software Technology Institute (STI) of the Institute for Information Industry (III), as they developed "An Agile Hybrid Simulator of Human Machine Collaboration for Multi-Workers" characterized by high security, extensive applications, efficiency, and cost-effectiveness. This system introduces a groundbreaking collaboration model for human-machine interaction, earning it the top honors of the Outstanding Digital Opportunity/Inclusion Award. These two technologies stood out among over a thousand global entries, clinching both first prizes—an accomplishment that is truly commendable.
The Digital Transformation Research Institute (DTRI) of the Institute for Information Industry (III) Develops the “Resilient Supply Chain Intelligent Predictive Analytics System (IPAS)” to Help Enterprises Enhance Response Capability."
In view of the global impact of the pandemic, international conflicts, and intense competition in cross-border trade, Taiwan's manufacturing industry is confronted with the multiple challenges of inventory shortages, supply chain disruptions, and excess inventory. Recognizing Taiwan's crucial role in the global EMS (Electronic Manufacturing Services) supply chain, the Department of Industrial Technology (DoIT) of the Ministry of Economic Affairs (MOEA) places great emphasis on enhancing the supply chain resilience of the industry. To address these challenges, the Department of Industrial Technology (DoIT) , Ministry of Economic Affairs (MOEA) has allocated resources through specialized programs to assist the Digital Transformation Research Institute (DTRI) of the Institute for Information Industry in developing six key AI modules. These modules include raw material inventory level prediction, marginal inspection equipment pre-diagnosis, quality root cause analysis, interpretable order forecasting, intelligent predictive adaptive AI toolbox, and resilient time-series data synchronization technology. Together, these components contribute to the establishment of the "Resilient Supply Chain Intelligent Predictive Analytics System.", which not only mitigates supply chain "breakage" issues but also ensures real-time and accurate maintenance of quality, inventory, and sales decision-making.
When businesses engage in planned production of products, the "Resilient Supply Chain Intelligent Predictive Analytics System" can perform future order forecasting. For instance, it automatically acquires AI-predicted data on a weekly basis and utilizes the Intelligent Predictive Adaptive AI toolbox to forecast future demand. Through visualization and model inventory analysis interpretation, the predictive results are translated into production line scheduling and key material preparation requirements. With the information, production management units are able to quickly make production scheduling decisions, which is estimated to increase inventory turnover by 20% and provides positive contributions to enhancing inventory management within the enterprise. In the future, the system is expected to evolve into a tool-based service, expanding the scope of AI applications and extending into other manufacturing application domains.
"An Agile Hybrid Simulator of Human Machine Collaboration for Multi-Workers" "Developed by Software Technology Institute (STI), Institute for Information Industry (III) Makes Five Star Smart Manufacturing Field Possible.
The Ministry of Economic Affairs initiated the development of human-machine networking in 2018, focusing on digital twin technology research with a core emphasis on craftsmanship. The research delves into solutions for overcoming obstacles in the application of robots. In view of the deep integration of automation across various facets of industrial manufacturing, the team of the project expects to achieve higher efficiency in both productivity and value through human-machine collaboration. For this reason, with support from Department of Industrial Technology (DoIT) , Ministry of Economic Affairs (MOEA), Software Technology Institute (STI) of the Institute for Information Industry (III) developed "An Agile Hybrid Simulator of Human Machine Collaboration for Multi-Workers". The system incorporates key technology for real-time analysis of the physiological status of operators, enhancing the robot's ability to adapt appropriately to changes in the environment or situation. For example, the system can detect the physiological conditions of operators in the work field, allowing for the assessment of on-site personnel fatigue levels. During the design phase of human-machine production lines, the system enables robots to adapt and compensate for any decline in human productivity, resulting in an efficiency improvement of over 10% in equipment assembly. This not only significantly enhances safety but also maintains operational efficiency, offering advantages such as cost-effectiveness, easy deployment, and rapid application in production environments.
Winning the Outstanding Digital Opportunity/Inclusion Award is a recognition of the precise integration of human and robotic capabilities and strengths
in "An Agile Hybrid Simulator of Human Machine Collaboration for Multi-Workers" and its outstanding contributions to smart manufacturing applications. It is noteworthy that the system has versatile applications, not limited to smart manufacturing, but also extends to diverse industries such as finance, healthcare, and services. It can be utilized for establishing and analyzing occupational safety data, leveraging talent advantages, addressing manpower shortages, optimizing operational SOPs, shortening product development cycles, and enhancing service quality. As technology continues to advance, the system is poised to expand its functionalities and capabilities in the future, enabling more complex task collaboration, more sophisticated sensing and decision-making abilities.
Cheng-Hung Cho, the President of the Institute for Information Industry (III), expressed that it is a great honor in receiving the WITSA ICT Excellence Award for two technologies. This recognition underscores the institute's achievements in information and communication technology solutions and practical applications. III's next step involves implementing these technologies in industries facing supply chain instability, such as automotive component, metal processing, and machine tool industries. The goal is to strengthen the resilience of the supply chains and to improve management for these industries. Looking ahead, the Institute for Information Industry plans to continue leveraging its technological expertise as a third-party entity, providing efficient, secure, and intelligent work models and bringing limitless possibilities and vitality into human-machine collaboration.
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