Learning

Microservices enables the decomposition of complex software systems into modular, autonomous services with distinct functions and APIs. This modular approach enhances flexibility, scalability, and fault tolerance, essential qualities for adapting to Industry 4.0 landscape.

This programme consists of 5 full-day sessions covering theory and practical methodscovering containerisation concepts, practices and tools using real-world manufacturing solutions for in-depth understanding. At the end of the programme, participants will be able to understand and apply 12-factor app design philosophy, containerization of applications, and deploying and orchestration of containerized microservices applications.

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Effective management of maintenance in industries is a major concern to reduce the cost and ensure the reliable operation of high-value equipment/machines. With modern complex complicated equipment and time pressure from production, a data-driven decision-making approach with timely support from relevant data is crucial for generating optimal plans and cost-effective maintenance.

This course aims to provide participants with knowledge, techniques and skills in data collection, analysis for predictive maintenance and optimal maintenance planning. Data from machine sensors, operation management systems and maintenance activities are analyzed during the training sessions.

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By learning and implementing an advanced planning, scheduling and integrating tracking technology, production planners will be able to create realistic operational plans and resource schedules that tell the stakeholders what to do and when to do it in an optimal way.

To start companies on their digitalisation journey and equip them with the knowledge on advanced planning and scheduling (APS), this course aims to equip participants with the essential understanding of Production Planning and Scheduling, by providing practical sessions such as hands-on modelling.

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Maximised the machine overall effectiveness is a goal for resource owners. Currently, their machines are often not fully utilized even with 24x7 operations. They cannot figure out how much is the shortfall, where and how it is happening. With data coming from machines in real-time in an Industry 4.0 environment, it could measure how machines are actually utilized.

This programme aims at providing participants with practical and systematic training in applying real-time OEE to achieve high machine productivity. It is designed specifically to meet local industry needs. The course is highly practical and intensive, and will be taught by expert trainers in the field with industrial experience. It provides up-to-date technology and latest knowledge on OEE.

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In the era of Industry 4.0, brownfield sensorisation and connectivity is a process to obtain data of existing equipment in order to enable smart capabilities in the manufacturing shop floor. Approaches include extracting data from the Programmable Logic Controllers (PLCs) of equipment as well as the installation of sensors to provide relevant data.

During this three and a half-day intensive course, lectures and hands-on practical demonstrations are conducted in an immersive training environment at the Model Factory@SIMTech and A*STAR Industrial Internet-of-Things Innovation (I³).

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Using digitalisation, businesses can transform shopfloor quality operations using manual processes into digitalized workflows. The benefits include improved productivity in data collection, easy traceability of quality data and proper alignment between quality planning and operations. Furthermore, digitalisation makes it easy to gain insights in the trove of quality data.

This is an introductory course on quality management for the manufacturing shopfloor. The course will cover the meaning of quality and concepts such as Six Sigma and Taguchi loss function. We will also explore how digitalisation can enhance quality management and monitoring.

Artificial intelligence is the capability of a computer to imitate, or go beyond, intelligent human behaviour. It is revolutionising manufacturing in many ways by delivering insights to reduce unplanned machine downtime, increase production throughput, reduce maintenance costs, and deliver an increase in quality.

This programme takes a hands-on approach, going beyond the theory and focuses on equipping participants with the necessary skills to add value to their organisation whether that might be a start-up, SME or MNC.