Data Automation & Visualization

Smart Factory takes current manufacturing processes to Industry 4.0 standard: highly agile, efficient and automated production lines capable of data generation and collation.

Combined with analytics and machine learning, the factory of the future will have predictive and prescriptive capabilities, contributing to higher productivity & boundless innovation.

The Malaysian Smart Factory (MSF) 4.0 program @ SHRDC offers smart factory competency training through hands-on and online/remote learning approaches, ideal for relevant skillset and talent development towards an Industry 4.0 ready workforce in Malaysia.

Training Methodology

Participants are exposed to theoretical fundamentals and demonstrations of information technology related to smart factory competencies and processes, followed by hands-on activities to support application of competencies acquired.

Level 1 – Data Generation

The Data Generation program provides a hands-on approach and demonstration towards data generation from manufacturing processes, towards mobile and web-based notification.

Who Should Attend?

For manufacturers with basic knowledge of Industry 4.0 looking into generate data and be informed on the production capacity, capability and competency of their production facilities.

Learning Outcomes:

• Connect sensors and IoT Gateway
• To read data from the sensor module and setup a data visualization dashboard
• To send data to mobile App or Web browser to generate notifications and alerts
• Able to effectively collate data from existing machines that are part of a manufacturing process.

Course Duration: 5 Days

Level 2 & 3 – Machine Data Logging & Visualization

The Machine Data Logging & Visualization for Smart Factory program offers the following:

• Overview of Machine Data Logging and Visualization methods
• Utilize Node-Red to store machine process information and sensor data with time-stamp information into an on-premises and/or cloud-based database (such as SQL
  and/or time-series database)
• Utilize a time-series visualization platform to display real-time and historical data from an on-premises and/or cloud-based database

Who Should Attend?

For manufacturing production teams with good knowledge on Data Generation looking into advanced data storage and visualization to allow remote access of real time & summary data, for analytics and informed business decisions.

Pre-requisite: Successful completion of the SHRDC MSF Data Generation program.

Learning Outcomes:

• Able to apply the knowledge, techniques, and tools to log data generated from a machine for monitoring and visualization
• Able to log machine process and sensor data with time-stamp information into on-premises and/or cloud-based database (such as SQL and/or time-series database) using the flow-based development tool, Node-Red
• Able to display real-time and historical data from an on-premises and/or cloud-based database using a time-series visualization platform

Course Duration: 5 Days

Level 4 – Overall Equipment Effectiveness (OEE)

In this program, participants will acquire an extensive hands-on experience on the development of process flow for formulating and calculating the Overall Equipment Effectiveness (OEE) of an engineering system and/or process.

The program also includes practical integration of software developed on a PLC controlled engineering system and develop a real-time display for monitoring the key parameters related for OEE.

Who Should Attend?

Engineers, Technicians, Technical Managers, Production Managers, Academia with relevant background.

Pre-requisite: Successful completion of the SHRDC MSF Data Generation program.

Learning Outcomes:

• Identify the key system parameters required to monitor and calculate Overall Equipment Effectiveness (OEE).
• Describe the approaches to calculate Availability, Performance, and Quality for OEE.
• Identify the six big losses related to Availability, Performance, and Quality Loss.
• Construct a process flow to monitor and calculate Availability, Performance, and Quality in real-time using a flow-based development tool.
• Construct a process flow to monitor and formulate the calculation of OEE in real-time using a flow-based development tool.
• Integrate the hardware and software-based process flow developed to verify and validate the formulation of OEE developed.

Course Duration: 5 Days