

What is IIoT or Industrial Internet of Things?

Manufacturing IoT
in the age of Thailand 4.0

What can we achieve by implementing manufacturing IoT?

What to know first before implementing manufacturing IoT

Example achievement of implementation/support by CSI

Seminar about IoT implementation for manufacturing industry

Case Study

While ASEAN comes under the spotlight as an alternative base of global business instead of China, the visualization of summary result or operational status of manufacturing equipment and IoT transformation in traceability, fool-proofing become imperative. Moreover, one of the goal to achieve “Thailand 4.0” which is raised as a 20-year long-term vision in Thailand is to improve productivity by digital technology.
In Japan, there is increasing movement to proceed with IoT implementation in order to get “IATF 16949 (International standards for quality management system focused on the automotive industry)” and enhance the competitiveness, it is said that such tendency is also certainly coming along in Thailand and ASEAN.
Is it about time to start thinking manufacturing IoT in Thailand?
What to know first before implementing manufacturing IoT


Actual Result Collection
Traceability (Production trace)
It needs to create the system to track a history of the product like when, where, how the product was manufactured by what material, and to find the cause rapidly and accurately when a product recall occurred due to any quality problem.

Visualize
Understand the situation in real time (Monitoring)
It will not only be a benefit to a manager, but it also enhance the awareness of on-site operators about production plan/result by processing the real-time production status and result into an
easy-to-understand format to display.
Understand Operation Result
It can calculate more accurate manufacturing cost to improve utilization rate and production rate by correctly understanding and analyzing the operation result of device. Moreover, it also can support lean manufacturing plan and special grade item by knowing the operational status of multiple locations.
Pick up alert information from the device, then early detect and solve problem by automatically transferring to next process, communicating to on-site operators/manager in abnormal case.
Early detection, solution and andon for malfunction (alert display)

Smart Factory
Big data analysis and data cleansing
Analyze a low-quality manufacturing line, a low-performance work process based on the collected big data, and lead to quality improvement and overall process improvement. Moreover, in the collected data, it is more likely to be mixed between error and duplicated data. Therefore, it is necessary to revise such unwanted data to be more accurate information by “data cleansing (data maintenance)”.
Manufacturing AI (Work automation/Automatic control) Utilize AI (Artificial Intelligence) from the process of “Collect information from the device” to “Provide the device with information”. We are doing the comprehensive optimization from both factory and management aspect as a leading factory which achieved “Industry 4.0”.
What to know first before implementing manufacturing IoT

Companies Appearing in Manufacturing IoT Implementation and Roles
Key Elements of a Manufacturing IoT Implementation





