OEE 6 Big losses -The Small Stop

While it is SMALL, it can also be very BIG! 🤪 There we go again …

6 Big OEE losses #4-The Small Stop

Best way to understand small stop is like traveling on a journey towards a destination, along the way, you are estimating to reach the destination say in 1 hour, along the road
you bump into a traffic jam, road blockages, accidents etc. These are the small stops.

OEE six big losses -The small stop

In the production process, minor disruptions often occur due to waiting for materials to run, delay in restarting machines after the disruption, equipment misalignment, or jam-ups. These are the common small stops that we have been focusing on.

Some advance processes have built-in functions that detect the cause of these stops. These systems may rely on Stack light indicator or internal controller like PLCs to detect error codes related to the disruption. Why are these small stops important? As you know when the production is running 24 hours daily, all these seemingly minor stops will accumulate over time then contributing to the big losses. Despite being called “small”, they are indeed a key contributing factor to the 6 big losses.

While some advance machines are capable of detecting and logging stop codes, many legacy machines do not have this capability. As a result, the small stop in production are often neglected, ultimately leading to major inefficiencies in the process.

Local SCADA dashboard on AIOT OEE INSIGHT connect

There are several ways to track small stops in production. One of them involves connecting to the machine controller or sensing events through the tower light whenever the machine experiences a small stop. But, that doesn’t end there, the most effective approach is still to provide a user interface for the operators, allowing them to identify and record what happened by disruption error code. These codes, along with their corresponding time intervals, are then used in reports or analyses to identify frequently occurring issues and drive improvements aimed at minimizing disruptions.

There are several good solution for tracking these stops, one of them is the stack light tracker, which records the status of the indicator lights in a combination and the previous state, current state of accumulated time taken. That doesn’t end there, integrating a good compact sized Axiomtek graphical Operator Terminal with Adisra Smart view HMI software tool is a cost-effective way to collect and visualize all the relevant data.

Finally, when extending this to an Industrial IoT (IIoT) cloud-based solution—such as ADISRA’s InsightView—data can be monitored in real time through a dashboard featuring analytical reports. By leveraging AI analytics, machine learning, or rule-based actions, optimization and efficiency can be taken to the next level.

#aiotmission #aiotoeeinsightconnect #oeeinsight #aiot #aiotanalyticconnect #unplanneddowntime

AIoTmission Sdn Bhd a Tech Startup, established in 2022 as a subsidiary of Axiomtek (M) Sdn Bhd, is a leading provider of technological training and consultancy services specializing in Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) solutions. Our mission is to drive the Fourth Industrial Revolution (IR4.0) and facilitate digital transformation across Southeast Asia, including Malaysia, Singapore, Brunei, Indonesia, the Philippines, Thailand, Vietnam, Myanmar, Cambodia, and Laos.
 
At AIoTmission, we are dedicated to advancing research and development in AI and IIoT technologies, with a focus on industrial applications such as sensors, gateways, wireless communications, machine learning, AI deep learning, and Big Data cloud solutions. Through collaboration with our valued clients and partners, we deliver innovative solutions tailored to industry needs, enhancing technological capabilities and operational efficiency.
 
The primary focus of the discussion from this live session are mainly technological related especially in the AI and Industrial IOT field which touches the applications in the industries. This session is presented by Mr. CC Lee the Founder CEO a technology trainer and public speaker, along with Mr. Tan Kien Leong a Co-founder CTO and  AIoT trainer and solution architect  from AIoTmission.
 
The primary focus of the discussion was on industrial transformation, cover different sectors for the industry, particularly Smart manufacturing and smart city utilizing AI and IoT.
 
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