editor, Author at AIoT Smart Factory. Bring Quality & Productivity to excellence

OEEcopilot in Intelligent Manufacturing KL 2026

May 16, 2026May 16, 2026 by editor Comment Closed

Showcasing the Future of Manufacturing Performance at IMKL 2026 with OEE COPILOT We were excited to take part in Intelligent Manufacturing Kuala Lumpur 2026, held from 13–15 May 2026 at the Kuala Lumpur Convention Centre, where manufacturers, technology providers, industry leaders, and digital transformation professionals gathered to explore the next wave of smart manufacturing solutions. IMKL is positioned as a regional conference-led event focused on digital transformation, smart factory solutions, predictive maintenance, and intelligent manufacturing technologies. This year, our team showcased the latest update to our OEE Insight Solution — OEE COPILOT, designed to help manufacturers move beyond basic performance monitoring and toward faster, smarter, and more actionable decision-making on the shop floor. Bringing Practical Intelligence to OEE ImprovementIn today’s competitive manufacturing environment, improving productivity is not only about collecting data. It is about understanding what the data means and knowing what action to take next.That is where OEE COPILOT comes in.Built as an intelligent layer within our OEE Insight Solution, OEE COPILOT helps production...

AIoTMission Awarded MD Status by MDEC, Strengthening Commitment to Smart Manufacturing Transformation

April 19, 2026April 19, 2026 by editor Comment Closed

AIoTmission is now MD Status AIoTMission Sdn Bhd is proud to announce that we have been awarded Malaysia Digital (MD) Status by the Malaysia Digital Economy Corporation (MDEC), a recognition that underscores our role in advancing digital transformation within Malaysia and the broader Southeast Asian region.This milestone marks an important step in our journey as a technology-driven organization focused on enabling Industry 4.0 adoption, particularly within the manufacturing sector.Driving Smart Manufacturing Through Practical InnovationAt AIoTMission, we believe that digital transformation must be practical, scalable, and results-driven. Many manufacturers today face challenges such as limited visibility of shopfloor operations, reliance on manual data collection, and difficulty identifying the root causes of inefficiencies.Our focus is to address these challenges through smart manufacturing solutions that bridge operational technology (OT) and information technology (IT). Key areas of our work include:Real-time shopfloor data acquisition and production monitoringOEE (Overall Equipment Effectiveness) tracking to uncover hidden productivity lossesIIoT and SCADA integration for seamless data flow across systemsCloud-based dashboards...

OEE is Useless?

November 30, 2025December 23, 2025 by editor Comment Closed

Is having OEE useless? Overall Equipment Effectiveness (OEE) has long been a standard metric in manufacturing to evaluate how well a process is running—based on Availability, Performance, and Quality. A high OEE typically signals an efficient operation. But here's the catch:OEE is a rearview mirror 😊 great for knowing what happened, but useless unless you can act on it.Today, with Industry 4.0 taking root and SMEs pushing for smart manufacturing transformation, collecting OEE data is no longer the challenge. The real value lies in what you do with that data.So how do you turn OEE into a forward-looking, action-driven tool?3 Steps to Make OEE Truly Useful:Get Insightful Data. Don’t just chase the OEE number. Break it down. Understand the underlying variables and their impact.Track the 6 Big Losses - Identify leakages in productivity. (If you missed our earlier post on this, you can find in my last posting!)Act with Purpose - Use data-driven insights to implement continuous improvement plans -targeted, trackable,...

IoT is dead?

November 22, 2025December 23, 2025 by editor Comment Closed

These days, it feels like everyone is talking about AI. Whether you're at a conference, a cafe, or scrolling social media AI is everywhere. So, it’s no surprise that some people are asking:“Has AI taken over everything? Is IoT still relevant? Is IoT dead?”As someone deeply involved in tech, I can confidently say:IoT (Internet of Things) is not dead — it's more important than ever.You may wonder why?.. Before we had AI in the spotlight, industries were already using machines to talk to each other. That’s called M2M (Machine-to-Machine). Later, it evolved into IoT, where smart devices collect and share data over the internet.Now with AI booming, that data becomes even more valuable. AI needs data to learn and make decisions and most of that data comes from IoT devices.I recently shared this at a Bernama interview on behalf of the (MYIOTA) Malaysia IoT Association:“AI is hungry for data. IoT is the one feeding it. Without IoT, AI can’t function.” .....

AIoT OEE Insight Connect in action

October 26, 2025December 23, 2025 by editor Comment Closed

Real-Time OEE Insights Elevate Your Manufacturing with OEE Analytics Transform your production with AIoT's advanced Overall Equipment Effectiveness analytics. Gain valuable insights to boost productivity, minimize downtime, and achieve operational excellence. 50% Real-Time Monitoring: Stay updated with live data from your equipment to make quick, informed decisions. 50% Data-Driven Insights: Leverage analytics to identify trends and improve your manufacturing processes. Machine Data collection Machine Data collection The machine data collection process requires a detailed study of the relevant data from the PLC or from the tapped signal machines. Sometimes, the data collection can be a big challenge when we encounter an older machine. With our dedicated team members in this field so far, all related data can be obtained. Hosting the data Data Hosting at the OEE insight Server The machine data collection process requires a detailed study of the relevant data from the PLC or from the tapped signal machines. Sometimes, the data collection can be a big challenge when we encounter an older machine. With our dedicated...

Non intrusive Data Extraction Edge AI production efficiency Tracking

July 13, 2025July 22, 2025 by editor Comment Closed

Innovation in non instrusive data extraction Shop floor data acquisition challeges One of the biggest challenges in capturing data from the production floor is acquiring the necessary information from machines that are actively running. The most effective approach is to use high-level communication via standard protocols such as Modbus or other PLC communication protocols. However, in many cases, the required data is either unavailable or originally retained by the machine's vendor.Moreover, some machines cannot afford to be shut down due to high production demand.Look to the right for a solution ➝ Learn More QuThe solution :- Non Intrusive Edge AI Data Extraction See How Today’s industrial challenges require agile solutions. Our cutting-edge data extraction technology lets you monitor progress seamlessly, ensuring enhanced productivity without disruption. “WTF EYE” – What The Fish Eye is a computer vision AI solution developed by the AIoTmission AI Team to address a common challenge on the production floor: machines that cannot be stopped and where traditional data interfacing methods are...

AIoT – Operational Technology

June 27, 2025June 27, 2025 by editor Comment Closed

Revisiting OT ( The operational Technology ) While talking to people is always enjoyable, making machines that can communicate with each other is even more fascinating!The shop floor used to be synonymous with earning extra through "OT" 😉 —overtime. But these days, "OT" has taken on a whole new dimension: Operational Technology. Our focus has shifted from extra hours to extra intelligence—connecting machines, sensors, and systems in smarter ways.When building efficient and reliable IIoT edge devices under resource constraints, the choice of operating system plays a vital role. And extracting data from Japanese PLCs brings its own set of challenges, thanks to their tightly guarded, proprietary communication methods.Revisiting OT—this time as the foundation for AI—marks the beginning of an exciting new chapter in our industrial transformation journey. The foundation of any AI initiative in manufacturing begins with effective shop floor data collection. One common challenge is integrating data from existing equipment, particularly when it involves legacy systems or machines automated with proprietary...

The power of OEE Distiller in handling 6 losses

May 25, 2025May 25, 2025 by editor Comment Closed

“You Don’t Need More Machines—You Need to Measure Losses Better”When customer orders keep piling in and production can’t keep up, the first instinct is often:“We need another machine and it cost 100K " But do you really need that?Let’s look at this scenario:You have 10 machines, each producing 100 units/day. You’re running at 60% OEE.New demand = 1,100 units/day (but you're only producing 1,000)So you’re 100 units short—and considering spending $100,000 on a new line👉 But what if the capacity you need is already there—hidden inside inefficiencies? By understanding and addressing the 6 Big Losses of OEE—(like minor stops, reduced speed, and quality issues)—you improve your OEE from 60% to 70%.That 10% increase now means each machine produces 110 units/day.End Result:10 machines × 110 units = 1,100 units/dayNo new machine needed$100K investment savedAnd long-term gains through sustained efficiencyThe Takeaway ( by distilling your efficiency with the tracking of 6 key losses) :Tracking the 6 Key OEE Losses isn’t just about monitoring...

The power of OEE 6 key losses

May 4, 2025May 25, 2025 by editor Comment Closed

You Don’t Need More Machines—You Need to Measure Losses Better Why Tracking the 6 Key OEE Losses Is More Critical Than You ThinkWhen customer orders keep piling in and production can’t keep up, the first instinct is often:“We need another machine.”But do you really?Let’s look at this scenario:You have 10 machines, each producing 100 units/dayYou’re running at 60% OEENew demand = 1,100 units/day (but you're only producing 1,000)So you’re 100 units short—and considering spending $100,000 on a new line👉 But what if the capacity you need is already there—hidden inside inefficiencies?By understanding and addressing the 6 Big Losses of OEE—(like minor stops, reduced speed, and quality issues)—you improve your OEE from 60% to 70%.That 10% increase now means each machine produces 110 units/day. Result: 10 machines × 110 units = 1,100 units/day No new machine needed $100K investment saved And long-term gains through sustained efficiency The Takeaway:Tracking the 6 Key OEE Losses isn’t just about monitoring performance—it’s about unlocking trapped capacity, avoiding unnecessary investments, and turning existing...

OEE Six Big losses #6 The Start up Defects

April 27, 2025July 3, 2025 by editor Comment Closed

6 key losses -The start up Defects Understanding Start-Up Rejects in OEE: A Hidden Quality DrainWithin the framework of Overall Equipment Effectiveness (OEE), Quality stands as one of the three core pillars, alongside Availability and Performance. While many manufacturers focus on production-time defects, a less-discussed yet equally critical source of quality loss is the Start-up Reject—a type of defect that occurs immediately after a machine or line begins operation. What Are Start-Up Rejects?Start-up rejects are defective units produced during the initial phase of machine operation—either at the beginning of a shift, after a changeover, or following maintenance or equipment downtime. These are not incidental flaws; they are often symptomatic of deeper inefficiencies in the warm-up or ramp-up phase of production.These defects usually happen because machines, tools, or processes haven't reached optimal operational conditions. Factors like temperature stabilization, incorrect calibration, residual materials, or operator oversight during start-up can all contribute to this issue. Why Start-Up Rejects MatterAlthough they might seem insignificant in isolation, start-up rejects...