In this stage, different information technologies are used in isolation. Computerization is primarily used to perform repetitive tasks more efficiently. However, it’s still possible to find machines without a digital interface, especially machinery with long life cycles or machines that are manually operated.
Business applications are now connected to each other and Internet Protocol (IP) is becoming more widely used. Isolated deployment of information technology is replaced by connected components, which is a key requirement for the Internet of Things.
To become an agile enterprise, company-wide visibility is essential. In this stage, sensors enable processes to be monitored automatically. The data gathered by the sensors provide useful insights so the company can make informed decisions.
Transparency is all about understanding why something is happening and producing knowledge through data analytics. Having transparency also enables collaboration between company departments and allows a decentralized decision-making process.
The company utilizes data to help predict and depict scenarios that are likely to occur. As a result, the company can anticipate future developments and take appropriate countermeasures in good time. Moreover, they can reduce unexpected events caused by disruptions and plan more robust operations.
Adaptation allows a company to delegate certain decisions to IT systems so it can easily respond to changing business conditions. The goal of adaptability has been achieved when the company can use data to make decisions that have the best possible results in the shortest possible time, or as we call it high Overall Equipment Effectiveness (OEE).
Case
Company X is experiencing a backlog in production despite using IoT for data visibility (stage 3 of digital maturity).
From the IoT sensors, it is found that machine A, B, and C are not connected to each other. Therefore, they cannot be
analyzed as a single production line. This scattered data is a problem.
Case
Fix the scattered data by consolidating all the sensors on the factory floor into one monitoring platform. With the new
found transparency (stage 4), Company X finds out that there is a bottleneck in the production line; machine A is
overloaded with tasks while machine B and C sit unproductive. This is the reason why the backlog happens. So, Company X
decides to delegate half of machine A’s tasks to machine B.
Case
The bottleneck is solved, no more backlog. Success! In order to prevent the same case from happening, Company X uses
data analytics to monitor the amount of work orders and create an automatic alert for when product demands almost reach
the production line’s max capacity. Based on the trends gathered by AI (stage 5), they will be overloaded during the
national holiday month
Case
Now that Company X has anticipated the increase in demand, it created an automated action where machine B will handle
more of machine A’s tasks while machine C handles both its tasks and machine B’s. True enough, an increase in demand
takes place. Automatically, the machines adapt to the situation by using the new task allocation (stage 6). As a result,
production runs as planned and no backlog happens. Knowing that the system works, now Company X can find new
opportunities to grow their business while letting automation handle routine tasks.
Telkomsel IoT Smart Manufacturing provides a Manufacturing Execution System (MES) that works as a digital ecosystem for your factory. MES will integrate and analyze all the data gathered from various sources to give you insight for increased efficiency, productivity, and operational safety.
Explain your business condition, challenges, and operational targets. Our IoT Manufacturing Expert will provide you with a technology implementation strategy that fits to your needs.
IoT Expert will design a factory monitoring and management solution according to the strategy made in the consultation stage. The solutions integrated within the MES include the analytics feature, cyber security, and connectivity.
The chosen design will be implemented in your factory. We will monitor its activity and usage, and also adjust any part that needs fixing, so that your factory can operate smoothly.
Our collaboration will continue throughout the use of smart manufacturing. You can consult for any maintenance needs, staff training, even plan for your next tech implementation.
-30% inventory costs
+25% labor efficiency
+20% production output
-25% hazardous operations industry
