Leveraging the data – Solutions to reduce waste in production (Part 2)

Only about 15% of the data obtained by statistical process control shows the benefits when the product is delivered to the distribution. These data enable managers to operate the process more efficiently, set up troubleshooting instructions, and minimize damage if an incident occurs.

In fact, most organizations don’t look at the remaining 85% of their data. These are data that do not directly address the problems that need to be addressed, but they play an integral role in finding the cause of the problem. A fundamental mistake that many organizations make is to spend a lot of time analyzing and troubleshooting, instead of finding ways to prevent them from happening.

If a project relates to the topic of productivity – quality, they will get more attention than data outside the specification limits. Also because too focused on one or several issues, managers will lose the overall view for the whole process.

Continuing to find ways to ensure quantity and quality is very tiring. To troubleshoot and ensure the line works stably, adhering to the technical instructions is necessary. However, if the problem lies in the technical guidelines themselves, it is not a sustainable solution.

Your investment will help you see a bigger picture

The more complete your data, the greater your potential for improvement. When considering a problem in many aspects, you can identify the exact cause of them, thereby offering solutions to handle “once and forever” instead of running on the demand of output, quality. quality with temporary remedies. To do this, you need the support of software, big data management systems such as Big data, SPC, etc auxiliary devices to collect data such as sensors, etc. All need Investment costs, big or small.

However, as mentioned in the previous section, taking the example of the beverage production company consulted by InfinityQS, the long-term profit they receive is much greater than the investment amount. Investment in building databases is essential for any organization, especially in the era of Industry 4.0. When talking about waste in production, people often just mention wasting materials, labor, time, etc but in fact, wasting data is also a big waste. Therefore, to achieve the goal of improving quality productivity, organizations need to make the most of the data they have.

Productivity and Quality Office