Como você gerencia grandes quantidades de dados na fabricação?

Within larger organizations, designating a dedicated department responsible for data collection and integration can foster expertise development and lead to greater benefits for stakeholders. Conversely, in smaller organizations, it becomes essential to explicitly assign additional roles to individuals to ensure effective data collection and integration processes.

It's about how you segregate heavy, medium and light machine data, their periodical performance. Also depends on what type of manufacturing industries you have. It's essential to do thorough research from ground level.

To tell the truth, there may be something wrong or it may be some mistakes all the time. I don’t know hoe but in my point of view there must be always someone to check the data before inputting them in the mentioned sources and after that there must be a validator before observing them to CEO

In many cases its a traditional method to store data. So look into those options where it can be safe and cost effective too. Cloud storage and stuffs are good idea but that requires lot of research and investment, so plan and act on it.

In order to create smarter factories we should not only listen to our colleagues but also listen to our machines. As an example a sensor in our machine already knew that a bearing was failing, but we where not ‘listening’ or able to interpret the data. For this as first step we need start collecting the data from machine and best option is OT ( Operation Technology ) to IT ( Information Technology ) Convergence . In brief we can start collecting the required PLC tags in OPC Kepware and may be using some IOT gateway like IOT green grass stream the data to Cloud . Get the date in Meta data format and store may be if we are using AWS in that case Redshift data base . Yes for sure we need to be taking care of the Cyber Security .

Once the machine Data is made available in Data lake in meta data format preferably on cloud next step would be to make report which would help to compare the performance of machine with the same plant and across the plants. In my experience we connected and all our Mixer m/c from 7 manufacturing plants and gave lot of insight and took actions to improve the productivity by 10 % which in turn helped in reducing our energy consumption by 3 percent . We used BI tool like Power BI to make reports / dashboards. Also trained many people on shop floor in every manufacturing location with these kind of BI tool and use as self help tool . Believe me this was big success as they started building reports to improve process/ productivity.

Certainly, when I embark on a new role or project, my initial action is to gather historical data and employ basic analytics to examine patterns and current conditions. This process allows me to gain a deeper comprehension of the situation. Moreover, it serves as a means to uncover unexpected insights and challenge prevailing assumptions. It can be a revelation for both team members and upper management. This analytical groundwork informs subsequent actions, ultimately demonstrating the true value of my endeavors. Additionally, it's crucial to share the outcomes with stakeholders to secure the necessary support and resources.

Collection of right and relevant data ..whether historical or current is very significant to arrive at more realistic inferences. We must apply statistical methods to remove abnormal values to reach more reliable population of data which will make our analysis and conclusions more fact based and thereby, we are able to project future trends .

The insights derived from the collected data will enable us to make informed decisions and enhance productivity. It empowers us to adopt a data-driven approach to decision-making. Furthermore, incorporating a narrative into all our communications can significantly enhance the impact of our messages and improve overall communication. Such narratives might highlight envisioned improvements or share past experiences where data was effectively utilized.