The Practical Optimization of Industrial Processes is closely linked to the subject of BPM. But before we can delve deeper into this issue, it is important to define what exactly we mean by the practical optimization of industrial processes:
Read about a Process Optimization example here.
The practical optimization of industrial processes is the organization of effort directed to ensure:
- Maximized productivity
- Maximized security
- Minimized operating costs
The approach is to keep levels of productivity at the highest possible efficiency, by controlling and carefully applying other variables that can be measured during the practical optimization of industrial processes, such as:
- Inventory level
- Power level
- Material temperature
- Boiler temperature
- Boiler pressure
- Reservoir level
- Conveyor speed
And many others, but always within safe limits.
In this context, a good BPM system has several advantages that you can implement in your company to be able to properly monitor all key variables.
Differential: takes into account the “real world”
Here’s the difference in this methodology: productivity and efficiency cease to be a consequence of further measured levels and indices and become determinants.
Role reversal: efficiency and productivity are what determine the most appropriate levels and values of other system variables, so as to achieve an optimization of industrial processes within feasible, real and achievable parameters.
As I have commented several times, before attempting to optimize a process, industrial or not, you must understand it. All industrial processes involve individual operations that can be optimized by maximizing their efficiency and reducing their cost. By integrating all of them under these parameters and keeping a tight control over the measurement of each major factor (temperature, pressure, losses etc), we will be making the plant operate optimally and securely and working with a focused approach to the “real world”, that is, if we increase productivity and efficiency, some physical variables must be controlled and measured. The best result is accurately controlling the physical variables in a safe way, without compromising security or productivity.
Objectives of the Practical Optimization of Industrial Processes
More than achieving the best results, practical optimization also involves planning to perform with maximum efficiency. Therefore, among the objectives of the practical optimization of industrial processes, we can list:
- Collecting data in real time
- Transforming data into useful information
- Making data available quickly (management dashboards)
- Using data to support decision-making
- Measuring the results
- Feeding data back into the system
- Promoting continuous improvement and the practical optimization of industrial processes.
As you saw, the practical optimization of industrial processes aims, among other things, to ensure production quality. It is not enough to define in detail how each activity should be performed and be sure that all people have access to these process descriptions. It’s important to also ensure implementation within certain standards. And for that, we need to constantly monitor the results. Again it is clear that a good BPM system will be crucial to any company that wishes to perform a practical optimization of industrial processes.