Ionce worked in the manufacturing industry. Some processes were so complex that even a very experienced and competent engineer would not necessarily know how to identify the best settings for the manufacturing equipment.

You could make a guess using a general idea of what should be done regarding the optimal settings, but that was not sufficient. You need very precise indications of the correct process parameters, considering the specificities of the manufacturing equipment.

Or you could guess the best settings, assess the results, and then try to further improve the settings by modifying one factor at a time. This could be a lengthy process, however, and you still might not find the optimal settings.

Even if you have the optimal settings for current conditions, to ensure that the plant remains at the leading edge, new technologies must be adopted, which introduce unknown situations and new problems. Ultimately, you need a comprehensive model that helps you understand, very precisely, how the system works. You obviously cannot get that by adjusting one factor at a time and experimenting in a disorganized way.

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