In a numerical methods computer course that I took in university (just a short time ago in my mind), one of the first things that we learned to deal with were limits and boundaries. We had to write a simple program that would divide two numbers. The numbers would be input parameters to our routine.
The exercise sounded simple enough to a first year university student. Was it though? We quickly learned that we were not going to be the only users of this simple little routine. When it was handed over to our professor, non-numeric inputs and a zero denominator quickly brought a poorly written routine to its knees. Lesson learned!
The evolution of Business Automation has occurred independently across many disciplines and technologies over the years. From the shop floor to the corporate offices expertise was developed independently across these disciplines and technologies. Boundaries and limitations were learned and understood.
With the advent of MES we are now being challenged to understand these boundaries across multiple disciplines and technologies. This is not an easy feat and definitely requires an array of inputs from various people and sources.
Who, and what, are the input parameters to your MES solution? Is it a multi-disciplined approach? Will your MES solution have limitless success or is there a hidden zero in one of your denominators? Taking the time to think about these answers could make the difference between getting an A+ or a B-.
The exercise sounded simple enough to a first year university student. Was it though? We quickly learned that we were not going to be the only users of this simple little routine. When it was handed over to our professor, non-numeric inputs and a zero denominator quickly brought a poorly written routine to its knees. Lesson learned!
The evolution of Business Automation has occurred independently across many disciplines and technologies over the years. From the shop floor to the corporate offices expertise was developed independently across these disciplines and technologies. Boundaries and limitations were learned and understood.
With the advent of MES we are now being challenged to understand these boundaries across multiple disciplines and technologies. This is not an easy feat and definitely requires an array of inputs from various people and sources.
Who, and what, are the input parameters to your MES solution? Is it a multi-disciplined approach? Will your MES solution have limitless success or is there a hidden zero in one of your denominators? Taking the time to think about these answers could make the difference between getting an A+ or a B-.
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