Dan Gilmore of Supply Chain Digest has written a few articles on the value of supply chain modeling this year. Then, a reader asked “if the fear of bad models leading to terrible supply chain decisions wasn’t a key factor in some companies avoiding modeling.”
This was a great topic that comes up enough to address. You can check out the full response in my blog post at SC Digest. But, here are the top three reasons a model can go wrong:
- The results come in, but do not suggest a change
- You never get results and have to cancel the modeling project
- You implement the results and they turn out to be wrong
It is good to understand these reasons so you can avoid them.