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Data-driven improvement typically follows a familiar pattern: Define a Y metric, identify potential X variables, obtain data, and model Y=f(X) to determine optimal conditions. When that pattern was used to investigate critical factors in maintaining product availability at retailers, things broke down quickly in spite of having a large set of high-quality data. So what should a practitioner do when modeling X’s result in “Why?” instead of Y?
In this case, the Y metric for the project turned out not be the right Y to model – a lesson all Minitab users can learn from. But discovering the right Y was not as easy as it first seemed, and the presenter ultimately had to keep digging deeper until the right metric was uncovered. Adding to the challenge, asking “Why?” uncovered that the true controllable metric was censored – meaning that for many observations only a range of possible values was known. Fortunately Minitab comes armed with the tools for analyzing such data, and in the end Y=f(x) saved the day once again!
Attendees will learn advice for selecting an appropriate Y metric, giving a model a healthy reality check, and dealing with censored data.
Process mapping is an easy-to-use method that allows people to analyze and agree on the most efficient paths for improving or re-engineering processes. Process maps aid in identifying redundant and inefficient tasks, poor handoffs, and unclear decisions. Process maps can be used with virtually any process, but selecting the best process map tool often is not clear leading to delays and rework for the process improvement team.
This hands-on session will present guidelines for using process mapping as an improvement tool by describing:
This presentation will demonstrate process mapping tools using Companion software and will be beneficial to all attendees who are involved in process improvement.
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