This is a good question. First, one lifecycle clearly does not fit all. Teams find themselves in a unique situation: team members are unique individuals with their own skills and preferences for working, let alone the scaling/tailoring factors such as team size, geographic distribution, domain complexity, organizational culture, and so on which vary by team. Because teams find themselves in a wide variety of situations shouldn’t a framework such as DA support several lifecycles? Furthermore, just from the raging debates on various agile discussion forums, in agile user groups, at agile conferences, and even within organizations themselves it’s very easy to empirically observe that agile teams are in fact following different types of lifecycles.
The system is being complete replaced . It is not uncommon to see homegrown systems for human resource functions being replaced by COTS systems such as SAP or Oracle Financials.
I am working on implementing OEE in one of our machines that makes centertubes for automotive oil filters. The steel is rolled and each part number has specific diameter and length. However, the run-rates vary for each part numbers. I am somewhat able to calculate Takt time for each part number based on the standard run-rate. However, the problem for me is to determine Ideal Cycle Time. The machine can run as fast as 65 PPM for one part number while it runs as slow as 13 PPM for some other part number. In this case, what would be the optimal way to calculate Ideal Cycle Time for each part numbers? As you know, Ideal Cycle time is required to calculate Performance Metric of OEE.