Credit Never Happened Simulation

This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. See Insight 752 for a causal loop version of this model.

This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. See Insight 752 for a causal loop version of this model.

A number of enhancements have been made to the relations version of this model to turn it into a working simulation. Please read the description of the variables in the Configuration Panel on the right.
The baseline settings result in a stable operation as it should with a [Base Performance] of 39 resulting from [Time Spent Working] = 39 and [Time Spent on Improvement] = 1.
With a [Desired Performance Change] = 5 how the system responds depends on the choice of whether to work harder, smarter, or some of each.
With a choice of [HardSmart] = 0.1, which means 90% added effort on [Time Spent Working] and 10% effort on [Time Spent on Improvement] desired performance is quickly reached though can't be maintained because of [Capability Erosion]. Actual performance then begins to decline over time.
With a response of [HardSmart] = 0.9, which means 10% added effort on [Time Spent Working] and 90% effort on [Time Spent on Improvement] it takes a bit longer to achieve [Desired Performance] though the [Time Spent in Investment] rapidly provides payback. [Desired Performance] in time is achieved with less [Time Spent Working] thus reducing the [Cost of Operation].
With a response of [HardSmart] = 0.5, which means 50% added effort on [Time Spent Working] and 50% effort on [Time Spent on Improvement] it takes a bit longer to achieve [Desired Performance] than in the previous example. The [Time Spent Working] achieves the desired performance and the the [Time Spent on Improvement] does provide a slight benefit over time, though not considered significant.
Change the parameters and run the simulation a number of times to get a better sense of the relationships of this model.

View the model in Insight Maker