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Management Modeling

By Don Himes
Senior Consultant

When we change or completely redesign how work is done, it is often difficult to determine whether you’ve achieved an optimal set of trade-offs among process time, elapsed time, and labor and support costs. Also, it is difficult to predict in advance the unintended consequences that may occur as you introduce change in the way work is performed. To address these issues, management modeling can be used to test the effectiveness of alternative changes before committing to a new design, avoiding associated costs for technology change and training for the involved staff.

Management modeling is the process of building a model, typically using a process map, then experimenting with the model to improve the process. The components of the management model, which are held in a common repository, include the tasks performed, the organizational actors (roles) and their associated costs, and other demographics associated with the process. The components may be used for a variety of purposes, such as staffing models, unit cost, and workflow analyses. Simulation of the process lets you test and experiment in a risk-free way at minimal cost and in a fraction of the time of other approaches.

The approach for one of our recent projects was as follows:
bulletDocument current processes in standardized workflow diagrams, capturing the discrete tasks performed by each organizational area.
bulletPopulate components of the process diagrams with task duration times, delay times, labor costs, and other relevant data.
bulletConduct simulations for five of the processes and analyze two additional processes in depth. The simulation tool we used provided calculations for:
bulletUnit costing of each business process
bulletProfit and loss for each process
bulletQueuing times to illustrate bottlenecks and show how task times affected key performance indicators

During the course of the project, a simulation of the critically important initial-assessment process demonstrated that improvements identified would yield a 31% productivity gain among a staff of 17 RNs working to reduce a backlog; a related client project subsequently achieved the improvement that Nolan had predicted. A second simulation demonstrated that elimination of misrouted calls at the front-end of the process could yield a 20% productivity gain.

At another client, analysis of the workflow for admissions to a clinic yielded some surprisingly simple but effective improvements, such as adding a scale in exam rooms, saved approximately $117,000 per year.

For commercially available simulation software, the investment to get started is a few hundred dollars plus the time to learn, apply, and adopt the concepts and techniques for use in your organization.

The results can be displayed in a graphical format (process map) or tabular format (Excel spreadsheet) tailored to client-defined preferences. Finally, management modeling and simulation can be integrated with other improvement approaches, such as Lean and Six Sigma.

We have helped our clients with all of the above. If you would like to know more, please e-mail me.