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Modern training methods call for active engagement of the trainees in the training process. Simulation games are among the most effective methods of training. As waste elimination concepts become more popular, numerous lean training packages have been developed. Most of these packages include simulation games as a hands-on training tool. So far, lean simulation games have largely focused on manufacturing. However, administrative or office processes also contain a great deal of waste and could benefit from a game aimed at their processes. This paper proposes a lean office simulation game to demonstrate the effect of lean implementation on office processes. The game uses four phases to simulate the impact of several lean tools. Various performance metrics are recorded during the game to capture the impact of these tools. A case study of the game played by administrative personnel is included along with an analysis of the results.

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Research service cores at academic health centers are important in driving translational advancements. Specifically, biostatistics and research design units provide services and training in data analytics, biostatistics, and study design. However, the increasing demand and complexity of assigning appropriate personnel to time-sensitive projects strains existing resources, potentially decreasing productivity and increasing costs. Improving processes for project initiation, assigning appropriate personnel, and tracking time-sensitive projects can eliminate bottlenecks and utilize resources more efficiently. In this case study, we describe our application of lean six sigma principles to our biostatistics unit to establish a systematic continual process improvement cycle for intake, allocation and tracking of research design and data analysis projects. The Define, Measure, Analyze, Improve, and Control (DMAIC) methodology was used to guide the process improvement. Our goal was to assess and improve the efficiency and effectiveness of operations by objectively measuring outcomes, automating processes, and reducing bottlenecks. As a result, we developed a web-based dashboard application to capture, track, categorize, streamline and automate project flow. Our workflow system resulted in improved transparency, efficiency and workload allocation. Using the dashboard application, we reduced the average study intake time from 18 to 6 days, a 66.7% reduction over 12 months (January–December 2015).