Lean Research Group


The Lean Research Group at Cal State East Bay aimed at leading innovative research to serve industry members in their Lean journey. The group strived to achieve this goal by intersecting innovative technology and mental health and wellness interventions with Lean techniques. We applied these solutions in real world situations through industry collaboration and partnership. 

PAST Efforts

Promoting and Supporting Lean Journeys and Learning

The growing implementation of IPD requires that professionals receive just-in-time training on the founding principles and strategies of Lean design and construction. However, practitioners might not only have the time to participate in continuous training, but they might also not have a self-awareness of their knowledge. To support future learning, an individual assessment instrument was developed so practitioners could assess their knowledge and efforts in implementing Lean principles, develop self-awareness, and self-regulate their journey. The instrument was developed by leveraging experiences and literature in Lean principles as well as theories of self-regulated learning in educational psychology. The instrument has been implemented in several IPD projects and received over 100 responses, and is now hosted on the official Lean Institute website. With the instrument, we hope to promote the growth of individuals’ knowledge and efforts through the entire delivery process of a project.


Leveraging Mobile Technology to Reduce Waste

Based on a field-driven case study, the team focused on the analysis and removal of waste through the use of video studies and process modeling. In this case study, the researchers worked with superintendents and field workers to record the installation process of facade systems for an office building. After the video recording and on-site interviews, the team process mapped the installation and identified various types of wastes, which caused the installation to run inefficiently. Based on this analysis the team was able to identify that the installation could save over $200,000 and 25 days of field work.