IGLC 30 · Edmonton, Canada · 2022
Developing & Testing a Value Stream Map Simulation: Helping the Construction Industry Learn to See
- Graduate Student, Department of Construction Science, Texas A&M University, College Station, TX, USA, o: (979) 422-6385, yasamanarefazar@tamu.edu, orcid.org/ 0000-0003-2827-572X
- Associate Professor, Department of Construction Science, Texas A&M University, College Station, TX, USA, o: (979) 845-43zrybkowski@tamu.edu, orcid.org/ 0000-0002-0683-5004
https://doi.org/10.24928/2022/0135
Abstract
Resources to interactively teach value stream mapping (VSM) to construction practitioners and students of lean are currently limited. While traditional value stream mapping methods make sense for those with a background in manufacturing or industrial engineering, they are arguably neither intuitive to construct nor easy to understand by those in the building industry. There is a need for a value stream mapping method that implements and communicates in ways that are already familiar to those in construction. The objective of this research is to develop and test a VSM simulation as a preliminary study that makes intuitive sense for those in the construction industry and so can serve as a training method for the identification and removal of waste. A virtual simulation was developed and tested using a design research methodology to facilitate scalability and to enable on-line play.
Keywords
- Lean construction
- value stream mapping
- continuous improvement / kaizen
- waste
- workflow
- lean simulation
Cite this paper
APA 7th edition
Arefazar, Y., & Rybkowski, Z. K. (2022). Developing & Testing a Value Stream Map Simulation: Helping the Construction Industry Learn to See. In Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC) (pp. 342–353). https://doi.org/10.24928/2022/0135
Shortened reference for IGLC papers
Arefazar, Y., & Rybkowski, Z. K. (2022). Developing & Testing a Value Stream Map Simulation: Helping the Construction Industry Learn to See. IGLC30. https://doi.org/10.24928/2022/0135