IGLC.net EXPORT DATE: 28 April 2024 @CONFERENCE{Arefazar2022, author={Arefazar, Yasaman and Rybkowski, Zofia K. }, editor={ }, title={Developing & Testing a Value Stream Map Simulation: Helping the Construction Industry Learn to See}, journal={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, booktitle={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, year={2022}, pages={342-353}, url={http://www.iglc.net/papers/details/1969}, doi={10.24928/2022/0135}, affiliation={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 }, 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. }, author_keywords={Lean construction, value stream mapping, continuous improvement / kaizen, waste, workflow, lean simulation }, address={Edmonton, Canada }, issn={2309-0979 }, publisher={ }, language={English}, document_type={Conference Paper}, source={IGLC}, }