https://doi.org/10.24928/2021/0137
Tasks most likely get done right when the performers’ criteria match the criteria of those who receive the completed task (the customers). Knowledge in construction is mostly tacit. Making the tacit explicit is challenging and has to be conversational. Everyday learning and the structured planning conversations in the Last Planner® System (LPS) can help make tacit knowledge explicit. This conceptual paper explores the connections between learning, understandings of criteria and rework in project-based production to understand, how can we reduce rework on projects that arise from performers’ misunderstanding of customer criteria for each task? The preliminary findings are a) Less rework will be required when performers can develop a shared understanding of the criteria for each work task with their customers; b) Shared understanding is most likely when the criteria are explicit; c) Everyday learning will enable the process of making tacit information more explicit. This paper has implications for practitioners as everyday learning and shared understanding will help workers at all levels to continuously share and learn while feeling psychologically safe enough to make mistakes and learn from them. It also suggests further multi-disciplinary research in the area of shared understanding and rework.
Reliable promising, Last Planner® System, flow, rework, everyday learning
Mossman, A. & Ramalingam, S. 2021. Last Planner, Everyday Learning, Shared Understanding & Rework, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC) , 697-706. doi.org/10.24928/2021/0137 a >
Download: BibTeX | RIS Format