33rd Annual Conference of the International Group for Lean Construction (IGLC 33) - Osaka and Kyoto, Japan - 2025

https://doi.org/10.24928/2025/0266

Towards Enabling Sustainability-aware Operations in Housing Manufacturing with AI-driven Value Stream Mapping: a Review

Miguel Mora1, Pingbo Tang2 & Mauricio Toledo3

1PhD student, Civil and Environmental Engineering, HMHI Lab, Carnegie Mellon University, Pittsburgh, PA, USA, [email protected], orcid.org/0009-0003-4285-8670
2Associate Professor, Civil and Environmental Engineering, HMHI Lab, Carnegie Mellon University, Pittsburgh, PA, USA, [email protected], orcid.org/0000-0002-4910-1326
3Assistant Professor, Head of Civil Engineering Department, Universidad Andres Bello, Santiago, Chile, [email protected], orcid.org/0000-0002-3903-7260

Abstract

The construction industry is a major contributor to global CO2 emissions, with housing construction playing a significant role. Lean and technological approaches offer promising solutions for reducing emissions in housing, since Value Stream Mapping (VSM) enhances process analysis, and Artificial Intelligence (AI) can optimize complex systems. This paper aims to identify the state-of-the-art and drivers of current approaches that combine AI and VSM to integrate sustainability analysis in manufacturing. The main objective is to gather insights from the manufacturing industry to develop an AI-driven VSM for sustainability-aware operations in housing manufacturing. Based on a literature review based on the PRISMA methodology, the authors identified that Internet of Things (IoT) approaches enable AI-driven VSM by integrating real-time data collection. Specifically, IoT enables real-time data collection, and AI enables dynamic process analysis for monitoring, optimizing, and controlling. Additionally, defining sustainability goals and assessing information quality is critical before integrating sustainability variables in AI-driven VSM approaches. This paper presents the research background, findings, recommendations, and future research guidelines to deliver an AI-driven VSM approach for reducing CO2 emissions in housing manufacturing.

Keywords

Value Stream Mapping, Artificial Intelligence, IoT, Housing Manufacturing, Sustainability

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Reference in APA 7th edition format:

Mora, M., Tang, P. & Toledo, M.. (2025). Towards Enabling Sustainability-aware Operations in Housing Manufacturing with AI-driven Value Stream Mapping: a Review. In Seppänen, O., Koskela, L., & Murata , K. (Eds.), Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33) (pp. 976–986). https://doi.org/10.24928/2025/0266

Shortened reference for use in IGLC papers:

Mora, M., Tang, P. & Toledo, M.. (2025). Towards Enabling Sustainability-aware Operations in Housing Manufacturing with AI-driven Value Stream Mapping: a Review. IGLC33. https://doi.org/10.24928/2025/0266

 

Founded in 1993, the IGLC is an international network of researchers from practice and academia in architecture, engineering, and construction (AEC) who feel that the practice, education, and research of the AEC industry have to be radically renewed in order to respond to the global challenges ahead.

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