Synergies Between Lean Construction and Artificial Intelligence: AI Driven Continuous Improvement Process

Cisterna, Diego; Lauble, Svenja; Haghsheno, Shervin; Wolber, Jan

doi:10.24928/2022/0122

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…The nature of the papers varied between theoretical research and practical research. Theoretical research focused on AI's impact on the different Lean aspects like Lean principles and tools (Cisterna et al, 2022) and human-machine interaction (Arroyo et al, 2021), while the practical research utilized AI techniques to develop, verify, and validate AI models for different project purposes such as productivity (Zhao & Chua, 2003), and planning and scheduling (Benjaoran & Dawood, 2005).…”

Section: Papers With Direct Mentions Of "Artificial Intelligence"mentioning

confidence: 99%

Unleashing the Power of Chatgpt for Lean Construction: An Early Outlook

Hatoum¹,

Nassereddine²

2023

Annual Conference of the International Group for Lean Construction

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Artificial Intelligence (AI) is one of the core technologies that was brought forward by the fourth industrial revolution. This technology is disrupting industries all around the globe, and the construction industry is no exception. Research targeting AI in construction has grown exponentially in the last decade as researchers investigate how to leverage AI across the project lifecycle. With the recent release of ChatGPT, AI research is expected to grow even more as the construction industry navigates this breakthrough and understands its impact.This paper focuses on AI in the context of Lean Construction and has two main objectives. First, the paper reviews the database for the International Group of Lean Construction (IGLC) to identify AI-related publications, summarize their findings, and detect the research trends. A total of nineteen papers were identified, presenting various theoretical and practical aspects of AI in Lean Construction. Second, the paper provides an early outlook into ChatGPT and experiments with its capabilities through three simple use cases that explore ChatGPT's ability to educate and train on Lean aspects, perform conceptual analysis, and develop Lean applications. The early interaction with ChatGPT showed promising potential for the construction industry with encouraging results that can empower the Lean community.

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Section: Papers With Direct Mentions Of "Artificial Intelligence"mentioning

confidence: 99%

Unleashing the Power of Chatgpt for Lean Construction: An Early Outlook

Hatoum¹,

Nassereddine²

2023

Annual Conference of the International Group for Lean Construction

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“…Low-code platforms and lean construction are likely to become even more integrated as the construction industry continues to evolve. It is anticipated that the use of AI and other sophisticated technologies in low-code platforms would expand, hence enhancing project efficiency and decreasing waste (Cisterna, Lauble, et al, 2022). Additionally, the use of lowcode solutions in construction will continue to expand beyond simple workflows to include complex, data-intensive applications.…”

Section: Low-code Technology and Lean Constructionmentioning

confidence: 99%

Using Low-Code and Artificial Intelligence to Support Continuous Improvement in the Construction Industry

Martinez¹,

Cisterna²

2023

Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)

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Low-code is a new technology paradigm used to support digitalization in different industries. Nevertheless, there are no studies analyzing the implications of this technology in the construction industry context. Through action research, this paper explores the potential of lowcode to support continuous improvement of construction processes. The authors present the development and implementation of a low-code/artificial intelligence (AI)-based solution to automate data processing from paper delivery notes on-site. The as-is process was measured and compared against the low-code/AI powered process to verify efficiency gains. The development process of the digital solution was also analyzed to derive the findings of the study. The implementation of the digital solution resulted in 78% process time savings. The study also reveals the importance of involving people closer to operations in the development process, which resulted in efficient elicitation of requirements and the delivery of a solution meeting the needs of the end users. This paper highlights the potential of low-code productive development practices to support the digitalization in the construction industry. It also enlightens areas for further research and encourages the development of additional case studies to provide evidence of the benefits and limitations of using low-code to support continuous improvement in the construction industry.

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“…In this context, Lean techniques supports not only the continuous improvement of the production system by avoiding waste, but also the optimization of the interaction between humans and machines (Cisterna et al, 2022). Lean Construction is the adaptation of Lean principles derived from the Toyota Production System into the construction sector.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Today, the application of Lean techniques to construction (Lean Construction) plays a crucial role on many construction sites as with them processes can be stabilized and continuously improved (Cisterna et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Cost Reduction in Construction Through Project Compatibility in a Virtual Prototype

Santos¹,

Famá²

2023

Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)

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The design stage is decisive for the Product Development Process, as it is in this stage that the main guidelines of the projects are defined, which directly affect costs, deadlines and production methods. In this sense, virtual prototypes have been used to approve project alternatives, perform engineering analysis, support production planning and present the product to customers. Thus, they allow the reduction of time and resources in decision-making, in addition to predicting problems that may lead to difficulties in execution. In this context, the research sought to optimize pre-existing projects of a popular standard residence through the development of a virtual prototype through the Autodesk Revit tool where it was possible to reconcile the structural, electrical, hydraulic and architectural projects, in addition to adapting such projects with the construction techniques used by the construction company. In this interactive process, the automatic method of detection of interferences (crash-detection) and the manual were applied, through the contribution of the stakeholders of the work. The estimated direct savings obtained per house built was around BRL 905.00, knowing that this development was a housing complex of 90 houses, a reduction of approximately BRL 81 thousand reais was obtained in total.

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Synergies Between Lean Construction and Artificial Intelligence: AI Driven Continuous Improvement Process

Cited by 6 publications

References 11 publications

Unleashing the Power of Chatgpt for Lean Construction: An Early Outlook

Unleashing the Power of Chatgpt for Lean Construction: An Early Outlook

Using Low-Code and Artificial Intelligence to Support Continuous Improvement in the Construction Industry

Cost Reduction in Construction Through Project Compatibility in a Virtual Prototype

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