The Need for a Human Centric Approach in C4.0 Technologies

Noueihed, Karim; Hamzeh, Farook

doi:10.24928/2022/0194

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…TWISCO's business rules engine could be used as a framework for bottomup identification of logistic constraints through new case studies. These should also consider the potential limitations of Digital Twins in construction regarding the human related aspects highlighted by Noueihed and Hamzeh (2022). Sensor's implementation on construction sites and automated tracking from the supplier proposed by the TWISCO PoC should also be more studied.…”

Section: Discussionmentioning

confidence: 99%

Construction Supply Chain Product Data Integration for Lean and Green Site Logistics

Berroir,

Pyszkowski,

Maatar

et al. 2023

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

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Supply Chain Management using Construction Consolidation Centres, kitting and Third-Party Logistics were proposed to streamline material flows in construction and reduce costs. Studies also highlight potential mitigation of the environmental impacts of the Construction Supply Chain but, despite the climate emergency, these solutions struggle to become industry practice. Digitalization, especially with Building Information Modelling based processes, appears as a key enabler for this transition, but it is hindered by heterogeneous data between construction companies and suppliers (made of manufacturers and resellers). Therefore, semantic Digital Twins, that can use Product Information Management, and recent norms on Product Data Templates have been proposed, but they need to be studied through practical cases from both construction site and supply chain perspectives. Consequently, this study applies a Design Science Approach involving 3 pilot projects, a manufacturer and digital supply chain experts around the development of a proof of concept of a Digital Twin tool for Lean and green logistics in construction. We identify what limitations of classical technologies used in the pilots could be addressed by a Digital Twin, we define what product data is needed for such a use case, and we compare practical scenarios for sharing and storing this data.

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Section: Discussionmentioning

confidence: 99%

Construction Supply Chain Product Data Integration for Lean and Green Site Logistics

Berroir,

Pyszkowski,

Maatar

et al. 2023

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

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“…Above all, ethical and humane considerations such as sustaining the human touch, privacy, and the use of the data for performance management represent additional concerns. With Lean construction's notion towards a human-centric approach in construction 4.0 technologies, unconscious consumption of technological advancements that may backfire and corrupt the construction industry is resisted (Noueihed and Hamzeh 2022). Attempts to demarcate the expansion of technology and its uses in construction are constantly being evoked within the Lean construction community, which can address the concerns around disregarding the ethical aspect of employing wearable sensors in the industry.…”

Section: Insights and Gapsmentioning

confidence: 99%

Zooming Into Workers’ Psychology and Physiology Through a Lean Construction Lens

Shehab¹,

Hamzeh²

2023

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

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Lean construction has long been a constant advocate for perceiving humans as the driving force for most ventures and projects. Among the enablers of investigating the potentials and capabilities of humans are wearable sensors for collecting physiological measurements. Current research on wearable sensors in construction has not yet touched on its applicability or integration with Lean construction. Therefore, this conceptual paper "zooms into the workers' psychology and physiology through a Lean construction lens" by exploring the potentials of employing wearable sensors in Lean construction. It aims to revamp current applications of wearable sensors by providing a comprehensive overview of the current state of wearable sensor technology and its applications in the construction industry. It also discusses how current studies on wearable sensors may be linked to Lean construction principles and how Lean concepts can further enhance and foster their potentials. The paper concludes by presenting the future possibilities and directions of wearable sensors in Lean construction and the impacts they can have on the industry.

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“…Moreover, if that kind of approach seems efficient from a technical perspective in a specific evaluation case, the role of the humans involved is not sufficiently considered, which may be particularly inadequate to construction as highlighted by Noueihed and Hamzeh (2022). Therefore, a practical waste management process, encompassing the whole waste management is needed to ensure its applicability in construction.…”

Section: Introductionmentioning

confidence: 99%

On-Site Waste Management: A Use Case of Lean Construction and Artificial Intelligence Synergy

Berroir¹,

Guernaccini²,

Sottet³

2023

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

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The construction industry generates more waste than any other industry. Waste management is getting more and more attention as the policies and mentalities evolve to face the challenges ahead: climate change, materials shortage, circular economy. Most of the waste management activities consist in waste sorting and is carried out downstream of the construction execution, resulting in lower material recovery performance. This paper proposes a method to segregate waste (separate waste based on how it is created) to enhance the reuse, recovery, and recycling of construction waste. Therefore, it investigates the applicability of Lean Construction methods and Artificial Intelligence (AI) tools and their potential synergy. Directly applying classical waste management AI tools (as used in recycling centers) was tested based on real case data. It required an excessive need for data and training. Alternatively, a Lean Construction framework based on a combination of the 5S method, and the Takt Time Planning method was proposed. It enables the streamlining of flows in order to mitigate the impact of on-site constraints on AI training. We instrumented this Lean Construction approach with an AI tool that checks the quality of the construction waste segregation process by detecting mixed materials in dumpsters.

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The Need for a Human Centric Approach in C4.0 Technologies

Cited by 5 publications

References 18 publications

Construction Supply Chain Product Data Integration for Lean and Green Site Logistics

Construction Supply Chain Product Data Integration for Lean and Green Site Logistics

Zooming Into Workers’ Psychology and Physiology Through a Lean Construction Lens

On-Site Waste Management: A Use Case of Lean Construction and Artificial Intelligence Synergy

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