Lean construction (LC) is nowadays a key management approach for construction projects. Although lean principles and methodologies have progressively been introduced in the Architectural Engineering and Construction (AEC) field since the early nineties, digitalization, Building InformationModeling (BIM) and Artificial Intelligence (AI) are increasing opportunities and potentialities of lean construction, as well as providing construction managers with new methods to control and optimize the building process. Within this scope, this paper elaborates on the multiple digitation levels of LC and discusses the application of different AI techniques to construction project monitoring and management. Two AI applications for LC, one focused on automatic monitoring of construction works and the other dedicated to material handling and transportation planning, are then presented and discussed.

Artificial Intelligence and Lean Construction: Where Are We and Where Are We Going?

Chiara Marchionni;Marianna Rotilio
2024-01-01

Abstract

Lean construction (LC) is nowadays a key management approach for construction projects. Although lean principles and methodologies have progressively been introduced in the Architectural Engineering and Construction (AEC) field since the early nineties, digitalization, Building InformationModeling (BIM) and Artificial Intelligence (AI) are increasing opportunities and potentialities of lean construction, as well as providing construction managers with new methods to control and optimize the building process. Within this scope, this paper elaborates on the multiple digitation levels of LC and discusses the application of different AI techniques to construction project monitoring and management. Two AI applications for LC, one focused on automatic monitoring of construction works and the other dedicated to material handling and transportation planning, are then presented and discussed.
2024
9783031718625
9783031718632
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/246468
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact