Automated and adaptable construction work scheduling: a roadmap

Shakharov, Azamat, Beach, T. ORCID: https://orcid.org/0000-0001-5610-8027 and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 2025. Automated and adaptable construction work scheduling: a roadmap. Organization, Technology and Management in Construction: an International Journal 17 (1) , pp. 239-259. 10.2478/otmcj-2025-0014

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Abstract

In recent years, automation in construction scheduling has gained popularity due to advancements in digital construction, yet it has not achieved widespread adoption. Significant challenges remain in developing adaptive schedules that effectively manage unforeseen events and construction delays. This study addresses a critical research gap by evaluating the automation levels of individual construction planning processes, an area previously underexplored. Employing a systematic literature review, this study investigates the state of the art in automated, dynamic and adaptive scheduling techniques. The review examined proposed planning procedures, assessing the extent of automation in key aspects of construction scheduling, including task sequencing, resource allocation and task duration estimation, with a focus on building information modelling (BIM) integration. The analysis reveals limited adoption of automated scheduling, BIM technologies and adaptive scheduling methods. Future research should explore advanced automation approaches, enhance BIM integration and develop adaptive scheduling solutions to improve efficiency and responsiveness in construction management.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0, Type: open-access
Publisher:	Paradigm Publishing
ISSN:	1847-5450
Date of First Compliant Deposit:	22 December 2025
Date of Acceptance:	9 September 2025
Last Modified:	22 Dec 2025 12:45
URI:	https://orca.cardiff.ac.uk/id/eprint/183414

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