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Offsite construction: Developing a BIM-Based optimizer for assembly

Gbadamosi, Abdul Quayyum; Mahamadu, Abdul Majeed; Oyedele, Lukumon O.; Akinade, Olugbenga O.; Manu, Patrick; Mahdjoubi, Lamine; Aigbavboa, Clinton


Abdul Gbadamosi
Research Associate - Big Data Application Development

Abdul Mahamadu
Associate Lecturer - CATE - AAE - UAAE0001

Lukumon Oyedele
Professor in Enterprise & Project Management

Olugbenga Akinade
Associate Professor - AR/VR Development with Artificial Intelligence

Patrick Manu

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Lamine Mahdjoubi
Professor in Info. & Communication & Tech.

Clinton Aigbavboa


© 2019 Elsevier Ltd The lack of adequate consideration of the underlying factors affecting the methods of building assembly often results in inefficiencies in the uses of building materials, equipment and manpower. These inefficiencies are further compounded by the nature of the construction industry, which traditionally involves complex processes that result in wastages during production. To address this problem, this study integrates the principles of Design for Manufacture and Assembly (DFMA) and Lean Construction to develop a design assessment and optimization system to assist designers in the selection of alternative building design elements and materials in a building information model. This assessment and optimization system rely on metrics derived from production data associated with the ease of assembling, ease of handling, the speed of assembling and the wastage during assembly or construction of a building element or material. This paper presents the development of BIM-OfA assessment logic and its application for assessment and optimal selection of building envelop through the extension of Building Information Modelling (BIM). The system demonstrates its adequacy as an indicator of construction and material efficiency, its integration with BIM further enhances the practicality of using production data such weight of components, number of on-site workers and number of parts, for buildability assessment to improve efficiency and reduce waste.


Gbadamosi, A. Q., Mahamadu, A. M., Oyedele, L. O., Akinade, O. O., Manu, P., Mahdjoubi, L., & Aigbavboa, C. (2019). Offsite construction: Developing a BIM-Based optimizer for assembly. Journal of Cleaner Production, 215, 1180-1190.

Journal Article Type Article
Acceptance Date Jan 11, 2019
Online Publication Date Jan 14, 2019
Publication Date Apr 1, 2019
Deposit Date Feb 7, 2019
Publicly Available Date Jan 15, 2020
Journal Journal of Cleaner Production
Print ISSN 0959-6526
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 215
Pages 1180-1190
Keywords assembly, efficiency, DFMA, lean construction, building
Public URL
Publisher URL
Additional Information Additional Information : This is the author's accepted manuscript. The final published version is available here:


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