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Graph-Based Automated Construction Scheduling without the Use of BIM

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Abstract

The construction industry has been suffering from delay and cost overrun for decades. Experienced schedulers programs and allocate contingencies (both cost and time) based on professional experiences and gained knowledge. Such tacit knowledge has not been captured, stored, and shared with inexperienced schedulers. This paper proposes a Graph-based Automated Scheduling (GAS) method to capture, store and reuse the tacit knowledge in the construction schedules. The proposed GAS method takes construction schedules as input, extracts schedule features, classifies schedules into different types of sequences, selects and assembles sequences into schedules, and eventually optimises time- and cost-efficiency of assembled schedules. The GAS method is validated on two case studies. The results indicate that the automatically generated construction schedule is, on average, 6.70% closer to the actual schedule than the planned schedule . Different from existing automatic scheduling methods, GAS relies little on the availability and data richness of BIM models. Hence, GAS helps schedulers initiate new schedules more efficiently at the early construction stages.

Description

Keywords

Case study, Automatic scheduling, Project planning

Journal Title

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Conference Name

Journal ISSN

0733-9364
1943-7862

Volume Title

Publisher

American Society of Civil Engineers (ASCE)
Sponsorship
Innovate UK (104795)
Engineering and Physical Sciences Research Council (EP/P013848/1)
EPSRC (EP/V056441/1)
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