Schedule control model for linear projects based on linear scheduling method and constraint programming

China Railway is undertaking massive construction and development projects. A reasonable and resource-leveled schedule that allows for adjustments for unforeseen circumstances during construction is critical for managing railway construction projects. Currently, most construction projects use tradit...

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Veröffentlicht in:Automation in construction 2014-01, Vol.37, p.22-37
Hauptverfasser: Tang, Yuanjie, Liu, Rengkui, Sun, Quanxin
Format: Artikel
Sprache:eng
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Zusammenfassung:China Railway is undertaking massive construction and development projects. A reasonable and resource-leveled schedule that allows for adjustments for unforeseen circumstances during construction is critical for managing railway construction projects. Currently, most construction projects use traditional network planning methods or the Gantt schedule for project management. However, these methods have limited applicability to railway construction projects, which are typically linear. This study uses the linear scheduling method and constraint programming techniques for solving schedule control problems faced during railroad construction. The proposal comprises a schedule control model, scheduling model, and schedule control system; the scheduling model is central to the schedule control model. Characteristics such as high flexibility and practicality facilitate multi-objective optimization during scheduling and modification of the linear schedule. The proposed model and algorithm were validated by comparing results with actual data from a highway construction project and the Urumqi–Dzungaria railway construction project. •A schedule control model is proposed for railway construction project.•A multi-objective optimization scheduling model is proposed for linear projects.•The scheduling model is based on linear scheduling method and constraint programming.•The proposed scheduling model has much more flexibility and practicality.•CP technique is employed to find the optimal solution of the model.
ISSN:0926-5805
1872-7891
DOI:10.1016/j.autcon.2013.09.008