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Critical path method-line of balance model for efficient scheduling of repetitive construction projects Hegazy, Tarek

By: Publication details: Transportation Research Record, 2001Description: nr 1761, s. 124-9Subject(s): Bibl.nr: VTI P8167:1761Location: Abstract: A general model is presented for efficient scheduling and resource management in construction projects that involve a high degree of repetition, such as highways and pipelines. The proposed model has three main features: (a) it fully integrates the critical path method for network analysis and the line of balance technique for linear scheduling, (b) it allows realistic schedule development considering project deadline and resource constraints, and (c) it incorporates improved schedule presentation that shows crews' movements along the repetitive units and their detailed work assignments. The detailed formulation of the proposed model is described, and an example application is presented. The proposed model is demonstrated to offer significant advantages as a resource-driven approach. Future extensions to the proposed model are then outlined.
Item type: Reports, conferences, monographs
Holdings
Current library Call number Status Date due Barcode
Statens väg- och transportforskningsinstitut Available

A general model is presented for efficient scheduling and resource management in construction projects that involve a high degree of repetition, such as highways and pipelines. The proposed model has three main features: (a) it fully integrates the critical path method for network analysis and the line of balance technique for linear scheduling, (b) it allows realistic schedule development considering project deadline and resource constraints, and (c) it incorporates improved schedule presentation that shows crews' movements along the repetitive units and their detailed work assignments. The detailed formulation of the proposed model is described, and an example application is presented. The proposed model is demonstrated to offer significant advantages as a resource-driven approach. Future extensions to the proposed model are then outlined.