Subcontractor Resource Management

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Specialist contractors – generally known as subcontractors – perform the majority of the work on commercial construction projects. They face significant challenges in allocating their resources across multiple, concurrent projects (O’Brien and Fischer 2000). Despite their central nature to project performance, relatively little research has been performed to formally model their operations. Without such modeling, there exists little basis from which to measure or improve performance. This dissertation attempts to address the limited literature by providing a formal, information model for subcontractor resource management. There are three main contributions: First, addition to the general literature on subcontractor management as a precursor to formal modeling. Second, an information model for subcontractor resource management. This model is expressed in UML (the Unified Modeling Language) and implemented in code. Third, as part of the information model, an extension to the Process Connectors architecture (Siddiqui et al 2008) to add resource constraints to distributed schedule coordination. Model development and validation is performed through case studies with subcontractors and general contractors. Collectively, the contributions of this research provide a practical basis for describing and representing subcontractor resources that can improve practice as well as provide a foundation for future prescriptive research.

1.1 Motivation: Subcontractor Multi-Project Resource Allocation

On construction projects, it is common that the majority of work is performed by subcontractors. Thus, understanding subcontractor’s issues, concerns and the ways how they coordinate with general contractors are vital. Existing literature, case st...

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...cation processes. The model is as generalizable as possible but maybe slightly unsuitable to all subcontractors because the nature of their business and business strategies.

This research aims to support descriptive modeling. The developed model as well as the implementation software represent resource constraints and support human decision makers. What-if analysis and the incorporation of local resource constraints are the specific focus of this research.

This research does not provide an optimization nor resource assignment algorithm. Optimization techniques to solve resource constraint problems have been argued computationally impractical for most real-life large projects because of the enormous number of variables and constraints (Abeyasinghe, Greenwood et al. 2001). Focus is placed on descriptive modeling that supports human directed scenario analysis.

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