Integrated Project Delivery (IPD) combined with Target Value Design (TVD) is a better way to deliver value for the client than traditional guaranteed maximum price (GMP) methods. With traditional GMP delivery methods, the interests of the parties are often at odds. The goal of IPD is to align all party interests in order to achieve a win-win scenario. Due to the aligning nature of IPD and the fact that each party’s success is dependent on achieving the project objectives as a whole; a non-biased, transparent, decision-making process is necessary in order to deliver the project objectives within the constraints of the TVD. Thus delivering the expected value for the client and ensuring that all parties achieve project success. The need for this transparent decision-making process is compounded by the fact that a “target” based system rapidly declines to a less than optimal state if there is no unbiased decision-making process in place. If we treat the entire lifespan of a project as the complex system that it is, we can begin to take advantage of the hierarchical nature of complex systems. The goal of this paper is to show that by modeling the life span of a project through a multi-criteria decision making model, built on a hierarchical framework will allow you to find a non-inferior solution to your TVD. I’m proposing to use Hierarchical Holographic Modeling (HHM) as the framework for an Analytical Hierarchical Process (AHP) multi-criteria decision-making model complete with post-optimality analysis as the preferred project management method.
| Identifer | oai:union.ndltd.org:CALPOLY/oai:digitalcommons.calpoly.edu:theses-2265 |
| Date | 01 June 2014 |
| Creators | Griffis, Brent Patrick |
| Publisher | DigitalCommons@CalPoly |
| Source Sets | California Polytechnic State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Master's Theses |
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