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Abbiasov, T (2021) Essays in Urban Economics, Unpublished PhD Thesis, , Columbia University.
Asgari, S (2016) Modeling construction competitive bidding: An agent-based approach, Unpublished PhD Thesis, , Columbia University.
Chang, H-H (2002) N-dimensional construction management information system (NDCON): System design and performance modeling through the zero -buffered project management philosophy, Unpublished PhD Thesis, , Columbia University.
- Type: Thesis
- Keywords: accuracy; effectiveness; construction phase; information system; information technology; integration; management information system; quantification
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304791150
- Abstract:
Despite recent advances in Information Technology (IT) within the Architectural/Engineering/Construction (A/E/C) industry, the improvement of project processes is still limited due to the complex nature of the industry, thus the benefits and impacts of IT remain questionable. For the purposes of improving the effectiveness of IT, this thesis develops the zero-buffered project management philosophy to provide a basis for: (a) understanding the problem of current project processes; (b) identifying a design-construction integration strategy and (c) providing an approach to model project process performance. The goal of the research is twofold. First is to design a fully integrated project management information system, termed NDCON, which reduces information-transfer buffers and allows project participants to visualize real-time project sequences and information simultaneously, and second is to develop a methodology to measure the potential impacts of implementing NDCON. By analyzing attributes in design and construction phases as well as their inter-relationships, the quantity of a geometric object is identified as the integration indicator that is the element commonly shared among the project management dimensions of design, cost, schedule, procurement and accounting. This integration indicator is then employed as a means for structuring the database embedded in the NDCON system, which allows the system to reflect design changes and to convert altered design information into corresponding construction information dynamically. The analysis of the characteristics of the project process led to the recognition that this process exhibits Markovian properties. This formed the basis of modeling the A/E/C project process as a Continuous-Time Markov Chain, and ultimately the quantification of the potential benefits of NDCON. The research indicates that the information-transfer buffers in the NDCON project process are significantly reduced and potentially reach zero, thus the zero-buffered project process. Consequently, one of the possible benefits of NDCON is an improvement in the accuracy of corporate financial decision-making. The work presented is a key step toward integrating the industry's design-construction process that remains segmented and highly information-buffered.
Chen, S-M (2002) Intelligent scheduling model and multi-dimensional CM information system, Unpublished PhD Thesis, , Columbia University.
Chiara, N (2006) Real option methods for improving economic risk management in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Fitch, G J (2019) System dynamics models for the valuation of real options in infrastructure investments, Unpublished PhD Thesis, , Columbia University.
Gerstenberger, A J (2021) Modeling the likelihood of construction incidents using public data, Unpublished PhD Thesis, , Teachers College, Columbia University.
Gocmen, F C (2014) Infrastructure scaling and pricing, Unpublished PhD Thesis, , Columbia University.
He, Y (2006) Earthquake loss and risk estimation of buildings by Monte Carlo simulation, Unpublished PhD Thesis, , Columbia University.
Hogan, D B (1998) Modeling construction cost performance: A comprehensive approach using statistical, artificial neural network and simulation methods, Unpublished PhD Thesis, , Columbia University.
Kokkaew, N (2010) Risk flexibility analysis in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Li, W (1995) Benefit and cost analysis: Three-dimensional computer models with integrated databases in the management of construction, Unpublished PhD Thesis, , Columbia University.
Lu, Z (2018) Feasibility assessment framework for financing public-private partnership infrastructure projects through asset-backed security, Unpublished PhD Thesis, , Columbia University.
Silver, M L (1981) Craft production: Work and alienation in the construction industry, Unpublished PhD Thesis, , Columbia University.
Song, X (2013) The application of insurance as a risk management tool for alternative dispute resolution (ADR) implementation in construction disputes, Unpublished PhD Thesis, , Columbia University.
Sturts, C S (2001) Value-bidding: An integrative approach utilizing conjoint analysis and classical bidding theory, Unpublished PhD Thesis, , Columbia University.
Subsomboon, K (2004) A procurement and material management (PMM) system based on the fully integrated and automated project process (FIAPP), Unpublished PhD Thesis, , Columbia University.
Sun, W (2023) A self-localized smart hardhat system for construction 4.0, Unpublished PhD Thesis, , Columbia University.
Tavakolan, M (2011) Development of construction projects scheduling with evolutionary algorithms, Unpublished PhD Thesis, , Columbia University.
Teferra, K (2012) Developments in the theory and applications of the variability response function concept, Unpublished PhD Thesis, , Columbia University.
Ucbenli, C (2010) A bargaining mechanism with incomplete information and its application in trilateral BOT negotiations, Unpublished PhD Thesis, , Columbia University.
Unsal, H I (2010) Modeling the hold-up problem and absorptive capacity of project networks, Unpublished PhD Thesis, , Columbia University.
Wang, W (2010) Multivariate stochastic copula-based deterioration models in infrastructure economic risk management, Unpublished PhD Thesis, , Columbia University.