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Abeid, J N (2000) Photo-net: An integrated system for controlling the progress of construction activities, Unpublished PhD Thesis, , Illinois Institute of Technology.
Al-Musallam, A A (2002) A web-based approach for coordinating architectural drawings with other construction documents, Unpublished PhD Thesis, , Illinois Institute of Technology.
Al-Sobiei, O S (2001) Assessment of risk allocation in construction projects, Unpublished PhD Thesis, , Illinois Institute of Technology.
Alavipour, S M (2017) Project scheduling using optimized financing, Unpublished PhD Thesis, , Illinois Institute of Technology.
Alkoud, A (2023) Investigating the impact of tall building ordinances (TBOs) on the evolution of ultra-tall buildings typology: Case studies in Chicago and Dubai, Unpublished PhD Thesis, , Illinois Institute of Technology.
Alothaimeen, I (2018) Multi-objective optimization for LEED: New construction using genetic algorithms, Unpublished PhD Thesis, , Illinois Institute of Technology.
Barbarosoglu, B V (2018) Early detection of maintainability issues in MEP systems using BIM, Unpublished PhD Thesis, , Illinois Institute of Technology.
Chotibhongs, R (2011) Managing the bidding process for the construction owner-detection and prevention of unbalanced bids and collusive bids, Unpublished PhD Thesis, , Illinois Institute of Technology.
Gunaydin, H M (1999) Impact of information technologies on project management functions, Unpublished PhD Thesis, , Illinois Institute of Technology.
Gunhan, S M (2003) Foreign market entry decision model for construction companies, Unpublished PhD Thesis, , Illinois Institute of Technology.
Hanioglu, M N (2014) Influence of owner-organization impression and contract framing on construction contractors' risk perceptions, Unpublished PhD Thesis, , Illinois Institute of Technology.
Ibrahim Mahmoud, M M (2005) An xml initiative of transferring architectural information to the construction site based on the BIM object concept, Unpublished PhD Thesis, , Illinois Institute of Technology.
Kale, S (1999) Competitive advantage in the construction industry: Firm-specific resources and strategy, Unpublished PhD Thesis, , Illinois Institute of Technology.
Kaplanoglu, S B (2007) Impact of pre-project peer review on project success, Unpublished PhD Thesis, , Illinois Institute of Technology.
Kleps, S M (2013) Impact of workflow disruptions, project characteristics and foremen characteristics on improvisational decisions and actions on construction sites, Unpublished PhD Thesis, , Illinois Institute of Technology.
Koksal, A (2002) Predicting the development of decline in construction companies, Unpublished PhD Thesis, , Illinois Institute of Technology.
Le, K T (2017) Material inventory control and management system in construction using GIS applications and a "hybrid" tracking system, Unpublished PhD Thesis, , Illinois Institute of Technology.
Lee, D-E (2004) Construction business automation system (CBAS), Unpublished PhD Thesis, , Illinois Institute of Technology.
Lee, S H (2010) Optimal highway investment decision-making under risk and uncertainty, Unpublished PhD Thesis, , Illinois Institute of Technology.
Ma, L (2022) A BIM-based life cycle assessment tool of embodied energy and environmental impacts of reinforced concrete tall buildings, Unpublished PhD Thesis, , Illinois Institute of Technology.
Mochtar, K (2000) Market-based pricing in construction, Unpublished PhD Thesis, , Illinois Institute of Technology.
Pandey, A R (2016) Heuristic decision-making model for electrical foremen when workflow is disrupted, Unpublished PhD Thesis, , Illinois Institute of Technology.
Pulket, T (2008) Universal prediction model for construction litigation, Unpublished PhD Thesis, , Illinois Institute of Technology.
Rashed, A (2022) Influence of internal factors in construction organizations on the implementation of integrated project delivery viewed from the organizational change theory, Unpublished PhD Thesis, , Illinois Institute of Technology.
Riad, N I (1990) MODA: An expert system for managing owner-directed acceleration, Unpublished PhD Thesis, , Illinois Institute of Technology.
Rujirayanyong, T (2004) Data warehousing for construction, Unpublished PhD Thesis, , Illinois Institute of Technology.
Saleh, E (2020) A risk-based approach in selecting design natural hazard loads for temporary structures, Unpublished PhD Thesis, , Illinois Institute of Technology.
Suh, K (1993) RUSS: A scheduling system for repetitive-unit construction using line-of-balance technology, Unpublished PhD Thesis, , Illinois Institute of Technology.
Tokdemir, O B (2003) ALISS: Advanced linear scheduling system, Unpublished PhD Thesis, , Illinois Institute of Technology.
Yang, J (2022) Integrated decision support system for the selection and implementation of delay analysis in construction projects, Unpublished PhD Thesis, , Illinois Institute of Technology.
- Type: Thesis
- Keywords: decision support; construction project; automation; integrated system; delay analysis; case study
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2676550012
- Abstract:
The goal of this study is to establish an objective, user-friendly, and reliable decision support system, called delay analysis selection and implementation system (DASIS), which allows delay analysts and practitioners in the construction industry to select a type of delay analysis that is most appropriate for given conditions and to perform the selected type of delay analysis. DASIS integrates a delay analysis selection system (DASS) module and an implementation module (DAIS) that performs the type of delay analysis selected by DASS in construction projects. The model that operates the DASS module consists of (1) four different delay analysis approaches currently available to practitioners; (2) a set of 26 attributes that affect the selection of a type of delay analysis; (3) a case-base involving 3,776 cases described by these 26 attributes and their corresponding output values (i.e. , the most appropriate delay analysis approach); (4) a set of 7 categories consisting of subsets of attributes; (5) the weights of the attributes and the categories; and (6) a spreadsheet designed in Microsoft Excel that performs the calculations involved in case-based similarity assessment. The implementation module is a computerized analytics and automation platform that performs the type of delay analysis selected by DASS. In developing the DASS module, 26 attributes that influence the selection of the most appropriate type of delay analysis were identified based on a thorough literature review and were organized in seven categories. These attributes were used to evaluate the four types of delay analysis (i.e. , static, dynamic, additive, and subtractive analyses). Based on the results of this evaluation, a case-base of 3,776 cases was generated while considering the constraints of each category. The weights of the attributes and categories were determined by using several methods. To determine the best-fit between a target case (defined by its 26 attributes) and the 3,776 cases stored in the case-base were used to perform a case-based similarity assessment to calculate weighted case similarity scores, and to find the best-informed solution to the delay analysis type selection problem. In developing the DAIS module, the four types of delay analysis were coded in Microsoft Excel using macros programmed in Visual Basic for Applications (VBA). This automated tool performs the selected delay analysis by DASS. The fully integrated DASIS model finds the best-fit match between a target case and cases stored in the case-base by means of similarity assessment methods by using weighted case similarity scores, hence identifying the most appropriate type of delay analysis for use in the target case, performs the selected type of delay analysis and generates a report about the results of the delay analysis to the analyst instantaneously, allowing the contractual parties to settle the issues quickly. This study is the first attempt to establish an objective decision support system (DASS) to assist delay analysts by automating the selection of a type of delay analysis using combinations of well recognized and reliable attributes and similarity assessment techniques. In addition, DASS is immediately followed by DAIS in an integrated system (DASIS) that does not only do the selection of the most appropriate type of delay analysis, but that also implements the selected delay analysis, hence providing ease of use and high speed. A case study based on fictitious scenarios is presented to demonstrate and validate the research approach. The use of the entropy weight method to calculate the weights of the attributes can be considered a minor limitation of the study. Finally, DASIS can be reformulated as a web-based application that allows analysts to work online using ordinary browsers anywhere and anytime.
Yasamis, F (1999) Contractor quality performance (CQP) evaluation model in pavement projects, Unpublished PhD Thesis, , Illinois Institute of Technology.
Zhang, C (2013) Automated progress control using laser scanning technology, Unpublished PhD Thesis, , Illinois Institute of Technology.
Zhou, B (2012) Optimal decision-making of interdependent transportation investment alternatives under risk and uncertainty, Unpublished PhD Thesis, , Illinois Institute of Technology.
Zhou, Q (2002) From CAD to IAD: An internet application of steel construction consulting for architects, Unpublished PhD Thesis, , Illinois Institute of Technology.