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Abraham, D M (1990) A state-based framework using indicators for construction monitoring and evaluation, Unpublished PhD Thesis, , University of Maryland, College Park.
- Type: Thesis
- Keywords: construction systems; feedback; monitoring; performance; manufacturing; coordination; flexibility
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/303812322
- Abstract:
Control methods in construction have focused primarily at the management level, and most data collection methods for monitoring construction at the operational level in the field have been inadequate for in-process production evaluation. For effective control (i.e., monitoring, evaluation, replanning, and adjustment) of today's and tomorrow's sites, there is need for: (a) shorter time delay between the time of performance on site and the time when action can be taken to improve production, (b) a monitoring system adapted for the unique features in construction, (c) the flexibility to integrate automated real-time feedforward and feedback information, and (d) the ability to coordinate different levels of technology which coexist in the multi-agent construction system. The main purpose of this research is to identify and test a method for the monitoring and evaluation of construction production as an initial step toward total production control. Specific objectives are: (1) To analyze control requirements for multi-task, multi-agent, and customized product oriented construction systems. (2) To assess control structures used in domains such as business and manufacturing. (3) To propose, design, develop and validate a framework that has the flexibility required for the construction environment. (4) To extend and test monitoring techniques to match the framework and the characteristics of construction. The hierarchical approach was chosen as the control structure because of its similarity with the traditional organization of construction functions and also due to its reported success in other domains. A conceptual framework using the state-based approach in coordination with feedback was developed for construction monitoring and evaluation using indicators. The essence of this approach involves analysis of production at discrete times (i.e., when changes occur), rather than on a continuous basis. Indicators measure the status of selected variables and relate them to the output when the output of the system cannot be directly assessed. This research demonstrated that the state-based framework using indicators is a sound concept for the production monitoring and evaluation in construction, and a flexible structure for use as a link in computer integrated construction.
Ahrari, A (2012) A decision support system for dynamic integrated project scheduling and equipment operation planning, Unpublished PhD Thesis, , University of Maryland, College Park.
Akar, G (2009) Analysis of activity choice: The role of activity attributes and individual schedules, Unpublished PhD Thesis, , University of Maryland, College Park.
Al-Fadhala, M M (2002) Uncertainty-based condition assessment of existing concrete structures, Unpublished PhD Thesis, , University of Maryland, College Park.
Al-Wazeer, A A-R (2007) Risk-based bridge maintenance strategies, Unpublished PhD Thesis, , University of Maryland, College Park.
Avetisyan, H G (2013) Sustainable infrastructure modeling and policy analyses: Construction, energy and transportation industries, Unpublished PhD Thesis, , University of Maryland, College Park.
Bai, L (2013) RFID sensor-driven structural condition monitoring in integrated building information modeling environment, Unpublished PhD Thesis, , University of Maryland, College Park.
Bender, W J (2000) A risk-based cost control methodology for constructing complex structures with the mobile offshore base as a case study, Unpublished PhD Thesis, , University of Maryland, College Park.
Chelson, D E (2010) The effects of building information modeling on construction site productivity, Unpublished PhD Thesis, , University of Maryland, College Park.
Chen, C-H (2003) Integrated management of highway maintenance and traffic, Unpublished PhD Thesis, , University of Maryland, College Park.
Cheung, M (2017) The antecedents of safety leadership, Unpublished PhD Thesis, , University of Maryland, College Park.
Chung, B (2007) An analysis of success and failure factors for ERP systems in engineering and construction firms, Unpublished PhD Thesis, , University of Maryland, College Park.
Ding, Q (2018) Using social media to evaluate public acceptance of infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Eldukair, Z A R (1988) Safety assessment and optimization of construction operations based on fuzzy sets, Unpublished PhD Thesis, , University of Maryland, College Park.
Erfani, A (2023) Data-driven risk modeling for infrastructure projects using artificial intelligence techniques, Unpublished PhD Thesis, , University of Maryland, College Park.
Hao, J X (2007) Infrastructure investment and economic development, Unpublished PhD Thesis, , University of Maryland, College Park.
Hickey, P J (2023) A study of gender diversity in u.S. Architecture, engineering, and construction (AEC) industry leadership, Unpublished PhD Thesis, , University of Maryland, College Park.
Hsu, S-C (2013) A complexity-based approach to intra-organizational team selection, Unpublished PhD Thesis, , University of Maryland, College Park.
Hu, M (2022) Influence of project design team characteristics on construction cost of sustainable buildings, Unpublished PhD Thesis, , University of Maryland, College Park.
Ingraham, A T (2001) Bidder-auctioneer cheating in sealed-bid auctions, Unpublished PhD Thesis, , University of Maryland, College Park.
Jang, W S (2007) Embedded system for construction material tracking using combination of radio frequency and ultrasound signal, Unpublished PhD Thesis, , University of Maryland, College Park.
Karimi, S (2021) A systematic methodology for evaluating and balancing acceptance risks with pay factors for highway construction materials, Unpublished PhD Thesis, , University of Maryland, College Park.
Lessani, A (2016) Decision analysis in construction claims, Unpublished PhD Thesis, , University of Maryland, College Park.
Lu, R (2010) Impacts of local item dependence of testlet items with the multistage tests for pass-fail decisions, Unpublished PhD Thesis, , University of Maryland, College Park.
McCahill, D F (1990) A practical model for simulation of earthwork construction, with applications for scheduling, Unpublished PhD Thesis, , University of Maryland, College Park.
Mohieldin, Y A (1989) Analysis of construction processes with nonstationary work task durations, Unpublished PhD Thesis, , University of Maryland, College Park.
Moore, W B (1989) Modeling the impact of large construction projects on surrounding communities, Unpublished PhD Thesis, , University of Maryland, College Park.
Neely, L E (2017) Project scheduling disputes: Expert characterization and estimate aggregation, Unpublished PhD Thesis, , University of Maryland, College Park.
Negahban, S (2008) Utilization of enterprise resource planning tools by small to medium size construction organizations: A decision-making model, Unpublished PhD Thesis, , University of Maryland, College Park.
Nyakaana Blair, A M A (1999) Risk analysis of cost and schedule of complex engineering systems, Unpublished PhD Thesis, , University of Maryland, College Park.
Ordonez Arizaga, J F (2007) A methodology for project risk analysis using Bayesian belief networks within a Monte Carlo simulation environment, Unpublished PhD Thesis, , University of Maryland, College Park.
Owoyemi, J A (2018) Performance evaluation of higway transportation design-build project delivery: A case study, Unpublished PhD Thesis, , University of Maryland, College Park.
Parvan, K (2012) Estimating the impact of building information modeling (BIM) utilization on building project performance, Unpublished PhD Thesis, , University of Maryland, College Park.
Quadri, H A (2019) Value engineering decisioneering: A risk management tool in the project management office- case study of electricity distribution companies in Nigeria, Unpublished PhD Thesis, , University of Maryland, College Park.
Salgado, C A (2005) Construction project organizational structuring, Unpublished PhD Thesis, , University of Maryland, College Park.
Shafahi, A (2016) Mathematical model and framework for multi-phase project optimization, Unpublished PhD Thesis, , University of Maryland, College Park.
Sharma, D K (2012) Design of availabilty payment mechanism for public private partnerships, Unpublished PhD Thesis, , University of Maryland, College Park.
Sundararajan, S K (2004) Project performance-based optimal capital structure for privately financed infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Tatari, M O (2009) Empirical analysis of construction enterprise information systems: Assessing the critical factors and benefits, Unpublished PhD Thesis, , University of Maryland, College Park.
Vecino, G A (2016) The feasibility of using web-based technology for the management of dredging projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Yang, N (2010) Optimization of highway work zone decisions considering short-term and long-term impacts, Unpublished PhD Thesis, , University of Maryland, College Park.
Zeng, Y (2010) Risk management for enterprise resource planning system implementations in project-based firms, Unpublished PhD Thesis, , University of Maryland, College Park.
Zhao, Y (2023) Sustainability, acceptance risk analysis and machine learning in assessing mechanical properties and the impact of highway materials in transportation infrastructure, Unpublished PhD Thesis, , University of Maryland, College Park.