Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 15 results ...
Almazkoor, F B (2014) Two-stage methodology for managing and controlling material flow between multiple construction projects, Unpublished PhD Thesis, , Clemson University.
Altayeb, S A (1990) Drug testing and its impact on the incident rate in the construction industry, Unpublished PhD Thesis, , Clemson University.
Back, W E (1994) Quantifying benefits of electronic technology applied to bulk materials management, Unpublished PhD Thesis, , Clemson University.
- Type: Thesis
- Keywords: complexity; duration; partnership; automation; data management; electronic data interchange; information management; innovation; integration; materials management; productivity; supplier; organizational change; simulation; quantitative analysis
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304100411
- Abstract:
There is a need within the industrial construction industry to comprehensively evaluate emerging technologies for electronic information management to determine their potential for enhancing the business processes defining the materials management functions. Establishing and maintaining a strategic advantage in a globally competitive business environment requires focus on technologies which facilitate work flow automation and process reengineering. Corporate implementation of electronic data management technologies such as integrated data bases, electronic data interchange, and bar coding should result in an improved materials management process characterized by higher levels of productivity, fewer processing errors, compressed durations and cycle times, and the formation of strategic customer-supplier partnerships. Effective implementation of these electronic data management technologies requires a strategic, innovative and cooperative approach to electronic document management and customer-supplier relationships. This frequently results in significant modifications to traditional industry procedures for materials management. To date, a methodology for quantitative analysis of time and cost benefits attributable to electronic data management technologies has been difficult to structure due to the complexity of predicting the subsequent organizational changes. Additionally, implementation of technologies such as these will impact work task durations and resource requirements. Without a technique for accurate quantitative prediction of technology benefits, cost justification of electronic data management innovation is considered for concurrent implementation. This research develops a methodology for quantifying the time and cost benefits attributable to implementation of electronic data management technologies applied to the materials management process. Data directly provided from leading engineering/construction companies are incorporated into four generalized materials management process models, each representing a distinct level of corporate information integration. By using a process of computer simulation, it is possible to quantitatively determine and measure the time and cost impacts of technology implementation. The research shows that the process benefits attributable to electronic data management are significant. Total reduction in cycle time for materials management was equivalent to 85% when electronic technologies were fully exploited to effect work flow automation and process reengineering. Similarly, process cost was reduced by 75%.
Carpenter, N (2014) Comparison of the design-bid-build and construction manager at risk project delivery methods utilized for the construction of public schools, Unpublished PhD Thesis, , Clemson University.
Cole, B K (2012) Building social infrastructure through public-private partnerships: The case of student housing in public higher education, Unpublished PhD Thesis, , Clemson University.
George, R (2007) Information flow to support front end planning, Unpublished PhD Thesis, , Clemson University.
Howard, W E (1996) Innovative strategies for compensation of engineering and construction contractors, Unpublished PhD Thesis, , Clemson University.
Jonnalagadda, S (2016) Artificial neural networks, non linear auto regression networks (NARX) and causal loop diagram approaches for modelling bridge infrastructure conditions, Unpublished PhD Thesis, , Clemson University.
Nikyema, G A B (2020) Barriers to the adoption of green building materials and technologies in developing countries: The case of Burkina Faso, Unpublished PhD Thesis, , Clemson University.
Plumblee, J M, II (2013) Incorporating natural hazard resistance into the life cycle assessment framework, Unpublished PhD Thesis, , Clemson University.
Prince, J R (2004) Evaluating the impact of onsite design on project performance, Unpublished PhD Thesis, , Clemson University.
Rockow, Z R (2020) Qualitative & quantitative analyses of existing buildings’ adaptability, Unpublished PhD Thesis, , Clemson University.
Shealy, E W, III (2015) Decision environments to encourage more sustainable infrastructure outcomes, Unpublished PhD Thesis, , Clemson University.
Skipper, C O (2004) An analysis of leadership behaviors in the construction industry: Identification of influences that develop top performing project managers and engineers, Unpublished PhD Thesis, , Clemson University.
Valdes-Vasquez, R (2011) Social sustainability considerations during planning and design: A framework of processes for construction projects, Unpublished PhD Thesis, , Clemson University.