Project manufacturing is a production manufacturing mode that develops and produces large and complex systems that is supplemented by project management techniques for planning and execution. Project manufacturing is better understood by examining it along with three other key areas: manufacturing, project management, and team management. Critical success factors for each of these areas have been examined in the literature but have not been examined in a real world setting in the aerospace and defense industry. This research examines the association between perspectives of project teams and senior management on critical success factors along the four identified dimensions of success in the literature: efficiency, impact on consumer, impact on team, and preparation for the future. These associations are evaluated using Spearman rank correlation method that utilizes survey data obtained from ten project manufacturing teams at an aerospace and defense company along the identified four dimensions of success stated. This research also utilizes regression method to identify significant predictors of overall project success in the aerospace and defense industry for project manufacturing teams. The main focus of this research was achieved by surveying project team members to indicate their level of agreement with the identification of critical success factors. Performance scores for each dimension of success were also gathered from senior management in order to conduct the appropriate statistical analysis of the two sets of paired scores. This research demonstrates that there are both considerable agreements and disagreements between project team members and senior management on project success on different factors. This research also provides some recommendations to bridge the gap between these two groups.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-1535 |
| Date | 01 January 2021 |
| Creators | Nizam, Anisulrahman |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
Page generated in 0.0023 seconds