Using Statistical Process Control to Control and Monitor Project Performance
碩士 === 大葉大學 === 事業經營研究所 === 96 === Project management is applied in new product development and engineering indus-tries widely. How to manage and monitor the project effectively in progress which is the project manager concerns about all the time. The earned value management (EVM) is widely used in...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/33728629786278986395 |
| Summary: | 碩士 === 大葉大學 === 事業經營研究所 === 96 === Project management is applied in new product development and engineering indus-tries widely. How to manage and monitor the project effectively in progress which is the project manager concerns about all the time. The earned value management (EVM) is widely used in the estimation of project performance and the monitoring system. While the schedule Performance index (SPI) can not reflect the real circumstance in the later phase of execution of the project. So we use SPI(t) to improve the deficiency above-mentioned. To master and monitor the performance during the execution phase of the project, we use statistical process control (SPC) and control charts to monitor the data of schedule progress to improve the quality of project. We use several cases to cal-culate the project performance and apply SPC to compare the difference between SPI and SPI(t). And discuss which kind of control charts is the most adaptive in monitoring the performance of project. It is helpful to administer a perestroika in monitoring an managing project performance for project managers.
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