Nowadays, facing the severe pressure of globalization and strong demand of high products quality from customers, enterprises in Taiwan are forced to enhance the quality and yield rate of manufactured products in order to gain their competitive edges. An enterprise usually relies on the statistical process control (SPC) software system to achieve this goal. The SPC approach measures, understands, and controls the variation of the products manufacturing process.
This study uses the structure-behavior coalescence architecture description language (SBC-ADL) to construct the architecture-oriented statistical process control model (AOSPCM). A model constructed by the SBC-ADL differs from others software model in its using six golden rules which help integrate the structure and behavior of a software system.
AOSPCM constructed in this study improved substantially both training and communication endeavors within an enterprise, reduced costs due to estimation errors, requirement uncertainties, and project delays. Overall, AOSPCM benefits a great deal to both developers and users of a software project.
In general, most manufacturing and high-tech industries rely heavily on the SPC software system. Therefore, AOSPCM constructed in this study provides a standard model for other software developers to follow. Following the AOSPCM, any SPC software developer shall improve lots of development efforts and cost savings within an enterprise.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0612112-011610 |
| Date | 12 June 2012 |
| Creators | Shih, Chao-Hong |
| Contributors | William S. Chao, Royal Lee, Te-Min Chang, Yi-Jen Chuang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612112-011610 |
| Rights | unrestricted, Copyright information available at source archive |
Page generated in 0.0025 seconds