Title :
Software Design for Quality-oriented Statistical Tolerance and SPC
Author :
Zhang, Yu ; Hou, Lidan
Author_Institution :
Sch. of Mech. Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
The software has been designed specially for concurrent application of the statistical tolerance (ST) and the statistical process control (SPC). The software system includes the two function modules for data, i.e. the data acquisition module with data collection and input, and data processing module with data storage and management, statistical analysis and control charts drawing. The system provides a set of functional modules for realizing three tasks: ST and SPC design, drawing control charts and verifying for assuring the designated process quality indices (PQIs) that representing required process quality. Some considerations for the software design are discussed and the mathematical modeling for ST and PQIs are given. The main steps for ST and PQI verification with the controlled process data are also introduced. The software of quality-oriented ST and SPC has been tested for its computing accuracy and precise. It provides an efficiency tool for ST and SPC parameter design and a convenient communication platform for product designers, manufacture engineers and quality engineers.
Keywords :
data acquisition; software quality; statistical analysis; statistical process control; PQI verification; control charts; data acquisition module; data collection; data management; data processing module; data storage; process quality indices; quality oriented statistical tolerance; software design; statistical process control; Application software; Control charts; Data acquisition; Data processing; Design engineering; Memory; Process control; Software design; Software systems; Statistical analysis; software design; statistical process control; statistical tolerance; visual basic 6.0;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.216