APPROACHES TO IMPLEMENT STATISTICAL PROCESS CONTROL FOR MANUFACTURING IN BIG DATA ERA

被引：0
|
作者：
Chang, Shing I. [1 ]
机构：
[1] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66506 USA
来源：
PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 3 | 2017年
关键词：
Statistical Process Control; Big Data; Control Chart; Parallel Computing; MapReduce; COORDINATE MEASURING MACHINES;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
It has been long overdue to revamp existing statistical process control (SPC) approaches in manufacturing since Water Shewhart first proposed the use of control charts in 1924. The combination development of big data, cloud computing, and manufacturing reshoring back to Untied States has opened up the opportunities to rethink implementation strategies of SPC for manufacturing. This paper first reviews the history of SPC development in traditional manufacturing environments and then contrasts it with the opportunities presented in big data era. Five SPC implementation approaches are proposed based on the opportunities identified.
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页数：7
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