scholarly journals Case—ABCtronics: Manufacturing, Quality Control, and Client Interfaces

2016 ◽  
Vol 17 (1) ◽  
pp. 26-33
Author(s):  
Arnab Adhikari ◽  
Indranil Biswas ◽  
Arnab Bisi
Keyword(s):  
Quality Control ◽  
Manufacturing Quality

scholarly journals A study of overfitting in optimization of a manufacturing quality control procedure

2017 ◽  
Vol 59 ◽  
pp. 77-87 ◽  
Author(s):  
Tea Tušar ◽  
Klemen Gantar ◽  
Valentin Koblar ◽  
Bernard Ženko ◽  
Bogdan Filipič
Keyword(s):  
Quality Control ◽  
Control Procedure ◽  
Manufacturing Quality ◽  
Quality Control Procedure

Teamwork and Statistical Quality Control at Owens-Corning Fiberglas Corporation

MRS Bulletin ◽  
1992 ◽  
Vol 17 (4) ◽  
pp. 50-52
Author(s):  
Manoj K. Choudhary
Keyword(s):  
United States ◽  
Quality Control ◽  
Social Organization ◽  
Team Building ◽  
The United States ◽  
Statistical Quality Control ◽  
Statistical Techniques ◽  
Manufacturing Environment ◽  
Statistical Quality ◽  
Manufacturing Quality

The terms “teamwork” and “statistical quality control” (SQC) have become an established part of U.S. manufacturing vocabulary, though not necessarily of manufacturing practice. Much has been written on these subjects, as even a cursory glance at the literature reveals (e.g., see References 1–11). This article will describe the organization and functioning of an SQC team at Owens-Corning Fiberglas Corporation. My observations are not necessarily novel, but I hope they provide some useful insights into team building, teamwork, and SQC in a U.S. manufacturing environment.SQC is not a new concept at all, but it was largely ignored in the United States. The contribution of SQC (more accurately, Deming's and Juran's SQC precepts) to Japanese manufacturing quality has by now become a matter of folklore. This does not mean, however, that the SQC “philosophy” is correctly understood by U.S. companies. SQC is often viewed too narrowly as a production tool, or S and C in SQC are given undue attention. SQC is much more than a collection of statistical techniques. Indeed, the major impact of SQC results not from its engineering or technical attributes but from the changes it brings about in attitudes and in a factory's social organization. Drucker has identified SQC as one of the four concepts in the emerging theory of manufacturing.

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