文档介绍：Chapter
3
Six Sigma and Manufacturing
Control Systems
Six sigma originally gained acceptance as a measure of product de-
sign for manufacturing (DFM), especially in the process-intensive in-
dustries such as integrated circuit (IC) and printed circuit board
(PCB) fabrication and assembly. Today, it has e as widely ac-
cepted as the traditional measure of quality in manufacturing control
systems such as statistical process control (SPC) and total quality
management (TQM). Its unique blend of production variability versus
design specifications makes it a natural method for setting, communi-
cating, paring new product specifications and manufacturing
quality levels petitive manufacturing plants.
By focusing on six sigma, there is mitment up front to meas-
uring and controlling manufacturing variability through statistical
process control (SPC) tools and methods such as control charts. In ad-
dition, it is an excellent tool for negotiating municating with
suppliers to set the appropriate quality level and expectations.
Six sigma focuses munication between the design, develop-
ment, and manufacturing parts of anization. By managing the
relationship of design tolerance to manufacturing specifications, it
shifts attention away from a possible adversarial relationship be-
tween design and manufacturing to a more constructive one, where
mon goal of achieving a particular quality level facilitates ne-
gotiations and cooperation in new product development.
In this chapter, the relationship between six sigma the early tradi-
tions of TQM and SPC will be explored, in the following topics:
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70 Six Sigma for Electronics Design and Manufacturing
1. Manufacturing variability measurement and control (Section ).
Statistical process control (SPC) is the key to maintaining and im-
proving the manufacturing process variability. The tools for SPC
are presented, with emphasis on control charts and their proper
use in the manufacturing env