By Topic

Implementation of best known methods

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

As the investment required to purchase equipment for a semiconductor manufacturing line continues to increase, so does the importance of improving the utilization of this equipment. At the same time, the semiconductor market requires shorter cycle times. Traditionally, the capacity detractors that receive the most focus are tool related, but if manufacturing availability/serviceability does not keep pace with the tool availability, then no productivity gains can be realized. The capacity loss associated with staffing is the result of two general problems-loss resulting from deficient staffing levels and loss resulting from deficient operational methodology. However, the problem of determining optimal staffing levels is difficult without optimal operational methodologies in place. As a result, the first step in addressing manufacturing availability issues should be to determine and implement the best-known methods, or BKM. This paper presents a case study in the technique of using fab performance data to: 1) identify BKM; 2) implement and monitor change; and 3) measure improvement

Published in:

Advanced Semiconductor Manufacturing Conference and Workshop, 2000 IEEE/SEMI

Date of Conference: