By Topic

The Study of Quality Costs Optimization Based on Particle Swarm Optimization Algorithm and Strategic Coordination

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

2 Author(s)
Zhengyuan Jia ; Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China ; Lihua Gong

The optimization of the quality costs is the important content of quality management. In this paper, we studied the relationship between the quality level and the quality costs, and we found that the traditional curve of quality costs only concerned about the relationship of the internal factors of quality costs, and neglected the external factors of the quality costs which decide the entire costs of quality. We had proposed a framework for addressing the optimal COQ (cost of quality) within the context of strategic coordination. And then we developed the quality costs model based on strategic coordination. We described an operation mechanism about how the strategic objective decides quality costs through intermediate variable`customer satisfaction'. Besides we developed a new mathematics model of quality costs optimization, and adopted the PSO (particle swarm optimization) algorithm to get the solution. The example showed that the method is rational and effective.

Published in:

Natural Computation, 2009. ICNC '09. Fifth International Conference on  (Volume:1 )

Date of Conference:

14-16 Aug. 2009