An empirical investigation of learning curve composition laws for quality improvement in complex manufacturing plants
Journal of Manufacturing Technology Management
ISSN: 1741-038X
Article publication date: 1 October 2004
Abstract
Learning behaviors related to quality improvement in manufacturing systems (i.e. reduction of defectiveness over production cycles) are widely investigated. Many different approaches have been introduced to describe the link between the learning mechanism and quality performance of a plant. In a previous study by the same authors, a set of learning “composition laws” for two basic structures were defined to provide a tool to forecast the behavior of complex manufacturing systems composed by a network of elementary processes. This paper presents an empirical investigation about these learning composition laws on a real case in the field of automotive exhaust‐systems manufacturing.
Keywords
Citation
Franceschini, F. and Galetto, M. (2004), "An empirical investigation of learning curve composition laws for quality improvement in complex manufacturing plants", Journal of Manufacturing Technology Management, Vol. 15 No. 7, pp. 687-699. https://doi.org/10.1108/17410380410555925
Publisher
:Emerald Group Publishing Limited
Copyright © 2004, Emerald Group Publishing Limited