Statistical process control for multistage manufacturing and service operations: a review and some extensions

Statistical process control for multistage manufacturing and service operations: a review and some extensions

0.00 Avg rating0 Votes
Article ID: iaor20097146
Country: United Kingdom
Volume: 3
Issue: 2
Start Page Number: 191
End Page Number: 204
Publication Date: Jul 2008
Journal: International Journal of Services Operations and Informatics
Authors: , ,
Abstract:

Manufacturing and service processes today usually involve more than one process stages and operations. With an emphasis on achieving satisfactory product and service quality, multistage processes surveillance and fault diagnosis has become a necessity. Statistical Process Control (SPC) methods have been widely recognised as effective approaches for process monitoring and diagnosis. However, most conventional SPC methods focus on single‐stage process without considering the multistage scenario. In this paper, we attempt to offer comprehensive references of statistical control methods for multistage manufacturing and service operations. Existing methods are compared and some future research topics are discussed.

Reviews

Required fields are marked *. Your email address will not be published.