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

Authors: Fugee Tsung, Yanting Li, Ming Jin

Addresses: Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong. ' Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong. ' Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong

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.

Keywords: multistage manufacturing processes; multistage service industry; statistical process control; SPC; state space models.

DOI: 10.1504/IJSOI.2008.019333

International Journal of Services Operations and Informatics, 2008 Vol.3 No.2, pp.191-204

Available online: 07 Jul 2008 *

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