Please use this identifier to cite or link to this item: https://doi.org/10.1109/17.658662
Title: Prioritizing processes in initial implementation of statistical process control
Authors: Goh, T.N. 
Xie, M. 
Xie, W.
Keywords: Analytic hierarchy process
Process capability
Process priority
Statistical process control
Issue Date: 1998
Source: Goh, T.N., Xie, M., Xie, W. (1998). Prioritizing processes in initial implementation of statistical process control. IEEE Transactions on Engineering Management 45 (1) : 66-72. ScholarBank@NUS Repository. https://doi.org/10.1109/17.658662
Abstract: A production process composed of tens or even hundreds of subprocesses is a common phenomenon in industry. Each of the subprocesses contributes to various aspects of product quality. Ideally, a control chart can be set up on every subprocess to guarantee the quality of the final product. This is not practical, however, because of limited human and economic resources, and the management has to decide which subprocesses are to be given higher priorities. In this paper, for the purpose of prioritizing processes in complicated production systems for implementing statistical process control (SPC) schemes, preliminary selection based on statistical and technical criticality of processes is discussed. An analytic hierarchy process approach based on pair-wise comparisons between several factors in deciding the relative criticality of the processes in a hierarchy structure is then studied. The approach can be used in management decision making in planning for SPC implementation. A case study is presented to illustrate the methodology. © 1998 IEEE.
Source Title: IEEE Transactions on Engineering Management
URI: http://scholarbank.nus.edu.sg/handle/10635/63263
ISSN: 00189391
DOI: 10.1109/17.658662
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