Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15069
Title: A framework of computer-aided short-run SPC planning
Authors: ZHU YADA
Keywords: Statistical process control, Small-batch manufacturing, Group technology, Part family formation, Classification and coding, Analysis of variance
Issue Date: 14-Feb-2006
Source: ZHU YADA (2006-02-14). A framework of computer-aided short-run SPC planning. ScholarBank@NUS Repository.
Abstract: The application of SPC can be divided into two phases: planning and implementation. For short-runs, the planning phase is the bottleneck, which entails the formation of part families and determines corresponding data collection requirements. To ensure the homogeneity of the part family members, statistical design of experiment and analysis of variance are applied. To simply the statistical analysis and reduce the experimental runs, extensive preliminary analyses based on the process factor properties and application are proposed to be applied first. The end milling process is used to illustrate the proposed method, and data collected from industry is used to demonstrate the statistical analysis. To improve the efficiency of SPC planning and the adaptation of computer-integrated manufacturing, a framework of computer-aided short-run SPC planning system using group technology classification and coding concept is proposed.
URI: http://scholarbank.nus.edu.sg/handle/10635/15069
Appears in Collections:Master's Theses (Open)

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