Fuzzy logic based assignable cause diagnosis using control chart patterns

Authors:
Kudret Demirli;Sujikumar Vijayakumar
Affiliations:
Fuzzy Systems Research Lab, Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve Blvd W., Montreal, QC, Canada H3G 1M8;Fuzzy Systems Research Lab, Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve Blvd W., Montreal, QC, Canada H3G 1M8
Venue:
Information Sciences: an International Journal
Year:
2010

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Abstract

Control chart patterns, besides determining the presence of assignable causes, also provide hints on the nature of assignable cause(s) present. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this work, a rule based fuzzy inference system is developed for X@? control chart to prioritize the control chart causes based on the accumulated evidence. When a process goes out of control, search for assignable causes can be assisted by the priorities assigned to the causes. For an in-control process, developing patterns can be tracked and preventive action can be taken to prevent the process from going out of control.