A framework for failure recovery of automated manufacturing cell components

Young Bai Moon, Purdue University

Abstract

The maturity level of an automated manufacturing system can be measured by the failure recovery capability of the system. This research addresses the unique characteristics of failure recovery problems in manufacturing cells, suggests a framework to cope with the problems, and presents necessary recovery strategies. Opportunistic and incremental problem solving concepts of a blackboard architecture are adopted for building the framework. A cause-based strategy has been developed. The strategy uses both heuristic knowledge and historical information to resolve the causes of failures in diverse situations. A multiple-document strategy has also been devised for certain failure recovery where specific instructions are provided. Two examples of tool breakage and machining center malfunctions are presented to illustrate the concepts of the above mentioned framework and strategies. A prototype software has been implemented in object-oriented language, Smalltalk-80 for this purpose.

Degree

Ph.D.

Advisors

Moodie, Purdue University.

Subject Area

Industrial engineering

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