Common Knowledge: How Companies Thrive by Sharing What They Know
Common Knowledge: How Companies Thrive by Sharing What They Know
Decision Support and Expert Systems: Management Support Systems
Decision Support and Expert Systems: Management Support Systems
Knowledge Acquisition and Interface Design
IEEE Software
Knowledge Conceptualization Tool
IEEE Transactions on Knowledge and Data Engineering
Interview-Based Knowledge Acquisition Using Dynamic Analysis
IEEE Expert: Intelligent Systems and Their Applications
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System
IEEE Transactions on Knowledge and Data Engineering
A Systematic Approach to Support the Idea Generation Phase of the User Interface Design Process
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
A machine learning approach to error detection and recovery in assembly
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
A knowledge-based decision support system for the management of parts and tools in FMS
Decision Support Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The application of systematic knowledge analysis for improved door structure designs
Expert Systems with Applications: An International Journal
Implementing a data mining solution for enhancing carpet manufacturing productivity
Knowledge-Based Systems
Review: Computational intelligence in mass soldering of electronics - A survey
Expert Systems with Applications: An International Journal
A fuzzy-rough sets based compact rule induction method for classifying hybrid data
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Usability evaluation guidelines for business intelligence applications
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
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Increasing global competition has made many manufacturing companies recognize that competitive manufacturing in terms of low cost and high quality is crucial for success. Real-time process control and production optimization are, however, extremely challenging areas because manufacturing processes are getting ever more complex and involve many different parameters. This is a major problem when building decision support systems especially in electronics manufacturing. Although problem-solving is a knowledge intensive activity undertaken by people on the production floor, it is quite common to have large databases and run blindly feature extraction and data mining methods. Performance of these methods could, however, be drastically increased when combined with knowledge or expertise of the process. This paper describes how defect-related knowledge on an electronic assembly line can be integrated in the decision making process at an operational and organizational level. It focuses in particular on the efficient acquisition of shallow knowledge concerning everyday human interventions on the production lines, as well as on the factory-wide sharing of the resulting information for an improved defect management. Software with dedicated interfaces has been developed using a knowledge representation that supports portability and flexibility of the system. Semi-automatic knowledge acquisition from the production floor and generation of comprehensive reports for the quality department resulted in an improvement of the usability, usage, and usefulness of the decision support system.