Journal ArticleDOI
Knowledge acquisition for decision support systems on an electronic assembly line
Sébastien Gebus,Kauko Leiviskä +1 more
TLDR
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 and focuses in particular on the efficient acquisition of shallow knowledge concerning everyday human interventions on the production lines.Abstract:
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.read more
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Excerpts from The Fifth Generation: artificial intelligence and Japan's computer challenge to the world
TL;DR: In this article, the authors explain the new knowledge technology and outline America's weak, almost nonexistent response to the Japanese challenge and the nations' plans for the fifth generation of computers which will enable them to establish and dominate a knowledge industry.
Journal ArticleDOI
Trends in expert system development
TL;DR: This research has painstakingly collected and analysed the content of 311 ES case studies dating from 1984 through 2016, helpful in identifying how ES research has evolved and areas for further research.
Journal ArticleDOI
A decision-focused knowledge management framework to support collaborative decision making for lean supply chain management
TL;DR: In this paper, a decision-focused knowledge framework for lean supply chain management is proposed, including a multi-layer knowledge model (to capture the know-why and know-with together with the know what and know how), a knowledge matrix for knowledge elicitation and a decision tree for the design of the knowledge base.
Model-based Computer Aided Framework for Design of Process Monitoring and Analysis Systems
TL;DR: In this article, a model-based computer-aided framework including the methods and tools through which the design of monitoring and analysis systems for product quality control can be generated, analyzed and/or validated, has been developed.
Journal ArticleDOI
Model-based computer-aided framework for design of process monitoring and analysis systems
TL;DR: A model-based computer-aided framework including the methods and tools through which the design of monitoring and analysis systems for product quality control can be generated, analyzed and/or validated has been developed.
References
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Book
The Tacit Dimension
TL;DR: The Tacit Dimension, originally published in 1967, argues that such tacit knowledge - tradition, inherited practices, implied values, and prejudgments - is a crucial part of scientific knowledge.
Book
Common Knowledge: How Companies Thrive by Sharing What They Know
TL;DR: Common Knowledge as discussed by the authors is an in-depth study of several organizations that are leading the field in successful knowledge transfer, including Ernst & Young, Bechtel, Ford, Chevron, British Petroleum, Texas Instruments, and the U.S. Army.
Book
Decision Support and Expert Systems: Management Support Systems
TL;DR: The reader will find expanded coverage of data warehousing, data mining, on-line analytical processes, and an entirely new chapter on intelligent agents in this fifth edition.
Book
Handbook of Data Mining and Knowledge Discovery
Willi Klösgen,Jan M. Zytkow +1 more
TL;DR: Part A: Data mining and knowledge discovery Part B: Fundamental Concepts Part C: The process of knowledge discovery in databases Part D: Discovery Systems Part E: Interdisciplinary links of KDD Part F: Business problems Part G: Industry sectors Part H: KDD in practice: case studies
Book
Excerpts from The Fifth Generation: artificial intelligence and Japan's computer challenge to the world
TL;DR: In this article, the authors explain the new knowledge technology and outline America's weak, almost nonexistent response to the Japanese challenge and the nations' plans for the fifth generation of computers which will enable them to establish and dominate a knowledge industry.