CIRP Encyclopedia of Production Engineering

2014 Edition
| Editors: The International Academy for Production Engineering, Luc Laperrière, Gunther Reinhart

Knowledge-Based System

Reference work entry
DOI: https://doi.org/10.1007/978-3-642-20617-7_6557

Synonyms

Definition

Knowledge-based systems (KBSs) are computer programs embodying knowledge about a narrow domain for solving problems related to that domain (Teti and Kumara 1997).

Theory and Application

Introduction

The first knowledge-based systems (KBSs) appeared in the 1970s, and because they contained high-level, domain-specific knowledge elicited from human experts, they were called expert systems (ESs). Today, the terms KBS and ES are often used synonymously, the only distinction being the context in which the terms are utilized.

The ESs exist in many forms, from medical diagnosis to investment analysis and from counseling to production control. Due to the advances of the last decade, today’s ESs users can choose from dozens of commercial software packages. At present, we accept as routine such ESs as weather forecasting, online mapping and driving directions, and diagnostic systems for automotive repair shops.

Many large corporations...

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References

  1. Mäntylä M (1993) Representation of process planning knowledge for part families. CIRP Ann Manuf Technol 42(1):561–564CrossRefGoogle Scholar
  2. Pham DT, Pham PTN (2000) Computational intelligence for manufacturing. Chapter 1. In: Jun W (ed) Computational intelligence in manufacturing handbook. CRC, Boca RatonGoogle Scholar
  3. Teti R, Kumara SRT (1997) Intelligent computing methods for manufacturing systems, STC-O KN Paper. CIRP Ann Manuf Technol 46(2):629–52CrossRefGoogle Scholar
  4. Tönshoff HK, Menzel E, Park HS (1992) A knowledge-based system for automated assembly planning. CIRP Ann Manuf Technol 41(1):19–24CrossRefGoogle Scholar
  5. Valente A, Carpanzano E, Nassehi A, Newman ST (2010) A STEP compliant knowledge based schema to support shop-floor adaptive automation in dynamic manufacturing environments. CIRP Ann Manuf Technol 59(1):441–444CrossRefGoogle Scholar

Copyright information

© CIRP 2014

Authors and Affiliations

  1. 1.Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology, Department of Chemical, Materials and Production EngineeringUniversity of Naples Federico IINaplesItaly