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Twenty‐Five Years of Successful Application of Constraint Technologies at Siemens
Author(s) -
Falkner Andreas,
Friedrich Gerhard,
Haselböck Alois,
Schenner Gottfried,
Schreiner Herwig
Publication year - 2016
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v37i4.2688
Subject(s) - siemens , key (lock) , computer science , constraint (computer aided design) , engineering management , manufacturing engineering , engineering , software engineering , systems engineering , knowledge management , operating system , mechanical engineering , electrical engineering
The development of problem solvers for configuration tasks is one of the most successful and mature application areas of artificial intelligence. The provision of tailored products, services, and systems requires efficient engineering and design processes where configurators play a crucial role. Because one of the core competencies of Siemens is to provide such highly engineered and customized systems, ranging from solutions for medium‐sized and small businesses up to huge industrial plants, the efficient implementation and maintenance of configurators are important goals for the success of many departments. For more than 25 years the application of constraint‐based methods has proven to be a key technology in order to realize configurators at Siemens. This article summarizes the main aspects and insights we have gained looking back over this period. In particular, we highlight the main technology factors regarding knowledge representation, reasoning, and integration that were important for our achievement. Finally we describe selected key application areas where the business success vitally depends on the high productivity of configuration processes.

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