Product definition by requested behavior

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Current product definition in Product Lifecycle Management systems is done on the level of features. Feature modifies previous state of product model in a well defined way. Features defined on product are modified along contextual chains of feature parameters when situation or event change is recognized by experience and expertise based knowledge features. Features those drive event changes in product model represent only slight knowledge as a result of decision processes. Although optimizing algorithms and other methodologies can be included in product model, the way to decision can not be handled. This paper introduces a new contribution to situation based modeling on the way of changing human definition of product from the product feature and slight knowledge level to requested product behavior level. New model features and their contextual connections with features in the improved modeling are introduced. The reported work uses former results by the authors mainly at definition and relation of behavior features.

Original languageEnglish
Title of host publicationINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Pages249-254
Number of pages6
DOIs
Publication statusPublished - Dec 12 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Publication series

NameINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
CountryCosta Rica
CitySan Jose
Period6/19/136/21/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Horvath, L., & Rudas, I. J. (2013). Product definition by requested behavior. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (pp. 249-254). [6632820] (INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2013.6632820