Engineering objective-driven product lifecycle management with enhanced human control

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

Great advances in information systems and computer hardware, software, and communication technologies in their background motivated the authors in a work for human intent based and human acceptable automation of product modeling. In an advanced virtual space called as model space, increasingly complex products are described by information for engineering objects. Current product modeling in comprehensive product lifecycle management (PLM) systems suffers from quick development generated problems. Huge amount of relationships makes current product models less transparent. Decisions are not explained by their background in product models so that they can not be understood at applications. In this paper, the authors propose a contribution to solve the above problems by establishment of an extension to current product modeling that can be accessed through standard API. They outlined the problem and background in management of product information and conceptualized human thinking driven definition of product entities. Following this an extension to classical product modeling is proposed towards intelligent content, for information content driven control of conventional model entity generation, and for implementation in industrial PLM systems.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
Pages543-556
Number of pages14
Volume243
DOIs
Publication statusPublished - 2009

Publication series

NameStudies in Computational Intelligence
Volume243
ISSN (Print)1860949X

Fingerprint

Application programming interfaces (API)
Computer hardware
Information systems
Automation
Communication

Keywords

  • Control of product definition processes
  • Information content in product mode
  • Intelligent product modeling
  • Product lifecycle management
  • Tracking of changes

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Horváth, L., & Rudas, I. (2009). Engineering objective-driven product lifecycle management with enhanced human control. In Studies in Computational Intelligence (Vol. 243, pp. 543-556). (Studies in Computational Intelligence; Vol. 243). https://doi.org/10.1007/978-3-642-03737-5_39

Engineering objective-driven product lifecycle management with enhanced human control. / Horváth, L.; Rudas, I.

Studies in Computational Intelligence. Vol. 243 2009. p. 543-556 (Studies in Computational Intelligence; Vol. 243).

Research output: Chapter in Book/Report/Conference proceedingChapter

Horváth, L & Rudas, I 2009, Engineering objective-driven product lifecycle management with enhanced human control. in Studies in Computational Intelligence. vol. 243, Studies in Computational Intelligence, vol. 243, pp. 543-556. https://doi.org/10.1007/978-3-642-03737-5_39
Horváth L, Rudas I. Engineering objective-driven product lifecycle management with enhanced human control. In Studies in Computational Intelligence. Vol. 243. 2009. p. 543-556. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-642-03737-5_39
Horváth, L. ; Rudas, I. / Engineering objective-driven product lifecycle management with enhanced human control. Studies in Computational Intelligence. Vol. 243 2009. pp. 543-556 (Studies in Computational Intelligence).
@inbook{c88a1d80f0244f0da602426a925ef9fa,
title = "Engineering objective-driven product lifecycle management with enhanced human control",
abstract = "Great advances in information systems and computer hardware, software, and communication technologies in their background motivated the authors in a work for human intent based and human acceptable automation of product modeling. In an advanced virtual space called as model space, increasingly complex products are described by information for engineering objects. Current product modeling in comprehensive product lifecycle management (PLM) systems suffers from quick development generated problems. Huge amount of relationships makes current product models less transparent. Decisions are not explained by their background in product models so that they can not be understood at applications. In this paper, the authors propose a contribution to solve the above problems by establishment of an extension to current product modeling that can be accessed through standard API. They outlined the problem and background in management of product information and conceptualized human thinking driven definition of product entities. Following this an extension to classical product modeling is proposed towards intelligent content, for information content driven control of conventional model entity generation, and for implementation in industrial PLM systems.",
keywords = "Control of product definition processes, Information content in product mode, Intelligent product modeling, Product lifecycle management, Tracking of changes",
author = "L. Horv{\'a}th and I. Rudas",
year = "2009",
doi = "10.1007/978-3-642-03737-5_39",
language = "English",
isbn = "9783642037368",
volume = "243",
series = "Studies in Computational Intelligence",
pages = "543--556",
booktitle = "Studies in Computational Intelligence",

}

TY - CHAP

T1 - Engineering objective-driven product lifecycle management with enhanced human control

AU - Horváth, L.

AU - Rudas, I.

PY - 2009

Y1 - 2009

N2 - Great advances in information systems and computer hardware, software, and communication technologies in their background motivated the authors in a work for human intent based and human acceptable automation of product modeling. In an advanced virtual space called as model space, increasingly complex products are described by information for engineering objects. Current product modeling in comprehensive product lifecycle management (PLM) systems suffers from quick development generated problems. Huge amount of relationships makes current product models less transparent. Decisions are not explained by their background in product models so that they can not be understood at applications. In this paper, the authors propose a contribution to solve the above problems by establishment of an extension to current product modeling that can be accessed through standard API. They outlined the problem and background in management of product information and conceptualized human thinking driven definition of product entities. Following this an extension to classical product modeling is proposed towards intelligent content, for information content driven control of conventional model entity generation, and for implementation in industrial PLM systems.

AB - Great advances in information systems and computer hardware, software, and communication technologies in their background motivated the authors in a work for human intent based and human acceptable automation of product modeling. In an advanced virtual space called as model space, increasingly complex products are described by information for engineering objects. Current product modeling in comprehensive product lifecycle management (PLM) systems suffers from quick development generated problems. Huge amount of relationships makes current product models less transparent. Decisions are not explained by their background in product models so that they can not be understood at applications. In this paper, the authors propose a contribution to solve the above problems by establishment of an extension to current product modeling that can be accessed through standard API. They outlined the problem and background in management of product information and conceptualized human thinking driven definition of product entities. Following this an extension to classical product modeling is proposed towards intelligent content, for information content driven control of conventional model entity generation, and for implementation in industrial PLM systems.

KW - Control of product definition processes

KW - Information content in product mode

KW - Intelligent product modeling

KW - Product lifecycle management

KW - Tracking of changes

UR - http://www.scopus.com/inward/record.url?scp=77958186406&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77958186406&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03737-5_39

DO - 10.1007/978-3-642-03737-5_39

M3 - Chapter

AN - SCOPUS:77958186406

SN - 9783642037368

VL - 243

T3 - Studies in Computational Intelligence

SP - 543

EP - 556

BT - Studies in Computational Intelligence

ER -