System dynamics and learning: Learning during the product realization chain

Anna P. Chatzimichali, Vassilios D. Tourassis

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

2 Citations (SciVal)

Abstract

Global market competition and consumer attitudes, demand a constant flow of new products in the market. Product lifecycles shrink and consequently the pressure for novel products that rapidly pass from the R&D lab to the consumer hands is increased, especially for high-technology firms. This requires particularly high rates of learning allowing firms to develop new products faster and adapt quickly to market changes. This paper addresses a gap in the learning literature, presenting an integrative model for learning during the whole process of new product development, from concept design to actual manufacturing. Higher order learning dynamics, occurring during the product realization chain (product design, process modeling, process execution) are combined with the learning curve theory, in order to present an innovative view of learning that facilitates the modeling of this complex process through control theory.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
PublisherIEEE
Pages2506-2511
Number of pages6
ISBN (Electronic)9781424465880
ISBN (Print)9781424465866
DOIs
Publication statusPublished - 13 Oct 2010
Event2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey
Duration: 10 Oct 201013 Oct 2010

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Country/TerritoryTurkey
CityIstanbul
Period10/10/1013/10/10

Keywords

  • Learning curve theory
  • New product development
  • Product realization chain

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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