On the Development of Extended Communication Driven DSS within Dynamic Manufacturing Networks

  • Authors:
  • Sé/bastien Kicin;Christoph Gringmuth;Jukka Hemilä/

  • Affiliations:
  • CAS Software AG, Innovation & Business Development, Karlsruhe, Germany, Email: sebastien.kicin@cas.de/ Christoph.Gringmuth@cas.de;CAS Software AG, Innovation & Business Development, Karlsruhe, Germany, Email: sebastien.kicin@cas.de/ Christoph.Gringmuth@cas.de;VTT Technical Research centre of Finnland, Helsinki, Email: Jukka.Hemila@vtt.fi

  • Venue:
  • Proceedings of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges
  • Year:
  • 2008

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Abstract

The slow progress to date regarding inter-organizational collaborative decision management within manufacturing supply chains is due to a lack of common understanding of this concept, and the difficulty of integrating external requirements of customers and suppliers into opaque internal decision control. In this paper, we focus on the production management of dynamic manufacturing networks that is characterized by non-centralized decision making. We set out to clarify internal decision collaboration concepts based on research and technology led on collaborative work and enterprise modeling techniques, and discuss how IT can support and improve business and managerial decision-making within supply chains. This paper begins with examining the Communication Driven Decision Support System (DSS) concept and its integration within a supply chain point of view. A framework for inter-organizational decision support is then discussed and linked to the traditional Decision Support Systems and the overall Information Management solutions. We conclude that the effectiveness of supply chain collaboration relies upon two factors: the level to which it integrates internal and external decisions at strategic, tactical and operational levels, and the level to which the efforts are aligned to the supply chain settings in terms of the geographical dispersion, the demand pattern, and the product characteristics.