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Advanced modeling of networked print production by use of XML-based job definition and job messaging communication

Published: 07 December 2008 Publication History

Abstract

Networked production gains increasing importance in many industries. In print media industries networked production requires advanced print and media specific job definitions and the communication of job relevant information along the complete production chain. The relatively young XML based communication standard JDF/JMF allows to specify workflow models and data exchange. Based on an object-oriented approach a simulation and modeling framework is proposed, which implements modules for the resources and controls applied in this particular industry. For this framework the available JavaSim-simulation library shall be extended to enable modeling of networked print production using the same JDF-/JMF-communication algorithms as applied in realworld system communication. This leads towards integration of simulation for factory planning and operative planning and control of networked print production in a digital factory environment.

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Published In

cover image ACM Conferences
WSC '08: Proceedings of the 40th Conference on Winter Simulation
December 2008
3189 pages
ISBN:9781424427086

Sponsors

  • IIE: Institute of Industrial Engineers
  • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
  • ASA: American Statistical Association
  • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International

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Winter Simulation Conference

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Published: 07 December 2008

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WSC08
Sponsor:
  • IIE
  • INFORMS-SIM
  • ASA
  • IEEE/SMC
  • SIGSIM
  • NIST
  • (SCS)
WSC08: Winter Simulation Conference
December 7 - 10, 2008
Florida, Miami

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WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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