Enterprise and Organizational Modeling and Simulation 6th International Workshop, EOMAS 2010, held at CAiSE 2010, Hammamet, Tunisia, June 7-8, 2010, Selected Papers /

This book constitutes the post-proceedings of the 6th International Workshop on Enterprise and Organizational Modeling and Simulation (EOMAS 2010) , held at the CAiSE 2010 conference in Hammamet, Tunisia, June 7-8, 2010. The 12 papers presented in this volume were carefully reviewed and selected fro...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Barjis, Joseph (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Business Information Processing, 63
Temas:
Business mathematics.
Business information services.
Information technology > Management.
Application software.
Software engineering.
Business Mathematics.
IT in Business.
Computer Application in Administrative Data Processing.
Computer and Information Systems Applications.
Software Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Business Process Simulation Revisited
  • The Relevance of Modeling and Simulation in Enterprise and Organizational Study
  • Organization Modeling and Simulation Using BORM Approach
  • Agent-Based Simulation for Evaluating Flexible and Agile Business Processes: Separating Knowledge Rules, Process Rules and Information Resources
  • Using Fact-Based Modeling for Business Simulation
  • A Framework for the Semantic Representation of Business Processes within Business Organizational Models
  • ERP Implementation Strategies: The Importance of Process Modeling and Analysis
  • A Technique for Annotating EA Information Models with Goals
  • Applying DEMO in Operations Research: Lot Sizing and Scheduling
  • User Interfaces Modelling of Workflow Information Systems
  • Mal-processes: Explicitly Modelling the Deviant
  • Modeling Human Decision Behaviors for Accurate Prediction of Project Schedule Duration.

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