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Continuous Planning for Solving Business Process Adaptivity · Study

WorkContinuous Planning for Solving Business Process Adaptivity

Andrea Marrella2011

Work2011

Continuous Planning for Solving Business Process Adaptivity

Andrea Marrella · Massimo Mecella

30 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Advanced Software Engineering Methodologies AI-based Problem Solving and Planning

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References

2007Business Process Management : Concepts, Languages, Architectures 2009Declarative workflows: Balancing between flexibility and support 2009Modern Business Process Automation 2004AgentWork: a workflow system supporting rule-based workflow adaptation 2013On Structured Workflow Modelling 2005Formal foundation and conceptual design of dynamic adaptations in a workflow management system 2000On Structured Workflow Modelling 2009PROVIDING INTEGRATED LIFE CYCLE SUPPORT IN PROCESS-AWARE INFORMATION SYSTEMS

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2011Featuring Automatic Adaptivity through Workflow Enactment and Planning 2017A planning approach to the automated synthesis of template-based process models

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2011Featuring Automatic Adaptivity through Workflow Enactment and Planningother · 6 shared references 2010Mining process model variants : challenges, techniques, examplesthesis · 5 shared references 2011What BPM Technology Can Do for Healthcare Process Supportother · 4 shared references 2016Intelligent Process Adaptation in the SmartPM Systemarticle · 4 shared references 2006Applying Algebraic Approaches for Modeling Workflows and their Transformations in Mobile Networksarticle · 4 shared references 2014Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approachesarticle · 3 shared references

Details

Year2011

Typeother

Published2011-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations30

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-642-21759-3_9

openalex_workW161767593

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