Overview - IÉSEG

Overview

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As a special type of design activities, configuration involves the selection of suitable components from predefined ones, the association of selected components based on constraints, and the evaluation of configured products. It requires powerful knowledge representation formalism and acquisition methods to capture the variety and complexity of configurable products.

Furthermore, efficient reasoning methods are required to support intelligent interactive behavior, solution search, satisfaction of user preferences, personalization, optimization, reconfiguration, and diagnosis.

In the recent years, the applications of configuration principles have been investigated in other fields, such as process planning, supply chain management, and service process design.

The main goal of the workshop is to promote high-quality research in all areas related to configuration. The workshop is of interest for both researchers and practitioners who are interested in the relationship between the configuration technique and business issues/problems. It provides a forum for the exchange of ideas, evaluations, progresses, and experiences related to configuration activities, the use of AI tools in configuration, and the application of configuration principles in other fields.

Workshop topics include but are not limited to the following ones:

  • Configuration Problems and Models
    Configuration dealing with unforeseen customer requirements, configuration involving new components design, structure of configuration problems, knowledge representation, ontologies, fuzzy and incomplete knowledge, standardization of catalog exchange formats, feature models, configuration problems, representations for product and process configuration, product design and configuration.
  • Techniques for obtaining and/or maintaining Configuration Models
    Knowledge acquisition methods, cognitive approaches, machine learning, data extraction methods, ontology integration, reconciliation of knowledge bases, knowledge elicitation, testing and debugging, knowledge understanding.
  • Reasoning Methods
    Constraint satisfaction problems and extensions, preference based reasoning, description logics, rules, case-based reasoning, SAT-solving, local search, genetic algorithms, neural networks, problem decomposition, optimization, multi-criteria optimization, symmetry breaking, cooperative configuration processes, reconfiguration of existing systems, explanations, distributed problem solving, benchmark proposals, knowledge-based recommendation, knowledge compilation.
  • Intelligent User Interfaces and Business Process Integration
    Personalization, machine learning, explanations, recommender technologies, configuration web services, related software architectures, distributed configuration, integration into the production and selling process, configuration and mass customization.
  • Configuration in other fields
    Configuration-based process planning, production configuration, healthcare process configuration, configuration-based business processes, supply chain configuration.
  • Applications and Tools
    Configuration tools, design tools, application reports, case studies, real-world challenges, test environments for configuration knowledge bases, software configuration, service composition, and model-driven engineering, environments for feature model development and maintenance.
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