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Intelligent Mathematical Modelling Agent for Supporting Decision-Making at Industry 4.0

  • Edrisi Muñoz
  • Elisabet Capón-García
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 865)

Abstract

The basis of decision-making at industry consists of formally representing the system and its subsystems in a model, which adequately captures those features that are necessary to reach consistent decisions. New trends in semantics and knowledge models aim to formalize the mathematical domain and mathematical models in order to provide bases for machine reasoning and artificial intelligence. Hence, tools for improving information sharing and communication have proved to be highly promising to support the integration of performance assessment within industrial decision-making. This work presents an intelligent agent based on knowledge models and establishes the basis for automating the design, management, programming and solution of mathematical models used in the industry. A case study concerning a capacity limitation constraint demonstrates the performance of the agent and indicates the directions for future work.

Keywords

Process optimization Knowledge management Intelligent agent Mathematical modelling Mathematical programming 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Centro de Investigación en Matemáticas A.C.GuanajuatoMexico
  2. 2.ABB Switzerland Ltd.Baden-DättwilSwitzerland

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