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International Conference on Reliability and Statistics in Transportation and Communication

RelStat 2019: Reliability and Statistics in Transportation and Communication pp 90–99Cite as

Neuroevolutionary Approach to Metamodeling of Production-Inventory Systems with Lost-Sales and Markovian Demand

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 117))

Abstract

This paper discusses the application of neuroevolutionary automated machine learning to metamodeling of complex production-inventory systems. The proposed framework incorporates multilayer perceptron and genetic algorithm. As a numerical example this paper also demonstrates the application of this framework to metamodeling of multiproduct production-inventory system with lost-sales and Markov-modulated demand.

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Authors and Affiliations

  1. Transport and Telecommunication Institute (TTI), Lomonosova iela 1, Riga, Latvia

    Ilya Jackson

Authors
  1. Ilya Jackson
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Correspondence to Ilya Jackson .

Editor information

Editors and Affiliations

  1. Telematics and Logistics, Transport and Telecommunication Institute, Riga, Latvia

    Igor Kabashkin

  2. Transport and Telecommunication Institute, Riga, Latvia

    Irina Yatskiv

  3. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Prentkovskis

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Jackson, I. (2020). Neuroevolutionary Approach to Metamodeling of Production-Inventory Systems with Lost-Sales and Markovian Demand. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2019. Lecture Notes in Networks and Systems, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-030-44610-9_10

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