Transport and Telecommunication (Jun 2019)

Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron

  • Jackson Ilya,
  • Tolujevs Jurijs,
  • Lang Sebastian,
  • Kegenbekov Zhandos

DOI
https://doi.org/10.2478/ttj-2019-0021
Journal volume & issue
Vol. 20, no. 3
pp. 251 – 259

Abstract

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Inventory control problems arise in various industries, and each single real-world inventory is replete with non-standard factors and subtleties. Practical stochastic inventory control problems are often analytically intractable, because of their complexity. In this regard, simulation-optimization is becoming more and more popular tool for solving complicated business-driven problems. Unfortunately, simulation, especially detailed, is both time and memory consuming. In the light of this fact, it may be more reasonable to use an alternative cheaper-to-compute metamodel, which is specifically designed in order to approximate an original simulation. In this research we discus metamodelling of stochastic multiproduct inventory control system with perishable products using a multilayer perceptron with a rectified linear unit as an activation function.

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