<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron

Transport and Telecommunication Institute (TTI)

Fraunhofer Institute for Factory Operation and Automation (IFF)

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron"}

Inventory control problems arise in various industries, and each single real-world inventory is replete with non-standard factors and subtleties. Practical...

Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron

Pubblicato online: 26 giu 2019

Pagine: 251 - 259

DOI: https://doi.org/10.2478/ttj-2019-0021

Parole chiave
metamodelling, simulation, inventory control, artificial neural network, industrial artificial intelligence

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron

Pubblicato online: 26 giu 2019

Pagine: 251 - 259

DOI: https://doi.org/10.2478/ttj-2019-0021

Parole chiavemetamodelling, simulation, inventory control, artificial neural network, industrial artificial intelligence

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
metamodelling, simulation, inventory control, artificial neural network, industrial artificial intelligence