Learning from Nature. Using Genetic Algorithms for Inventory Optimisation

Name: Learning from Nature. Using Genetic Algorithms for Inventory Optimisation
Brand: Grin Verlag
SKU: 9783346305008
Price: 554 CZK
Availability: InStock

Autor: Leopold Pfeiffer

Jazyk:

Vazba: Brožovaná

Vydavatel: Grin Verlag

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

554 Kč

Bachelor Thesis from the year 2020 in the subject Mathematics - Applied Mathematics, grade: 1,00, Un...

Informace o knize

Autor

Leopold Pfeiffer

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

EAN

9783346305008

ISBN

3346305007

Enbook ID

35447512

Vydavatel

Grin Verlag

Hmotnost

107

Rozměry

148 x 210 x 5

Kompletní popis

Bachelor Thesis from the year 2020 in the subject Mathematics - Applied Mathematics, grade: 1,00, University of Augsburg (Quantitative Methods), language: English, abstract: A battery of approaches has been applied by researchers and practitioners in the field of inventory optimisation to find optimal inventory policies that can drive the success of businesses of various industries. One such approach is based on the use of genetic algorithms, a multi-purpose subclass of evolutionary algorithms that imitate the prin- ciples of evolution to solve combinatorial problems. In this thesis, we extensively explore the theoretical background of inventory optimisation as well as genetic algorithms before we develop a four-stage serial supply chain model and implement a genetic algorithm for base-stock level optimisation.

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Learning from Nature. Using Genetic Algorithms for Inventory Optimisation

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