Unit:
Κατεύθυνση Στατιστική και Επιχειρησιακή ΈρευναLibrary of the School of Science
Author:
Vountourakis Georgios
Supervisors info:
Μπουρνέτας Απόστολος, Καθηγητής, Τμήμα Μαθηματικών, Σχολή Θετικών Επιστημών
Μάνου Αθανασία, Επίκουρη Καθηγήτρια, Τμήμα Μαθηματικών, Σχολή Θετικών Επιστημών
Οικονόμου Αντώνιος, Καθηγητής, Τμήμα Μαθηματικών, Σχολή Θετικών Επιστημών
Original Title:
Applications of Neural Networks in production management problems
Translated title:
Applications of Neural Networks in production management problems
Summary:
The production management problems for many products are reduced to optimization problems of high complexity. Moreover, in many cases the problem has to be solved under partial information of the distribution of probability of demand, the parameters of the cost etc.
Artificial neural networks are a very powerful computational model. In this thesis we will present the basic models of Artificial Neural Networks and their applications to optimization problems with main focus on the newsvendor problem. Furthermore, we will propose our own neural network for these problems and evaluate their performance upon numerical experiments.
Main subject category:
Science
Keywords:
Neural Networks, Optimization, Newsvendor Problem
