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Multi-objective optimisation of a capacitated and dynamic multi-item inventory system using physical(-related) metaheuristics

Zizler, Markus Albert (2008) Multi-objective optimisation of a capacitated and dynamic multi-item inventory system using physical(-related) metaheuristics. PhD, Universität Regensburg.

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Date of publication of this fulltext: 04 Mar 2008 16:20

Abstract (English)

The dissertation is about the optimisation of an inventory control system. On the one hand a forecasting model was developed und with physical optimisation methods a forecast under diverse contraints like capacity or budget restrictions was made. On the other hand the main part of the dissertation was about the optimisation of inventory control policies. Different policies have been evaluated by ...


Translation of the abstract (German)

Thema der Arbeit ist die Optimierung eines Lagersystems. Zum einen wird dabei ein Prognosemodell entworfen und mit physikalischen Optimierungsverfahren eine Prognose unter verschiedenen Nebenbedingungen wie Kapazitäts- oder Budgetrestriktionen erstellt. Desweiteren ist als Hauptteil der Arbeit ein Modell zur Optimierung von Lagerbestandspolitiken entworfen worden. Diverse Lagerpolitiken werden ...


Export bibliographical data

Item type:Thesis of the University of Regensburg (PhD)
Date:3 March 2008
Referee:Prof. Dr. Ingo Morgenstern
Date of exam:19 February 2008
Institutions:Physics > Institute of Theroretical Physics > Professor Morgenstern
Keywords:Simulated annealing , Genetischer Algorithmus , Metaheuristik , Optimierungsproblem , Bestandsmanagement , Physikalisches Verfahren , Wirtschaftsphysik , SS-Politik , tS-Politik , SQ-Politik , Lagerbestandspolitiken , simulated annealing , genetic algorithm , metaheuristic , forecasting , econophysics , inventory control policies
Dewey Decimal Classification:500 Science > 530 Physics
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:10711
Owner only: item control page


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