The need for simulation in complex industrial systems

• Authors: Khalid Aboura , Miroljub Kljajić , Ali Eskandarian
• Languages of publication: EN

Abstracts

EN

We discuss the concept of simulation and its application in the resolution of problems in complex industrial systems. Most problems of serious scale, be it an inventory problem, a production and distribution problem, a management of resources or process improvement, all real world problems require a mix of generic, data algorithmic and Ad-hoc solutions making the best of available information. We describe two projects in which analytical solutions were applied or contemplated. The first case study uses linear programming in the optimal allocation of advertising resources by a major internet service provider. The second study, in a series of projects, analyses options for the expansion of the production and distribution network of mining products, as part of a sensitive strategic business review. Using the examples, we make the case for the need of simulation in complex industrial problems where analytical solutions may be attempted but where the size and complexity of the problem forces a Monte Carlo approach.

Keywords

EN

simulation; linear programming; multi-echelon inventory; production process.

• Publisher: Sciendo
• Journal: Organizacija
• Year: 2012
• Volume: 45
• Issue: 5
• Pages: 219-227

Dates

published

2012-10-01

received

accepted

online

2012-10-31

Contributors

author

Khalid Aboura

• University of Technology Sydney, School of Civil and Environmental Engineering,15 Broadway, Ultimo, NSW 2007, Australia

author

Miroljub Kljajić

• University of Maribor, Faculty of Organizational Sciences, Kidričeva 55a, Kranj, Slovenia

author

Ali Eskandarian

• The George Washington University, Department of Physics, 805 21st Street, NW, Suite 301, Washington, DC 20052, U.S.A.

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Identifiers

DOI

10.2478/v10051-012-0022-4