The need for simulation in complex industrial systems

Khalid Aboura (Author), Miroljub Kljajić (Author), Ali Eskandarian (Author)

Abstract

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

simulation;linear programming;production process;

Data

Language:	English
Year of publishing:	2012
Typology:	1.01 - Original Scientific Article
Organization:	UM FOV - Faculty of Organizational Sciences
Publisher:	Moderna organizacija
UDC:	004.94
COBISS:	7069459
ISSN:	1318-5454
Views:	375
Downloads:	77
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary title:	Potrebe po simulaciji kompleksnih industrijskih sistemov
Secondary abstract:	V članku razpravljamo o konceptu simulacije in njeni uporabi pri obravnavi kompleksnih industrijskih procesov. Večina zapletenih industrijskih problemov, kot so vodenje zalog, proizvodnja in distribucija, upravljanje virov ali izboljšave procesa, zahtevajo kombinacijo različnih metod kot na primer linearno programiranje, ad-hoc algoritmi ali simulacija za reševanje problemov na podlagi razpoložljivih informacij. V članku smo opisali dva projekta kjer smo ubrali analitično pot in kritično razmišljali o njej. V prvem primeru smo uporabili linearno programiranje za optimalno alokacijo marketinških virov za glavnega internetnega ponudnika storitev. Drugi primer sestoji od vrste projektov, kjer analiziramo možnost razširitve proizvodnje in mreže dostave rudarskih izdelkov kot del občutljive strategije poslovne politike podjetja. Na podlagi primerov smo utemeljili potrebo po Monte Carlo simulaciji v kompleksnih industrijskih problemih kot bolj učinkovitega pristopa od analitičnega.
Secondary keywords:	simulacija;linearno programiranje;proizvodnja;
URN:	URN:NBN:SI:doc-AO5U6KWM
Type (COBISS):	Scientific work
Pages:	str. 219-227
Volume:	Letn. 45
Issue:	št. 5
Chronology:	sep.-okt. 2012
DOI:	10.2478/v10051-012-0022-4
ID:	1726377