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Title:The need for simulation in complex industrial systems
Authors:ID Aboura, Khalid (Author)
ID Kljajić, Miroljub (Author)
ID Eskandarian, Ali (Author)
Files:.pdf Organizacija_2012_Aboura,_Kljajic,_Eskandarian_The_need_for_simulation_in_complex_industrial_systems.pdf (448,62 KB)
MD5: BD6F015815BFAEB20B955B5C6B91AE81
 
URL http://www.degruyter.com/view/j/orga.2012.45.issue-5/v10051-012-0022-4/v10051-012-0022-4.xml
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FOV - Faculty of Organizational Sciences in Kranj
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
Publication status:Published
Publication version:Version of Record
Year of publishing:2012
Number of pages:str. 219-227
Numbering:Letn. 45, št. 5
PID:20.500.12556/DKUM-52157 New window
ISSN:1318-5454
UDC:004.94
ISSN on article:1318-5454
COBISS.SI-ID:7069459 New window
DOI:10.2478/v10051-012-0022-4 New window
NUK URN:URN:SI:UM:DK:MTPCVMVG
Publication date in DKUM:10.07.2015
Views:1232
Downloads:404
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
ABOURA, Khalid, KLJAJIĆ, Miroljub and ESKANDARIAN, Ali, 2012, The need for simulation in complex industrial systems. Recent advances in systems, decision making, collaborative work and learning [online]. 2012. Vol. 45, no. 5, p. 219–227. [Accessed 26 April 2025]. DOI 10.2478/v10051-012-0022-4. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=52157
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Record is a part of a proceedings

Title:Recent advances in systems, decision making, collaborative work and learning
COBISS.SI-ID:7068947 New window

Record is a part of a journal

Title:Organizacija : revija za management, informatiko in kadre
Shortened title:Organizacija
Publisher:Moderna organizacija
ISSN:1318-5454
COBISS.SI-ID:610909 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:10.07.2015

Secondary language

Language:Slovenian
Title:Potrebe po simulaciji kompleksnih industrijskih sistemov
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.
Keywords:simulacija, linearno programiranje, proizvodnja


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This document is a part of these collections:
  1. Organizacija

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