A statistical model for shutdowns due to air quality control for a copper production decision support system

Aboura, Khalid

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Title:	A statistical model for shutdowns due to air quality control for a copper production decision support system
Authors:	ID Aboura, Khalid (Author)
Files:	Organizacija_2015_Aboura_A_Statistical_Model_for_Shutdowns_due_to_Air_Quality_Control_for_a_Copper_Production_Decision_Support_System.pdf (339,98 KB) MD5: 7EB2E7B3009F076ED345688431583DAA PID: 20.500.12556/dkum/3bd2e4a7-1580-4a04-a246-59543f7eb691 https://www.degruyter.com/view/j/orga.2015.48.issue-3/orga-2015-0014/orga-2015-0014.xml
Language:	English
Work type:	Scientific work (r2)
Typology:	1.01 - Original Scientific Article
Organization:	FOV - Faculty of Organizational Sciences in Kranj
Abstract:	Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility. Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs. Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data. Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface. Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.
Keywords:	decision support system, simulation, statistical modelling
Year of publishing:	2015
Publication status in journal:	Published
Article version:	Publisher's version of article
Number of pages:	str. 198-202
Numbering:	Letn. 48, št. 3
PID:	20.500.12556/DKUM-69065
ISSN:	1318-5454
UDC:	005.311.6:622.343
ISSN on article:	1318-5454
COBISS.SI-ID:	283349504
DOI:	10.1515/orga-2015-0014
NUK URN:	URN:SI:UM:DK:FV4CZPCD
Publication date in DKUM:	28.11.2017
Views:	812
Downloads:	314
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Categories:	Misc.
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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

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:	28.11.2017

Secondary language

Language:	Slovenian
Title:	Statistični model zaustavitev zaradi nadzora kakovosti zraka pri proizvodnji bakra: sistem za podporo odločanju
Abstract:	Ozadje: V sredini 1990-ih let je bil razvit sistem za podporo odločanju za proizvodnjo bakra za eno od največjih rudarskih podjetij v Avstraliji. Raziskava je bila izvedena s strani znanstvenikov iz največjega avstralskega raziskovalnega centra in vključuje uporabo simulacije za analizo možnosti za povečanje proizvodnje bakra. Cilji: Opisan je razvoj statističnega modela zaustavitev zaradi nadzora kakovosti zraka in prikazane so nekatere analize podatkov, izvedene v okviru projekta simulacije. Simulacija, ki je vključevala več modulov in statistični model zaustavitev je bistvenega pomena za veljavnost simulacijskih tekov. Metoda: uporabili smo statistični model, ki izhaja iz podatkov o dnevnih zastojev za eno leto, in kombinacijo tehnik za ustvarjanje replik podatkov. Rezultati: Raziskava je zahtevala visoko stopnjo sodelovanja med znanstveniki in rudarsko družbo. Na ta način je bil z uporabo preglednice izdelan vmesnik za vnos ustrezno natančnih ocen v simulacijski sistem. Zaključek: Okoljske razmere močno vplivajo na poslovanje v proizvodnem obratu bakra. Zato je dober statistični model bistvenega pomena za uspešno simulacijo in podporo odločanju.
Keywords:	rudarstvo, baker, proizvodnja, vodenje, odločanje, simulacija, modeli

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Organizacija

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