A Statistical Model for Shutdowns due to Air Quality Control for a Copper Production Decision Support System

Aboura Khalid ()
Additional contact information
Aboura Khalid: University of Dammam, College of Business Administration, Department of Quantitative Methods, Dammam, Saudi Arabia

Organizacija, 2015, vol. 48, issue 3, 198-202

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 (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/orga-2015-0014 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:organi:v:48:y:2015:i:3:p:198-202:n:3

DOI: 10.1515/orga-2015-0014

Access Statistics for this article

Organizacija is currently edited by Jože Zupančič

More articles in Organizacija from Sciendo
Bibliographic data for series maintained by Peter Golla ().