A framework for Comminution Circuits Design evaluation using grey compromise programming
Dragisa Stanujkic,
Sanja Stojanovic,
Rodoljub Jovanovic and
Nedeljko Magdalinovic
Journal of Business Economics and Management, 2013, vol. 14, issue sup1, S188-S212
Abstract:
Comminution process, particularly grinding, is very important in the mineral processing industry. Some characteristics of ore particles, which occur as a product of grinding process, have a significant impact on the effects of further ore processing. At the same time, this process requires a significant amount of energy and also significantly affects the overall processing costs. Therefore, in this paper, we propose new multiple criteria decision making model based on grey compromise programming for adequate comminution circuit design selection.Although it is based on a simple procedure, we consider that the proposed model is efficient and flexible, and that it also represents the basis for forming more sophisticated models for comminution circuit design selection, as in addition, many other decision making problems in business environment, which is characterized by predictions and uncertainty.
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.3846/16111699.2012.720599 (text/html)
Access to full text is restricted to subscribers.
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:taf:jbemgt:v:14:y:2013:i:sup1:p:s188-s212
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TBEM20
DOI: 10.3846/16111699.2012.720599
Access Statistics for this article
Journal of Business Economics and Management is currently edited by Izolda Joksiene, Romualdas Ginevicius and Ieva Meidute
More articles in Journal of Business Economics and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().