A multivariate destination policy for geometallurgical variables in mineral value chains using coalition-formation clustering

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• 作者：Maria Fernanda Del Castillo ; ^{maria.delcastillo@mail.mcgill.ca} ; Roussos Dimitrakopoulos ^{roussos.dimitrakopoulos@mcgill.ca}
• 关键词：Cooperative game theory ; Destination policy ; Mining optimization ; Priority groups ; Clustering
• 刊名：Resources Policy
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：50
• 期：Complete
• 页码：322-332
• 全文大小：1372 K
• 卷排序：50

文摘

Polymetallic mines require complex blends for processing of material extracted. Proposed multivariate destination policy considers relation of ore processed together. New multivariate method based on coalition formation from cooperative game theory. Problem size is reduced by “priority group” approximation method and clustering. Case study shows better performance in meeting blends and 5.6% increase in NPV.