Fuzzy linear model for production optimization of mining systems with multiple entities

Slobodan Vujic; Tomo Benovic; Igor Miljanovic; Marjan Hudej; Aleksandar Milutinovic; Petar Pavlovic

doi:10.1007/s12613-011-0488-8

International Journal of Minerals, Metallurgy, and Materials ›› 2011, Vol. 18 ›› Issue (6) : 633 -637. DOI: 10.1007/s12613-011-0488-8

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Fuzzy linear model for production optimization of mining systems with multiple entities

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Abstract

Planning and production optimization within multiple mines or several work sites (entities) mining systems by using fuzzy linear programming (LP) was studied. LP is the most commonly used operations research methods in mining engineering. After the introductory review of properties and limitations of applying LP, short reviews of the general settings of deterministic and fuzzy LP models are presented. With the purpose of comparative analysis, the application of both LP models is presented using the example of the Bauxite Basin Niksic with five mines. After the assessment, LP is an efficient mathematical modeling tool in production planning and solving many other single-criteria optimization problems of mining engineering. After the comparison of advantages and deficiencies of both deterministic and fuzzy LP models, the conclusion presents benefits of the fuzzy LP model but is also stating that seeking the optimal plan of production means to accomplish the overall analysis that will encompass the LP model approaches.

Keywords

linear programming / fuzzy set theory / optimization / production planning / bauxite mines

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Slobodan Vujic, Tomo Benovic, Igor Miljanovic, Marjan Hudej, Aleksandar Milutinovic, Petar Pavlovic. Fuzzy linear model for production optimization of mining systems with multiple entities. International Journal of Minerals, Metallurgy, and Materials, 2011, 18(6): 633-637 DOI:10.1007/s12613-011-0488-8

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