1. Multi-Criteria Decision Support System for Optimal Blending Process in Zinc Production
- Author
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Predrag Djordjevic, Bojan Bojanov, Zivan Zivkovic, Ivan Mihajlović, Marija Savic, and Djordje Nikolić
- Subjects
business.industry ,Process (engineering) ,Computer science ,Mechanical Engineering ,media_common.quotation_subject ,Rank (computer programming) ,Analytic hierarchy process ,chemistry.chemical_element ,General Chemistry ,Zinc ,Geotechnical Engineering and Engineering Geology ,Multi criteria decision ,chemistry ,Production (economics) ,Economic Geology ,Quality (business) ,Process engineering ,business ,Selection (genetic algorithm) ,media_common - Abstract
The formation of input batch zinc concentrates is one of the key processes on which the quality and efficiency of all subsequent operations during the production of zinc cathodes directly depends. The optimization of the formation of a mixed batch aims at making a selection between the zinc concentrates that have different contents of useful and harmful components and to determine their share in the optimal mix. A multi criteria optimization model, which can be a good support for the defined problem of determining the optimal mixture of zinc concentrates, was developed in this study. For an evaluation of this model, according to four different research scenarios, the PROMETHEE/GAIA methodology was used to rank the considered zinc concentrates and determine their optimal share in the mix batch. In addition, the determination of the significance of the criteria in the optimization model was performed by application of the subjective AHP approach and the objective entropic approach. The results of this study...
- Published
- 2014
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