Title :
Mine Ore Blending Planning and Management Based on the Fuzzy Multi-objective Optimization Algorithm
Author :
Xu, T.J. ; Yang, P. ; Liu, Z.Q.
Author_Institution :
Key Lab. of High Efficient Min. of Metallic Ore Deposit, Minist. of Educ., Beijing
Abstract :
In a time of digitalization and informationization for mine enterprise, based on the complication of multiobjective ore blending planning and management, a question of fuzzy multi-objective ore blending is proposed. Then according to linguistic preference information and satisfying degree of decision maker, a fuzzy multi-objective optimization algorithm is designed. The algorithm effectively solves the difficulties in multi-objective decisions, such as difficult to quantify certain objectives and restrictions and to weigh decision objectives subjectively, and different dimensions of objectives. It has also the characteristics of flexibility and sensitivity, which is verified through a application example of certain mine, it is a practical, great universal method or means for the mine ore blending planning and management.
Keywords :
blending; decision making; fuzzy set theory; mineral processing industry; minerals; optimisation; production planning; decision maker; fuzzy multi-objective optimization algorithm; fuzzy multi-objective ore blending; linguistic preference information; mine enterprise; mine ore blending planning; multiobjective ore blending planning; Algorithm design and analysis; Design optimization; Electronic mail; Functional programming; Information management; Mathematical model; Ores; Production; Programming profession; Seminars; fuzzy optimization algorithm; multi-objective programming; ore blending; ore blending model; satisfying degree;
Conference_Titel :
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3560-9
DOI :
10.1109/ISBIM.2008.123