img

Wechat

  • CN 62-1112/TF 
  • ISSN 1005-2518 
  • Founded in 1988
Adv. Search

Concentration Equipment Optimization Based on Variable Weight Theory and TOPSIS

  • WANG Xinmin ,
  • RONG Shuai ,
  • ZHAO Maoyang ,
  • ZHANG Qinli
Expand
  • School of Resources and Safety Engineering,Central South University,Changsha    410083,Hunan,China

Received date: 2016-05-05

  Revised date: 2016-07-06

  Online published: 2017-09-11

Abstract

In order to solve the problems of tailings storage and concentration device selection,a comprehensive evaluation standard system based on variable weight analysis method and TOPSIS is put forward to select a preferred solution of three schemes.Firstly,set up a comprehensive evaluation index system,taking cost,operating cost,site conditions,backfill materials properties,put-sand concentration,volume effective utilization rate,maintenance ease of cleaning and working efficiency into consideration.Because of the conventional methods such as analytic weights process may lead to the phenomenon of “imbalances” when evaluating the candidate solutions,through adjust the weight of each factor in the hope of the balance of various factors on the basis of variable weight theory.Secondly,sort of close to ideal solution method through TOPSIS method to obtain superiority degree from different candidates.Finally,a concentration equipment selection in an iron mine in Hebei Province was taking as an example,put forward three proposals which are horizontal sand bin,vertical sand bin and deep cone thickener respectively.Through calculation,the superiority degree of each scheme were 57.5%,72.1% and 88.5%,respectively,deep cone thickener is selected and the result is consistent with the engineering practice.It shows that the comprehensive evaluation index for the choice of backfilling concentration equipment has reference value,and it provides a scientific and reliable analysis method on the optimization problems in engineering practice.

Cite this article

WANG Xinmin , RONG Shuai , ZHAO Maoyang , ZHANG Qinli . Concentration Equipment Optimization Based on Variable Weight Theory and TOPSIS[J]. Gold Science and Technology, 2017 , 25(3) : 77 -83 . DOI: 10.11872/j.issn.1005-2518.2017.03.077

References

[1] Wang Xinmin,Gu Desheng,Zhang Qinli.Filling Theory and Pipeline Transportation Technology in Deep Mines[M].Changsha:Central South University Press,2010.[王新民,古德生,张钦礼.深井矿山充填理论与管道输送技术[M].长沙:中南大学出版社,2010.]
[2] Jiang Ke,Yao Zhongliang.Optimization of concentration device based on AHP-FCE[J].China Tungsten Industry,2015,30(6):5-9.[江科,姚中亮.基于AHP-FCE的浓缩装置优选[J].中国钨业,2015,30(6):5-9.]
[3] Wang Xinmin,Zhao Bin,Zhang Qinli.Mining method choice based on AHP and fuzzy mathematics[J].Journal of Central South University(Science and Technology),2008,39(5):875-880.[王新民,赵彬,张钦礼.基于层次分析法和模糊数学的采矿方法选择[J].中南大学学报(自然科学版),2008,39(5):875-880.]
[4] Wang Xinmin,Li Tianzheng,Chen Qiusong,et al.Filling way optimization based on variable weight theory and TOPSIS[J]. Journal of Central South University(Science and Technology),2016,47(1):198-203.[王新民,李天正,陈秋松,等.基于变权重理论和TOPSIS的充填方式优选[J].中南大学学报(自然科学版),2016,47(1):198-203.]
[5] Cao Kejin,Jiang Han,Zhao Zonggui.Air threat assessment based on variable weight theory[J].Journal of PLA Univer- sity of Science and Technology(Natural Science Edition),2006,7(1):32-35.[曹可劲,江汉,赵宗贵.一种基于变权理论的空中目标威胁估计方法[J].解放军理工大学学报(自然科学版),2006,7(1):32-35.]
[6] Yang Baochen,Chen Yue.Grey relational decision-making model based on variable weight and TOPSIS method[J].Systems Engineering,2011,29(6):106-112.[杨宝臣,陈跃.基于变权和TOPSIS方法的灰色关联决策模型[J].系统工程,2011,29(6):106-112.]
[7] Lin M C,Wang C C,Chen M S.Using AHP and TOPSIS approaches in customer-driven product design process[J].Computer in Industry,2008,59(1):17-31.
[8] Dagdeviren M,Yavuz S,Kilinc N.Weapon selection using AHP and TOPSIS methods under fuzzy environment[J].Expert Systems with Application,2009,36(4):8143-8151.
[9] Yang Haoxiang,Liang Chuan,Hou Xiaobo.Application of improved TOPSIS model in the comprehensive evaluation of groundwater quality[J].South-to-North Water Transfers and Water Science&Technology,2010,10(5):51-55.[杨皓翔,梁川,侯小波.改进的TOPSIS模型在地下水水质评价中的应用[J].南水北调与水利科技,2012,10(5):51-55.]
[10] Wang Xinmin,Li Jiehui,Zhang Qinli.Optimizing mining stope structural parameters using a FAHP[J].Journal of China University of Mining & Technology,2010,39(2):163-168.[王新民,李洁慧,张钦礼.基于FAHP的采场结构参数优化研究[J].中国矿业大学学报,2010,39(2):163-168.]
[11] Wang Peizhuang.Fuzzy Sets and Random Sets[M].Beijing:Beijing Normal University Press,1995:93-102.[汪培庄.模糊集与随机集落影[M].北京:北京师范大学出版社,1985:93-102.]
[12] Li Hongxing.Factor spaces and mathematical frame of knowledge representation(VIII):Variable weight principle[J].Fuzzy Systems and Mathematics,1995,9(3):1-9.[李洪兴.因素空间理论与知识表示的数学框架(Ⅷ):变权综合原理[J].模糊系统与数学,1995,9(3):1-9.]
[13] You Kesi,Sun Lu,Gu Wenjun.Variable weight comprehensive evaluation method in the evaluation of road safety in the mountains[J].Systems Engineering,2010,28(5):85-88.[游克思,孙璐,顾文钧.变权综合评价法在山区道路安全评价中应用[J].系统工程,2010,28(5):85-88.]
[14]  Li Deqing,Li Hongxing.The nature and structure of the state variable weights vector[J].Journal of Beijing Normal University(Science and Technology Edition),2002,38(4):455-461.[李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报(自然科学版),2002,38(4):455-461.]
[15] Li Deqing,Cui Hongmei,Li Hongxing.Multivariate decision based on hierarchical variable weights[J].Systems Engi- neering,2004,19(3):258-263.[李德清,崔红梅,李洪兴.基于层次变权的多因素决策[J].系统工程学报,2004, 19(3):258-263.]
[16] Zhang Jinchun,Qiu Hangping,Quan Jichuan.The construction of balance function in variable weight evaluation[J].Fire Control and Command Control,2007,32(7):108-110.[张锦春,裘杭萍,权冀川.变权评估中均衡函数的构造[J].火力与指挥控制,2007,32(7):108-110.]
[17]  Liu Wenqi.Balancing function and its application in variable weights theory[J].Systems Engineering Theory and Practice,1997,17(4):58-64.[刘文奇.均衡函数及其在变权综合中的应用[J].系统工程理论与实践,1997,17(4):58-64.]
[18] Xu Jiuping,Wu Wei.Multiple Attribute Decision Making Theory and Methods[M].Beijing:Tsinghua University Press,2006:72-83.[许玖平,吴巍.多属性决策的理论与方法[M].北京:清华大学出版社,2006:72-83.]
 
Outlines

/