Application of LCC techniques in selection of mining equipment and technology

被引:0
|
作者
Markeset, T [1 ]
Kumar, U [1 ]
机构
[1] Stavanger Univ Coll, Sch Sci & Technol, Stavanger, Norway
关键词
D O I
暂无
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
Emerging technologies are revealing unprecedented opportunities for deploying new and improved machines/equipment that are more cost effective. However, selection of such technologies demands careful engineering and economic analyses. Generally speaking, in many companies, purchasing decisions are made on the basis of past experiences and suppliers reputation without any application of engineering and economical optimization techniques. If management decides to invest money for the implementation of the capital intensive new and emerging technologies and systems, life cycle costing (LCC) techniques can provide tools for engineering and economic analyses. The LCC analysis is an engineering and economical optimization technique where the main goal is to identify and choose alternative that generates the highest revenue over lifetime or in other words generates the lower life cycle cost. LCC techniques have successfully been applied in many other capital-intensive industries to make optimal decision regarding investment in capital equipment. This is an expository paper for the mining industry discussing the application of LCC as an engineering and economical optimization method while selecting capital-intensive mining machines/equipment.
引用
收藏
页码:635 / 640
页数:6
相关论文
共 50 条
  • [11] High technology equipment and techniques
    Metals Industry News, 1994, 11 (05):
  • [12] Permanent magnet driving technology and its application status in the field of mining equipment
    Zhang L.
    Bao J.
    Ge S.
    Yang X.
    Yin Y.
    Bao Z.
    Meitan Kexue Jishu/Coal Science and Technology (Peking), 2022, 50 (03): : 275 - 285
  • [13] Application Research of Digital Intelligence Technology in Mining Electric Power Equipment Fault Cases: Taking Text Mining Technology as an Example
    Xu, Hao
    Ge, Linlin
    Zhang, Yan
    Fang, Jiuzhou
    Liu, Pengchen
    Kang, Zhengyuan
    BIG DATA AND SECURITY, ICBDS 2023, PT I, 2024, 2099 : 194 - 210
  • [14] Review on Data Mining Technology Application in Sport Techniques and Tactics Analysis
    Hu, Jiang
    ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING, 2012, 19 : 468 - 470
  • [15] Application status and development thinking of intelligent mining technology and equipment in coal mines in China
    Yuan, Zhi
    Jiang, Qingyou
    Pang, Zhenzhong
    Meitan Kexue Jishu/Coal Science and Technology (Peking), 2024, 52 (09): : 188 - 197
  • [16] Application of an MCDM model with data mining techniques for green supplier evaluation and selection
    Liou, James J. H.
    Chang, Mu-Hsin
    Lo, Huai-Wei
    Hsu, Min-Hsi
    APPLIED SOFT COMPUTING, 2021, 109
  • [17] Advances in mining safety theory, technology, and equipment
    He, Shengquan
    He, Xueqiu
    Mitri, Hani
    Meng, Shangjiu
    Wu, Qiang
    Ren, Tingxiang
    Liu, Shimin
    ADVANCES IN GEO-ENERGY RESEARCH, 2023, 10 (02): : 71 - 76
  • [18] Progress and prospects of mining disaster prevention techniques and equipment
    He, Shengquan
    Zhao, Dan
    Gao, Na
    Nie, Wen
    Tong, Linquan
    Wang, Chao
    ADVANCES IN GEO-ENERGY RESEARCH, 2024, 13 (03): : 166 - 168
  • [19] EQUIPMENT SELECTION FOR WESTERN COAL MINING - WHAT PRICE
    NICHOLS, J
    CIM BULLETIN, 1984, 77 (863): : 70 - 70
  • [20] AN EVALUATION OF EQUIPMENT SELECTION FOR OPEN-PIT MINING
    JOLLEY, DR
    CANADIAN MINING AND METALLURGICAL BULLETIN, 1970, 63 (695): : 297 - &