An Energy Efficiency Evaluation Scheme for Manufacturing Facility

被引:0
|
作者
Jeong, Sangjin [1 ]
Kim, Yong-Woon [1 ]
机构
[1] ETRI, Protocol Engn Ctr, Daejeon, South Korea
关键词
smart factory; manufacturing facility; mow efficiency; key performance indicator; metric; spider web chart;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid increase in energy consumption of manufacturing industries accelerates the development of metrics for measuring manufacturing facility energy efficiency. In response to this demand, various metrics such as cost, delivery, energy efficiency, quality, flexibility, etc. for nteasuring the efficiency of manufacturing facility are under development. However, since multiple efficiency' metrics are under development, it becomes necessary to develop simple and effective method for assessing manufacturing facility energy efficiency by using multiple metrics. Currently, spider web chart and control chart that extends the capability of spider web chart are contmonly used in various industries in order to effectively analyze the efficiency. The spider web chart and control chart method provide an easy' comparison of holistic energy efficiency' among multiple manufacturing facility' or temporal trend. But, it is known that those methods have limitations such as equal weights on metrics and no overall evaluation. In order to resolve the limitations, we propose a weighted spider web chart model. The ntain objective of this paper is to present the general weighted spider web chart model and investigate the usefulness and applicability of the proposed weighted spider web chart model through the strength -weakness -opportunity -threat (SWOT) analysis.
引用
收藏
页码:412 / 415
页数:4
相关论文
共 50 条
  • [1] SLA Oriented Energy Efficiency Evaluation of Manufacturing Service
    Xiang F.
    Huang Y.
    Zuo Y.
    Tao F.
    2018, Chinese Mechanical Engineering Society (29): : 2401 - 2407
  • [2] Energy-Technical Description of manufacturing Processes for Evaluation of Energy Efficiency
    Christiansen, L.
    Linnenberg, T.
    Fay, A.
    Seitz, C.
    Mueller, A. W.
    AUTOMATION 2013, 2013, 2209 : 175 - 178
  • [3] Manufacturing Energy Efficiency
    Gulledge, Charles E., III
    Conyers, Rich S.
    Poe, Bradley M.
    Kirby, Charles M.
    ASHRAE JOURNAL, 2015, 57 (07) : 40 - 47
  • [4] Evaluation of research performed on energy efficiency in energy-intensive manufacturing companies
    Knayer, Tobias
    Kryvinska, Natalia
    Frontiers in Energy Research, 2022, 10
  • [5] Evaluation of research performed on energy efficiency in energy-intensive manufacturing companies
    Knayer, Tobias
    Kryvinska, Natalia
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [6] A comprehensive evaluation method for an energy station planning scheme incorporating energy efficiency, energy quality, and carbon efficiency
    Dou, Zhenlan
    Zhang, Chunyan
    Zhou, Tianshuo
    Wang, Dan
    Zhang, Shuai
    Chen, Hongyin
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2025, 53 (02): : 100 - 111
  • [7] Energy policies for increased industrial energy efficiency: Evaluation of a local energy programme for manufacturing SMEs
    Thollander, Patrik
    Danestig, Maria
    Rohdin, Patrik
    ENERGY POLICY, 2007, 35 (11) : 5774 - 5783
  • [8] Energy efficiency evaluation of manufacturing systems by considering relevant influencing factors
    Flick, Dominik
    Ji, Li
    Dehning, Patrick
    Thiede, Sebastian
    Herrmann, Christoph
    MANUFACTURING SYSTEMS 4.0, 2017, 63 : 586 - 591
  • [9] Evaluation of the health impact of England's home energy efficiency scheme
    Wilkinson, P
    Green, G
    Critchley, R
    Oreszczyn, T
    Gilbertson, J
    Grimsley, M
    Landon, M
    Armstrong, B
    EPIDEMIOLOGY, 2002, 13 (04) : S130 - S130
  • [10] A flow direction weighting scheme for facility layout in cellular manufacturing
    Davies, Alan
    John, Elwyn
    Thomas, Andrew
    INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2013, 62 (02) : 185 - 203