• DocumentCode
    237556
  • Title

    Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line

  • Author

    Brundage, Michael P. ; Qing Chang ; Yang Li ; Arinez, Jorge ; Guoxian Xiao

  • Author_Institution
    Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    461
  • Lastpage
    466
  • Abstract
    Understanding the energy dynamics of a manufacturing system is pertinent in minimizing energy usage on the production line. Utilizing this analysis of the complex system dynamics will identify inefficiencies on the production line. This paper expands upon previous research to incorporate the warmup time of each machine in the analysis of the dynamic system. This will help establish an energy baseline, which is the least amount of energy needed to create a certain number of parts. This leads to the identification of the energy profit bottleneck, which is the machine that causes the biggest loss in profit on the line. The energy profit bottleneck is proven both analytically and numerically in Simulink/MATLAB. The energy opportunity window is utilized to minimize the overall energy consumption on the production line without negatively impacting the production count.
  • Keywords
    energy conservation; energy consumption; manufacturing systems; profitability; Simulink/MATLAB; complex system dynamics; energy baseline; energy consumption reduction; energy dynamics; energy opportunity windows; energy profit bottlenecks; energy usage; manufacturing industry; manufacturing system; production count; serial production line; Electricity; Energy consumption; Maintenance engineering; Manufacturing; Mathematical model; Production; Schedules; Energy Indicators; Energy Opportunity Windows; Energy Profit Bottleneck;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/CoASE.2014.6899366
  • Filename
    6899366