• DocumentCode
    1911996
  • Title

    New Information Grey Multi-Variable Optimizating Model NMGM(1,n,q,r) for the Relationship of Cost and Variability

  • Author

    Luo, Youxin ; Xiao, WeiYue

  • Author_Institution
    Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
  • Volume
    2
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    120
  • Lastpage
    123
  • Abstract
    The relationship between two factors of variety and the cost of manufacturing system was studied on the basis of the variety reduction program VRP theory. Based on the Grey system and the new information principle, taking the mean relative error as objective function and taking the modified nth component of each variable as initial value of response function and finding the optimum background value coefficient q and modified value of initial value of response function by optimizing, new information multi-variable optimization Grey model NMGM (1,n,q,r) of the cost- variability function in manufacturing system was put forward which is used to check validity for the relation of plasm-yarn machine product and variety. Calculation results show that this method is very effective to data processing which has high precision and easy to use. The method has wide applications in various engineering fields.
  • Keywords
    costing; grey systems; manufacturing systems; optimisation; manufacturing system cost; manufacturing system variability; new information grey multivariable optimization model; plasm-yarn machine product; response function; variety reduction program; Art; Cost function; Data processing; Differential equations; Educational institutions; Manufacturing systems; Mechanical engineering; Optimization methods; Predictive models; System testing; Cost and Variability; Grey system; NMGM(1; data processing; n; new information principle; q; r) Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.266
  • Filename
    5288284