• DocumentCode
    2856880
  • Title

    Determining economic manufacturing quantity, the optimum process parameters based on Taguchi quadratic quality loss function under rectifying inspection plan

  • Author

    Raj, Ismail Al-Me ; Cinar, Yahya ; Duffuaa, S.O.

  • Author_Institution
    Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    1348
  • Lastpage
    1353
  • Abstract
    The problem of determining the optimal economic manufacturing quantity and the optimal process parameters is an important problem in production and quality control. This problem has been addressed by Chen and Lai using profit maximization as a criterion to obtain the optimal manufacturing quantity and the mean of the process. In this paper Chen and Lai has been extended to determine the optimal manufacturing quantity, the mean and the variance of the process and the specification limits using rectifying inspection. The simulated annealing approach has been applied to obtain the optimal solution. The utility of the model is demonstrated via a realistic example. The model developed can be utilized to determine the optimal economic manufacturing quantity and process target simultaneously and is expected to provide more insights in managing this important problem.
  • Keywords
    Taguchi methods; industrial economics; inspection; production planning; profitability; simulated annealing; Taguchi quadratic quality loss function; optimal economic manufacturing quantity; optimal manufacturing quantity; optimal process parameters; optimum process parameters; production; profit maximization; quality control; rectifying inspection plan; simulated annealing approach; specification limits; Economics; Inspection; Manufacturing; Mathematical model; Process control; Production; Simulated annealing; Economic manufacturing quantity; Process variance; asymmetric quadratic quality loss function; rectifying inspection plan; simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118136
  • Filename
    6118136