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Information Journal Paper

Title

AN ITERATIVE METHOD FOR FORECASTING MOST PROBABLE POINT OF STOCHASTIC DEMAND

Pages

  1-9

Abstract

 The DEMAND FORECASTING is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand UNCERTAINTY. But this paper presents an iterative method to find most probable stochastic demand point with normally distributed and independent variables of n-dimensional space and the demand space is a nonlinear function. So this point is compatible with both external conditions and historical data and it is the shortest distance from origin to the approximated demand-state surface. Another advantage of this paper is considering n-dimensional and nonlinear (nth degree) demand function. Numerical results proved this procedure is convergent and running time is reasonable.

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    Cite

    APA: Copy

    BEHNAMIAN, J., FATEMI GHOMI, S.M.T., KARIMI, B., & FADAEI MOLUDI, M.. (2014). AN ITERATIVE METHOD FOR FORECASTING MOST PROBABLE POINT OF STOCHASTIC DEMAND. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 10(2), 1-9. SID. https://sid.ir/paper/309971/en

    Vancouver: Copy

    BEHNAMIAN J., FATEMI GHOMI S.M.T., KARIMI B., FADAEI MOLUDI M.. AN ITERATIVE METHOD FOR FORECASTING MOST PROBABLE POINT OF STOCHASTIC DEMAND. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2014;10(2):1-9. Available from: https://sid.ir/paper/309971/en

    IEEE: Copy

    J. BEHNAMIAN, S.M.T. FATEMI GHOMI, B. KARIMI, and M. FADAEI MOLUDI, “AN ITERATIVE METHOD FOR FORECASTING MOST PROBABLE POINT OF STOCHASTIC DEMAND,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 10, no. 2, pp. 1–9, 2014, [Online]. Available: https://sid.ir/paper/309971/en

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