A New Model for Production Forecasting in ERP

Authors: S. F. Wong, W. I. Ho, B. Lin, Q. Huang

Abstract:

ERP has been used in many enterprises for management, the accuracy of the production forecasting module is vital to the decision making of the enterprise, and the profit is affected directly. Therefore, enhancing the accuracy of the production forecasting module can also increase the efficiency and profitability. To deal with a lot of data, a suitable, reliable and accurate statistics model is necessary. LSSVM and Grey System are two main models to be studied in this paper, and a case study is used to demonstrate how the combination model is effective to the result of forecasting.

Keywords: ERP, Grey System, LSSVM, production forecasting.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091788

References:

[1] Z.W. LIU, X.Y. WANG, "Research on Water Bloom Prediction Based on Least Squares Support Vector Machine”, WRI World Congress on Computer Science and Information Engineering, Vol. 5, pp. 764-768, 2009.
[2] V. Vapnik, "The nature of statistical learning theory”, New York: Springer-Verlag, 1995.
[3] A.J. Smola, B. Scholkopf, "A Tutorial on Support Vector Regression”, Statistics and Computing, Vol. 14, No. 3, pp. 199-222, 2003.
[4] H.F. Wang, E.J. Hu, "Comparison of SVM and LS-SVM for regression”, International Conference on Neural Networks and Brain (ICNN&B), Vol. 1, pp.279-283, 2005.
[5] J.A.K. Suykens, "Nonlinear Modeling and Support Vector Machines”, IEEE Instrumentation and Measurement Technology Conference, Budapest, 2001.
[6] J.A.K. Suykens, L. Lukas, J. Vandewalle, "Sparse approximation using least squares support vector machines”, IEEE International Symposium on Circuits and Systems, Vol. 2, pp. 757-760, 2000.
[7] J.A.K. Suykens, J. D. Brabanter, L. Lukas, J. Vandewalle, "Weighted least squares support vector machines: robustness and sparse approximation”, Neurocomputing, Vol. 48, pp. 85-105, 2002.
[8] B. Ustun, "A comparison of support vector machines and partial least squares regression on spectral data”, Magisterial dissertation, University of Nijmegen, 2003.
[9] L.F. Wu, S.F. Liu, L.G. Yao, S.L. Yan, D.L. Liu, "Grey system model with the fractional order accumulation”, Communications in Nonlinear Science and Numerical Simulation, Vol. 18, no. 7, pp. 1775-1785, 2013.