How to cite this paper
Sahu, P & Kumar, R. (2013). Survey of Demand fluctuation of Dairy products at raipur Dugdh Sangh, Chhattisgarh, India for selection of appropriate forecasting.Uncertain Supply Chain Management, 1(3), 133-144.
Refrences
Alfares, H. K., & Nazeeruddin, M. (2002). Electric load forecasting: literature survey and classification of methods. International Journal of Systems Science,33(1), 23-34.
Armstrong, J. S., & Collopy, F. (1992). Error measures for generalizing about forecasting methods: Empirical comparisons. International Journal of Forecasting, 8(1), 69-80.
Bratu, M. (2012). The accuracy of unemployment rate forecasts In Romania and the actual economic crisis. Scientific Bulletin-Economic Sciences, 11(2), 56-67.
Cacatto, C., Belfiore, P., & Vieira, J.G.V. (2012). Forecasting practices in Brazilian food industry. Journal of logistics management, 1(4), 24-36.
Chary, S. N. (2009). Production and operations management. Tata McGraw-Hill Education.
Chen, R. J., Bloomfield, P., & Fu, J. S. (2003). An evaluation of alternative forecasting methods to recreation visitation. Journal of Leisure Research, 35(4), 441-454.
Chen, R. J., Bloomfield, P., & Cubbage, F. W. (2008). Comparing forecasting models in tourism. Journal of Hospitality & Tourism Research, 32(1), 3-21.
Chopra, S., & Meindl, P. (2010). Supply Chain Management Strategy, Planning and Operation. Pearson, 4th Ed, India.
Feridun, M. (2005). Forecasting inflation in developing economies: The case of Nigeria. International Journal of Applied Econometrics and Quantitative Studies, 2(4), 103-132.
Floros, C. (2005). Forecasting the UK unemployment rate: model comparisons. International Journal of Applied Econometrics and Quantitative Studies, 2(4), 57-72.
Lim, P.Y., & Nayar, C.V. (2012). Solar irradiance and load demand forecasting based on single exponential smoothing method. IACSIT International Journal of Engineering and Technology, 4(4), 451-455.
Padhan, P. C. (2012). Use of univariate time series models for forecasting cement productions in India. International Research Journal of Finance and Economics, (83), 167-179.
Panneerselvam, R. (2009). Production and Operation Management. 2nd edition, PHI Learning Private Limited, New Delhi (India).
Patil, D. P., Shrotri, A. P., & Dandekar, A. R. (2013). Management of uncertainty in supply chain. International Journal of Emerging Technology and Advanced Engineering, 2(5), 303-308.
Paul, S.K. (2011). Determination of exponential smoothing constant to minimize mean square error and mean absolute deviation. Global Journal of Researches In Engineering, 11(3).
Ryu, K., & Sanchez, A. (2003). The evaluation of forecasting methods at an institutional foodservice dining facility. The Journal of Hospitality Financial Management, 11(1), 27-45.
Strasheim, J. J. (1992). Demand forecasting for motor vehicle spare parts. A Journal of Industrial Engineering, 6(2), 18-19.
Sharma, A.K., Gupta, A., & Sharma, U. (2013). Electricity forecasting of Jammu & Kashmir: A methodology comparison. International Journal of Electrical Engineering & Technology (IJEET), 4(2), 416-426.
West, C. T. (2003). The status of evaluating accuracy of regional forecasts. The Review of Regional Studies, 33(1), 85-103.
Armstrong, J. S., & Collopy, F. (1992). Error measures for generalizing about forecasting methods: Empirical comparisons. International Journal of Forecasting, 8(1), 69-80.
Bratu, M. (2012). The accuracy of unemployment rate forecasts In Romania and the actual economic crisis. Scientific Bulletin-Economic Sciences, 11(2), 56-67.
Cacatto, C., Belfiore, P., & Vieira, J.G.V. (2012). Forecasting practices in Brazilian food industry. Journal of logistics management, 1(4), 24-36.
Chary, S. N. (2009). Production and operations management. Tata McGraw-Hill Education.
Chen, R. J., Bloomfield, P., & Fu, J. S. (2003). An evaluation of alternative forecasting methods to recreation visitation. Journal of Leisure Research, 35(4), 441-454.
Chen, R. J., Bloomfield, P., & Cubbage, F. W. (2008). Comparing forecasting models in tourism. Journal of Hospitality & Tourism Research, 32(1), 3-21.
Chopra, S., & Meindl, P. (2010). Supply Chain Management Strategy, Planning and Operation. Pearson, 4th Ed, India.
Feridun, M. (2005). Forecasting inflation in developing economies: The case of Nigeria. International Journal of Applied Econometrics and Quantitative Studies, 2(4), 103-132.
Floros, C. (2005). Forecasting the UK unemployment rate: model comparisons. International Journal of Applied Econometrics and Quantitative Studies, 2(4), 57-72.
Lim, P.Y., & Nayar, C.V. (2012). Solar irradiance and load demand forecasting based on single exponential smoothing method. IACSIT International Journal of Engineering and Technology, 4(4), 451-455.
Padhan, P. C. (2012). Use of univariate time series models for forecasting cement productions in India. International Research Journal of Finance and Economics, (83), 167-179.
Panneerselvam, R. (2009). Production and Operation Management. 2nd edition, PHI Learning Private Limited, New Delhi (India).
Patil, D. P., Shrotri, A. P., & Dandekar, A. R. (2013). Management of uncertainty in supply chain. International Journal of Emerging Technology and Advanced Engineering, 2(5), 303-308.
Paul, S.K. (2011). Determination of exponential smoothing constant to minimize mean square error and mean absolute deviation. Global Journal of Researches In Engineering, 11(3).
Ryu, K., & Sanchez, A. (2003). The evaluation of forecasting methods at an institutional foodservice dining facility. The Journal of Hospitality Financial Management, 11(1), 27-45.
Strasheim, J. J. (1992). Demand forecasting for motor vehicle spare parts. A Journal of Industrial Engineering, 6(2), 18-19.
Sharma, A.K., Gupta, A., & Sharma, U. (2013). Electricity forecasting of Jammu & Kashmir: A methodology comparison. International Journal of Electrical Engineering & Technology (IJEET), 4(2), 416-426.
West, C. T. (2003). The status of evaluating accuracy of regional forecasts. The Review of Regional Studies, 33(1), 85-103.