SIGNIFICANCE OF ANTICIPATING DEMAND FOR THE INVENTORY MANAGEMENT PROCESS OF AN ENTERPRISE BY APPLYING THE MONTE CARLO SIMULATION
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Chen, H., & Hsieh Y. (2005). Incentive reward with organizational life cycle from competitive advantage viewpoint. Human System Management, 24 (4), 155-157.
Chopra, S., & Meindl, P. (2010). Supply Chain Management. New York: Pearson.
Coyle, J.J., Bardi, E.J., & Langley J.C.J. (2003). The Management of Business Logistics: A Supply Chain Perspective. Ohio: South-Western.
Hart, M. (2010). The Approaches to Independent Demand Forecasting in an Industrial Company. Ostrava: TU.
Hart, M., Lukoszava, X., & Kubikova J. (2012). Logistics System Management Based on Demand Forecasting, Management Global and Regional Supply Chain - Research and Concepts. Poznan: Publishing House of Poznan University of Technology.
Hart, M., Rasner, J., & Lukoszova X. (2012). Demand forecasting significance for contemporary process management of logistics systems. Zlin: Tomas Bata University.
Heck, G. (2009). Inventory Management. Hague: Delft University of Technology.
Koumanakos, D. (2008). The effect of inventory management on firm performance. International Journal of Productivity and Performance Management, 54 (5), 355-369.
Krueger, R. (2008). A Business Forecasting: A Practical, Comprehensive Resource for Managers and Practitioners. Washington: EDU.
Kurtanović, S. (2012). Promena računovodstvenih politika zaliha. Ekonomski pogledi , 3 (2012), 81.
Pandey, M. (2003). Finance Management. New Delhi: Vikas Publishing House.
Ramadhan, A.N., & Simatupang T.M. (2012). Determining Inventory Management Policy for Perishable Materials in Roemah Keboen Restaurant. Procedia - Social and Behavioral Science, 65 (2), 993.
Reid, R., & Sanders, N.R. (2007). Operations Management: an integrated approach. New York: John Wiley and Sons.
Swamidass, P. (2007). The effect of TPS on US manufacturing during 1981-1998; Inventor increased or decreased as a function of plant performance. International Journal of Production Research, 45 (2), 3763-3778.
Tom, P. &. (2016). Cadaver Kidney Demand Forecasting and Classification Modelling of Kidney Allocation - A Case Study. Procedia Technology, 25 (3), 1163-1164.
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