[Aboura, K., Sparks, R. & Welgama, P. (1994). CSIRO collaboration with ICI Explosives on development of a facilities planning system for AN explosives services to mining; Report on evaluation of Yarwun alternatives. CSIRO. (Confidential Report No. DMS-D 95/65).]Search in Google Scholar
[Aboura, K., Sparks, R. & Welgama, P. (1995a). CSIRO collaboration with ICI Explosives on the ammonium nitrate inventory and distribution study. CSIRO. (Confidential Report No. DMS-D 95/88).]Search in Google Scholar
[Aboura, K., Sparks, R. & Welgama, P. (1995b). CSIRO collaboration with ICI Explosives on the Yarwun ammonium nitrate study. CSIRO. (Confidential Report No. DMS-D 95/66).]Search in Google Scholar
[Aboura, K., Eskandarian, A. & Lomita, D. (2001). Dynamic allocation of web advertising resources. Theoretica Inc. (Technical Report 2001).]Search in Google Scholar
[Cohen, M.A., Tekerian, A., Kamesam, P., Lee, H. & Kleindorfer, P. (1990). OPTIMIZER: IBM’s Multi-echelon inventory system for managing service logistics. Interfaces. 20(1), 65-82, http://dx.doi.org/10.1287/inte.20.1.6510.1287/inte.20.1.65]Search in Google Scholar
[Cox, D.R. & Miller, H.D. (1977). The Theory of Stochastic Processes. London: Chapman and Hall]Search in Google Scholar
[Fiacco, A.V. & McCormick, G.P. (1990). Nonlinear programming: Sequential unconstrained minimization technique. Philadelphia: Society for Industrial and Applied Mathematics.10.1137/1.9781611971316]Search in Google Scholar
[Forrester, J.W. (1961). Industrial dynamics. Cambridge, MA: MIT Press.]Search in Google Scholar
[Klee, V. & Minty, G.J. (1972). How good is the Simplex algorithm in inequalities. In Shisha, O. (Ed.), Inequalities, III (159-175). New York: Academic Press]Search in Google Scholar
[Kljajić M., Bernik I. & Škraba A. (2000). Simulation approach to decision assessment in enterprises. Simulation. 75(4), 199-210, http://dx.doi.org/10.1177/00375497000750040210.1177/003754970007500402]Search in Google Scholar
[Kljajić M., Bernik I., Škraba A. & Leskovar R. (2001). Integral simulation approach to decision assessment in enterprises, Shaping future with simulation. In the 4th International Eurosim 2001 Congress. Delft University of Technology.]Search in Google Scholar
[Kljajić M., Breskvar U. & Bernik I. (2002). Production Planning Using a Simulation Model and Genetic Algorithms. IASTED, Modelling and simulation. 54-58.]Search in Google Scholar
[Kljajić, M. & Kofjač, D. (2006). The virtual reality as an anticipative concept in warehouse optimization in uncertain environment. AIP Conf. Proc. 839, 314-321, http://dx.doi.org/10.1063/1.221664010.1063/1.2216640]Search in Google Scholar
[Kofjač, D. & Kljajić M. (2008). Application of genetic algorithms and visual simulation in a real-case production optimization. WSEAS Transactions on Systems and Control archive. 3(12), 992-1001.]Search in Google Scholar
[Rardin, R. L. (1998). Optimization in Operations Research. Upper Saddle River, New Jersey: Prentice-Hall, Inc.]Search in Google Scholar
[Ross, S. M. (2006). Simulation (4th edition). Burlington, MA: Elsevier Academic Press]Search in Google Scholar
[Saaty, T.L. (1990). Multicriteria decision making; The analytic hierarchy process. Pittsburgh, PA: RWS Publications]Search in Google Scholar
[Sherbrooke, C. (2004). Optimal inventory modeling of systems; Multi-echelon techniques. Boston: Kluwer Academic Publishers]Search in Google Scholar
[Welgama, P., Mills, R.G., Aboura, K., Struthers, A. & Tucker, D. (1996). Evaluating options to increase production of a copper smelter aisle: A simulation approach. Simulation. 67(4), 247-267, http://dx.doi.org/:10.1177/00375497960670040410.1177/003754979606700404]Search in Google Scholar