Investment Prediction Using Simulation
Commenced in January 2007
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Edition: International
Paper Count: 33104
Investment Prediction Using Simulation

Authors: Hussam Al-Shorman, Yosef Hasan Jbara

Abstract:

A business case is a proposal for an investment initiative to satisfy business and functional requirements. The business case provides the foundation for tactical decision making and technology risk management. It helps to clarify how the organization will use its resources in the best way by providing justification for investment of resources. This paper describes how simulation was used for business case benefits and return on investment for the procurement of 8 production machines. With investment costs of about 4.7 million dollars and annual operating costs of about 1.3 million, we needed to determine if the machines would provide enough cost savings and cost avoidance. We constructed a model of the existing factory environment consisting of 8 machines and subsequently, we conducted average day simulations with light and heavy volumes to facilitate planning decisions required to be documented and substantiated in the business case.

Keywords: Investment cost, business case, return on investment, simulation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075002

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References:


[1] Pidd, M. Computer Simulation in Management Science. Wiley, Chichester, 3d edition. 1992.
[2] Birtwistle, G. M. Discrete Event Modeling in SIMULA. Macmillan, London. 1979
[3] Steinman J. SPEEDES: A multiple synchronization environment for parallel discrete-event simulation. In International Journal in Computer Simulation (2):25 l- 286. 1992.
[4] Helsgaun, K, Discrete Event Simulation in Java, Writings on Computer Science, Roskilde University.2000.
[5] Ceric, V., and R. Paul. Diagrammatic representation of the conceptual model for discrete event systems. Mathematics and Computers in Simulation 34:317-324. 1992.
[6] Pritsker, A. A. B. Introduction to Simulation with SLAM. Wiley, New York. 1979.
[7] Schriber, T. J.. Simulation using Excel.Wiley, New York. 1974
[8] Schruben, L. 1983. Simulation modeling with event graphs. Communications of the ACM 26:957-963.
[9] J.W. Forrester, Industrial Dynamics, MIT Press, Cambridge Massachusetts, USA, 1962.
[10] Nicol, D.M. 1993. The cost of conservative synchronization in parallel discrete-event simulations.Journal of the ACM 40(2): 304- 333.
[11] Bonabeau,E,Agent-based modeling Methods and techniques for simulating human systems, PNAS 99 Suppl. 3:7280-7287, 2002