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2009 | 8 | 1 | 19-48

Article title

Corporate Model of the Algerian National Marble Company

Title variants

Languages of publication

EN

Abstracts

EN
In today's dynamic and competitive environment, planning for effective use of the company resources requires an analytical and integrated approach of its essential functions. With such goal in mind, the corporate planning model, in which the modules of production and marketing are related to the financial module, presents a very efficient solution. It is particularly well suited for the needs of Algerian companies operating in an environment that has undergone a transformation from planned economy to market economy where risks and uncertainties are ubiquitous. Furthermore, Algerian companies should take account of the importance of strategic planning and forecasting where, in that context, the corporate planning model provides a powerful tool for decision-making. This work provides a corporate planning model specified for the Algerian National Marble Company. The presented model has been devised and validated from the company data to generate physical and financial short-term forecasts. The obtained empirical results show the usefulness of such a model for the managers in terms of providing a precise model of the essential functions of the company, helping to evaluate the consequences of different management scenarios and assisting in the decision-making process. Furthermore, using prospective simulations, the presented model can be used as a tool for forecasting.

Publisher

Year

Volume

8

Issue

1

Pages

19-48

Physical description

Dates

published
2009-01-01
online
2009-11-20

Contributors

  • Industrial Engineering Department, National Polytechnic School, 10, avenue Hassan Badi, El-Harrach, Algiers (21000), Algeria
  • Industrial Engineering Department, National Polytechnic School, 10, avenue Hassan Badi, El-Harrach, Algiers (21000), Algeria

References

  • Bhutta, K. S., Huq, F., Frazier, G. & Mohamed, Z. (2003). An Integrated Location, Production, Distribution and Investment Model for a Multinational Corporation. International Journal of Production Economics, 86, 201-216.[Crossref]
  • Carter, E. E. (1973). A Simultaneous Equation Approach to Financial Planning: Comment. The Journal of Finance, 28, 1035-38.[Crossref]
  • Clarke, S. & Tobias, A. M. (1995). Complexity in Corporate Modelling: a Review. Business History, 37 (2), 17-44.[Crossref]
  • Clarkson, G.PE. (1962). Portfolio Selection: A Simulation of Trust Investment. New Jersey: Prentice-Hall Inc.
  • Dickens, J.H & Frazier, G. D. (1970). Linear Programming in Corporate Simulation. Washington, DC.
  • Dinkel, J. J. & Fuerst, W. L. (1986). Corporate Planning Optimization Models: Integrative Aspects and Microcomputers. Infor Journal, 24 (2), 101-115.
  • Gershefski, G. W. (1969). Building a Corporate Financial Model. Harvard Business Review, 47, 61-72.
  • Grinyer, P. D. & Wooller, J. (1975). Corporate Models Today - a New Tool for Financial Management. London.
  • Hammond, J. S. (1974). Do's and Don'ts of Computer Models for Planning. Harvard Business Review, 52, 110-123.
  • Hertz, D. (1964). Risk Analysis in Capital Budgeting. Harvard Business Review, XLII, 95-106.
  • Hillier, F. (1963). Derivation of Probabilistic Information for the Evaluation of Risky Investments. Management Science, 9, 443-57.[Crossref]
  • Kaye, R. K. (1994). Financial Planning Models. London: Academic Press.
  • Kingston, P. L. (1977). Anatomy of a Financial Model. Management Planning, 26, 1-7.
  • Kirca, O. & Koksalan, M. (1996). An Integrated Production and Financial Planning Model and an Application. II Transactions, 19(8), 765-784.
  • Kivijarvi, H. & Tuominen, M. (1987). Corporate Wide Information Requirements Analysis and Financial, Marketing and Production Planning. Engineering Costs and Production Economics, 12, 346.
  • Kivijarvi, H. & Tuominen, M. (1989). Computer-Based Multi-Attribute Simulation of Production and Financial Strategies. Engineering Costs and Production Economics, 17, 33l-341.
  • Kivijarvi, H. & Tuominen, M. (1997). Decision Aid in Strategic Planning and Analysis of Wood-pressing Company. Computers Industrial Engineering, 31(1/2), 467-470.
  • Lotz, S. C. & Yen, D. (1992). A Telecommunications Strategic Planning Model. International Journal of Information Management, 12, 272-286.[Crossref]
  • Mattessich, R. (1961). Budgeting Models and Systems Simulation. Accounting Review, 36, 384-97.
  • Mohamed, Z. M. (1999). An Integrated Production-Distribution Model for a Multi-national Company Operating under Varying Exchange Rates. International Journal of Production Economics, 58, 81-92.[Crossref]
  • Mulvey, M. & Shetty, B. (2004). Financial Planning via Multi-stage Stochastic Optimization. Computers & Operations Research, 31, 1-20.[Crossref]
  • Naylor, T. H. (1971). Computer Simulation Experiments with Models of Economic Systems. USA: John Wiley and Sons, Inc.
  • Naylor, T. H. & Gattis, D. R. (1976). Corporate Planning Models. California Management Review, 18, 69-78.[Crossref]
  • Power, P. D. (1975). Computers and Financial Planning. Long Range Planning, 8, 53-59.[Crossref]
  • Shim, J. K. & McGlade, R. (1984). The Use of Corporate Planning Models: Past, Present and Future. Journal of the Operational Research Society, 35, 85-893.
  • Shim, J. K. & Siegel, J. G. (2001). Handbook of Financial Analysis, Forecasting and Modeling. USA: Prentice Hall Press.
  • Shim, J. K., Siegel, J. G. & Hartman, S. W. (1998). Schaum's Quick Guide to Business Formulas: 201 Decision Making Tools for Business, Finance and Accounting Students. USA: Net Library Inc.
  • Tarrazo, M. & Gutierrez, L. (2000). Theory and Methodology Economic Expectations, Fuzzy Sets and Financial Planning. European Journal of Operational Research, 126, 89-105.[Crossref]

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_v10031-009-0027-1
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