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Manufacturing projects cash-flow dynamics and risk management

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A project portfolio is referred to as an optimal combination of specified projects to best achieve defined goals of an enterprise. The goals may imply either economic and business strategies, or technical strategies. This paper presents an idea of project portfolio management in intelligent decision support systems (IDSS), which emphasizes on the problem of resource allocation, in particular cash. A rational way of distributing cash among different projects is modeled. We propose a concept of cash-flow dynamics module, which can be plugged into IDSS. The IDSS allows project managers to make decisions regarding the order of priority for projects' launching times based on risk and profitability of projects. This paper describes how this module can support cash-flow management processes, from budgeting for future periods to tracking real-time cash flow. Based on an analogy between cash-flow processes and physical flow of fluid, a cash-flow dynamics model is introduced. The theory of Bernoulli principle for cash-flow planning and tracking is applied.
Rocznik
Strony
91--102
Opis fizyczny
Bibliogr. 12 poz., tab., rys.
Twórcy
  • Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia
  • Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia
autor
  • Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia
autor
  • University of Central Florida, Orlando, FL 32816, USA
Bibliografia
  • 1. BAROUM S.M., PATTERSON J.H., The development of cash flow weight procedures for maximizing the net present value of a project. Journal of Operations Management, Volume 14, Number 3, September 1996.
  • 2. KAKA A. P., PRICE A. D. F., Modeling standard cost commitment curves for contractors' cash flow forecasting Construction Management and Economics, Volume 11, Issue 4 July 1993.
  • 3. BARBOSAP., PIMENTEL P., A linear programming model for cash flow management in the Brazilian construction industry. Construction Management and Economics (2001) 19, 2001, 469-479.
  • 4. KRAMARENKO S., SHEVTSHENKO E., KARAULOVA T., WANG Y., Decision Analysis in Project Management Process. Journal of the Machine Engineering, Wroclaw, Poland v.8, No.1, 2008.
  • 5. ENGWALL M., JERBRANT A., The resource allocation syndrome: the prime challenge of multi-project management.2003 International Journal of Project Management, Volume 21, Issue 6, 2003.
  • 6. HENDRICKSON C., Project Management For Construction Fundamental Concepts For Owners, Engineers, Architects And Builders Prentice Hall, ISBN 0-13-731266-0, 1989.
  • 7. PMBOK., A Guide to the Project Management Body of Knowledge Third Edition an American National Standard ANSI/PMI 99-001-2004.
  • 8. CORNELIS A. LOS., Measuring financial cash flow and term structure dynamics,2001.
  • 9. FLAIG J., Improving Project Selection Using Expected Net Present Value Analysis (2005). Quality Engineering, Taylor & Francis Inc. ISSN: 0898-2112.
  • 10. BLANCHARD B. S., FABRYCKY W. J., Systems Engineering and Analysis. Englewood Cliffs, NJ: Prentice-Hall, 1990.
  • 11. BRIGHAM E., GAPENSKI L., EHRHARDT M., Financial management: theory and practice, 9th Ed. The Dryden Press,1999.
  • 12. MUNSON B., YOUNG D., OKIISHI T., Fundamentals of fluid mechanics, 3rd Ed., Wiley, ISBN 0471170240, 1998.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-93efe004-3458-4fac-9276-c220ad5df08a
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