DOI QR코드

DOI QR Code

Contingency and Management Reserves Estimation Method for Project Budget

프로젝트 예비비 편성 방법에 관한 연구

  • Kwon, Hyukchun (Department of Industrial and Management Engineering, Hanyang University) ;
  • Kang, Changwook (Department of Industrial and Management Engineering, Hanyang University)
  • 권혁천 (한양대학교 ERICA Campus 산업경영공학과) ;
  • 강창욱 (한양대학교 ERICA Campus 산업경영공학과)
  • Received : 2015.12.02
  • Accepted : 2016.02.03
  • Published : 2016.03.31

Abstract

Many organizations have transformed their business in order to survive and compete in the future. They generate projects by creating a vision, using strategies and objectives with funds aligning strategies and make efforts to complete them successfully because project success leads to business success. All projects have triple constraints such as scope, time, and cost to be completed. Project cost performance is a key factor to achieve project goals and which is mostly related with risks among various cost drivers. Projects require a cost estimation method to complete them within their budget and on time. An accurate budget cannot be estimated due to the uncertainties and risks. Thus some additional money should be funded in addition to the base budget as a contingency reserve for identified risks and a management reserve for unidentified risks. While research on contingency reserve for identified risks included in project budget baseline have been presented, research on management reserve for unidentified risks included in total project budget is still scarce. The lack of research on estimation method and role of the management reserve have made project managers little confidence to estimate project budget accurately with reasonable basis. This study proposes a practical model to estimate budgets including contingency and management reserves for not only project cost management but also to keep the balance of organization's total funds to maximize return on investments for project portfolio management. The advantages of the proposed model are demonstrated by its application to construction projects in Korea and the processes to apply this model for verification are also provided.

Keywords

References

  1. Baccarini, D., The Maturing Concept of Estimating Project Cost Contingency-A review, Curtin University Library, 2006.
  2. Barraza, G.A. and Bueno, R.A., Cost Contingency Management, Journal of Management in Engineering, 2007, Vol. 23, No. 3, pp. 140-146. https://doi.org/10.1061/(ASCE)0742-597X(2007)23:3(140)
  3. Book, S.A., Allocating Risk Dollars Back to Individual Cost elements, 2007.
  4. Carr, R.I., Cost-estimating principles, Journal of Construction Engineering Management, 1989, Vol. 115, No. 4, pp. 545-551. https://doi.org/10.1061/(ASCE)0733-9364(1989)115:4(545)
  5. Carr, V. and Tah, J.H.M., A fuzzy approach to construction project risk assessment and analysis, Advances in Engineering Software, 2001, Vol. 32, No. 10-11, pp. 847-857. https://doi.org/10.1016/S0965-9978(01)00036-9
  6. Chapman, C., Project Risk Management the required transformations to become project uncertainty management, PMI Research Conference, 2-4th June, Paris, PMI, 2000.
  7. Chenyun and Zichun, Y., The BP Artificial Neural Network Model on Expressway Construction Phase Risk, Systems Engineering Procedia, 2012, Vol. 4, pp. 409-415. https://doi.org/10.1016/j.sepro.2012.01.004
  8. Clark, D.E., Monte Carlo Analysis : Ten years of Experience, Cost Engineering, 2001, Vol. 43, No. 6, pp. 40-45.
  9. Dikmen, I., Birgonul, M.T., and Han, S., Using fuzzy risk assessment to rate cost overrun risk in international construction projects, International Journal of Project Management, 2007, Vol. 25, No. 5, pp. 494-505. https://doi.org/10.1016/j.ijproman.2006.12.002
  10. Eldosouky, A.A., Ibrahim, A.H., and Mohammed, H.E. Management of Construction Cost Contingency covering upside and downside risks, Alexandria Engineering Journal, 2014, Vol. 53, No. 4, pp. 863-881. https://doi.org/10.1016/j.aej.2014.09.008
  11. Flyvbjerg, B.H., Skamris, M., and Buhl, S., Understanding Costs in Public Works projects : Error or Lie?, Journal of the American Planning Association, 2002, Vol. 68, No. 3, pp. 279-295. https://doi.org/10.1080/01944360208976273
  12. Garvey, P.R., A Scenario-Based Method for Cost Risk Analysis, Journal of Cost Analysis and Parametrics, 2008, Vol. 1, No. 1, pp. 65-76. https://doi.org/10.1080/1941658X.2008.10462211
  13. Hillson, D., Developing effective risk responses, PMI annual Seminar and Symposium, 10-16th October, Philadelphia, PMI, 1999.
  14. Idrus, A., Nuruddin, M.F., and Rohman, M.A., Development of project cost contingency estimation model using risk analysis and fuzzy expert system, Expert Systems with Applications, 2011, Vol. 38, No. 3, pp. 1501-1508. https://doi.org/10.1016/j.eswa.2010.07.061
  15. Kim, G.H., Kang, K.I., and An, S.H., Comparison of Construction Cost Estimating Models based on Regression Analysis, Neural Networks, and Case-based reasoning, Building and Environment, 2004, Vol. 34, No. 2, pp. 34-47.
  16. Kim, J., Kang, C., and Hwang, I., Considering Claim Costs in Project Time-Cost Mixed Integer programming Model, Journal of the Society of Korea Industrial and Syatems Engineering, 2011, Vol. 34, No. 3, pp. 97-105.
  17. Lee, M.K., Jung, H.S., and Lee, D.W., A Case Study of Six Sigma Project for Reducing the Project Costs through Project Risk Management, International Journal of Quality Innovation, 2005, Vol. 33, No. 3, pp. 135-148.
  18. Moshelhi, O., Risk Assessment and Contingency Estimating, AACE Transactions Dallas, 1997, D&RM/A.06, pp. 90-95.
  19. NASA, 2008-NASA-Cost-Handbook-FINAL_v6[1].pdf, 2008.
  20. Oberlender, G.D. and Trost, S.M., Predicting accuracy of early cost estimates based on estimate quality, Journal of Construction Engineering Management, 2001, Vol. 127, No. 3, pp. 173-182. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:3(173)
  21. PMI(Project Management Institute), PMBOK Guide 5th, 2013.
  22. Sato, T. and Hirao, M., Optimum budget allocation method for projects with critical risks, International Journal of Project Management, 2013, Vol. 31, No. 1, pp. 126-135. https://doi.org/10.1016/j.ijproman.2012.04.002
  23. Smith Peter, Project Cost Management-Global Issues and Challenges, Social and Behavior Sciences, 2002, Vol. 119, pp. 485-494.
  24. Thomson, P.A. and Perry, J.G., Engineering Construction Risks, London : Thomas Telford, 1992.
  25. Uzzafer, M., A contingency estimation model for software projects, International Journal of Project Management, 2013, Vol. 31, No. 7, pp. 981-993. https://doi.org/10.1016/j.ijproman.2012.12.002
  26. Xenidis, Y. and Stavrakas, E., Risk Based Budgeting of Infrastructure Projects, Social and Behavior Sciences, 2013, Vol. 74, pp. 478-487.
  27. Zhu, B., Zhang, H., and Wang, X., Analysis and Evaluation of Project Cost Risk Based on BP Algorithm, Systems Engineering Procedia, 2011, Vol. 1, pp. 264-270. https://doi.org/10.1016/j.sepro.2011.08.041