Synthetic cash flow model with singularity functions for unbalanced bidding scenarios

References

• Afshar, A. and Amiri, H. (2010) Risk-based approach to unbalanced bidding in construction projects. Engineering Optimization, 42(4), 369–85.
   Web of Science ®Google Scholar
• Arditi, D. and Chotibhongs, R. (2009) Detection and prevention of unbalanced bids. Construction Management and Economics, 27(8), 721–32.
   Google Scholar
• Ashley, D.B. and Teicholz, P.M. (1977) Pre-estimate cash flow analysis. Journal of the Construction Division, Proceedings of the American Society of Civil Engineers, 103(CO3), 369–79.
   Google Scholar
• Awwad, R. and Ioannou, P. (2012). A risk-sensitive markup decision model, in. Hastak, M., Kandil, A.A’ and Cai, H. (eds) Proceedings of the 2012 Construction Research Congress, West Lafayette, IN, 21–23 May, American Society of Civil Engineers, Reston, VA, pp. 199–208.
   Google Scholar
• Cattell, D.W. (1987) Item price loading, in Proceedings of the International Congress on Progress in Architecture, Construction and Engineering, Johannesburg, 21–23 July, Institute of South African Architects, Randburg, vol. II: session 3, 1–20.
   Google Scholar
• Cattell, D.W., Bowen, P.A. and Kaka, A.P. (2007) Review of unbalanced bidding models in construction. Journal of Construction Engineering and Management, 133(8), 562–73.
   Web of Science ®Google Scholar
• Cattell, D.W., Bowen, P.A. and Kaka, A.P. (2011) Proposed framework for applying cumulative prospect theory to an unbalanced bidding model. Journal of Construction Engineering and Management, 137(12), 1052–9.
   Web of Science ®Google Scholar
• Christodoulou, S.E. (2008) A bid-unbalancing method for lowering a contractor’s financial risk. Construction Management and Economics, 26(12), 1291–302.
   Google Scholar
• Code of Federal Regulations, 23 C.F.R. § 635.102 (DATE?) Definitions, available at http://goo.gl/rzBVLq (accessed 4 July 2014).
   Google Scholar
• Code of Federal Regulations, 23 C.F.R. § 635.114 (DATE?) Award of contract and concurrence in award, available at http://goo.gl/nZlumD (accessed 4 July 2014).
   Google Scholar
• Cui, Q., Hastak, M. and Halpin, D.W. (2010) Systems analysis of project cash flow management strategies. Construction Management and Economics, 28(4), 361–76.
   Google Scholar
• Diekmann, J.E., Mayer, R.H. and Stark, R.M. (1982) Coping with uncertainty in unit price contracting. Journal of the Construction Division, 108(CO3), 379–89.
   Google Scholar
• Elazouni, A.M. and Metwally, F.G. (2005) Finance-based scheduling: tool to maximize project profit using improved genetic algorithms. Journal of Construction Engineering and Management, 131(4), 400–12.
   Web of Science ®Google Scholar
• Friedman, L. (1956) A competitive-bidding strategy. Operations Research, 4(1), 104–112.
   Web of Science ®Google Scholar
• Gates, M. (1967) Bidding strategies and probabilities. Journal of the Construction Division, Proceedings of the American Society of Civil Engineers, 93(CO1), 75–107.
   Google Scholar
• Gransberg, D.D. and Riemer, C. (2009) Impact of inaccurate engineer’s estimated quantities on unit price contracts. Journal of Construction Engineering and Management, 135(11), 1138–45.
   Web of Science ®Google Scholar
• Green, S.D. (1989) Tendering: optimization and rationality. Construction Management and Economics, 7(1), 53–63.
   Google Scholar
• Halpin, D.W. and Woodhead, R. W. (1998) Construction Management, John Wiley & Sons, New York.
   Google Scholar
• Kenley, R. (2003) Financing Construction: Cash Flows and Cash Farming, Spon Press, New York.
   Google Scholar
• Khosrowshahi, F. (2000) Information visualization in aid of construction project cash flow management, in Banissi, E., Bannatyne, M., Chen, C., Khosrowshahi, F., Sarfraz, M. and Ursyn, A. (eds) Proceedings of the 4th International Conference on Information Visualization, London, 19–21 July, IEEE Computer Society, Washington, DC, pp. 583–8.
   Google Scholar
• Lucko, G. (2008) Productivity scheduling method compared to linear and repetitive project scheduling methods. Journal of Construction Engineering and Management, 134(9), 711–20.
   Web of Science ®Google Scholar
• Lucko, G. (2011) Optimizing cash flows for linear schedules modeled with singularity functions by simulated annealing. Journal of Construction Engineering and Management, 137(7), 523–35.
   Web of Science ®Google Scholar
• Lucko, G. (2013) Supporting financial decision-making based on time value of money with singularity functions in cash flow models. Construction Management and Economics, 31(3), 238–53.
   Google Scholar
• Lucko, G. and Su, Y. (2014) Singularity functions as new tool for integrated project management, in Hajdu, M. and Skibniewski, M. (eds) Proceedings of the 2014 Creative Construction Conference, Prague, 21–24 June, Szent István University, Budapest, pp. 414–20.
   Google Scholar
• Lucko, G., Vorster, M.C. and Anderson-Cook, C.M. (2007) Unknown element of owning costs – impact of residual value. Journal of Construction Engineering and Management, 133(1), 3–9.
   Web of Science ®Google Scholar
• Macaulay, W.H. (1919) Note on the deflection of beams. Messenger of Mathematics, 48(9), 129–30.
   Google Scholar
• Manzo, F.A. (1997) The impact of an unbalanced bid on the change order process. Paper, Greyhawk, Woodbury, NY, available at http://greyhawk.com/news-type/technical-papers (accessed 4 July 2014), supplement to Chapter 7: Unbalanced bids and avoiding disputes relating to them, in Sweeney, N.J. and Currie, O.A. (eds) 1997 Wiley Construction Law Update (Construction Law Library), Wiley Law Publications/John Wiley and Sons, New York, NY.
   Google Scholar
• O’Brien, J.J. and Plotnick, F. L. (2010) CPM in Construction Management, 7th edn, McGraw-Hill, New York City.
   Google Scholar
• Park, C.S. (2011) Contemporary Engineering Economics, 5th edn, Prentice Hall, Upper Saddle River, NJ.
   Google Scholar
• Stark, R.M. (1968) Unbalanced bidding models – theory. Journal of the Construction Division, Proceedings of the American Society of Civil Engineers, 94(CO2), 197–209.
   Google Scholar
• Su, Y. and Lucko, G. (2013) Novel use of singularity functions to model periodic phenomena in cash flow analysis, in Pasupathy, R., Kim, S.-H., Tolk, A., Hill, R. and Kuhl, M.E. (eds) Proceedings of the 2013 45th Winter Simulation Conference, Washington, DC, 8–11 December, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 3157–68.
   Google Scholar
• Su, Y. and Lucko, G. (2014) Unevenly distributed markup in cash flow modeling with singularity functions, in Ashuri, B. and Irizarry, J. (eds) Proceedings of the 2014 Construction Research Congress, Atlanta, GA, 19–21 May, American Society of Civil Engineers, Reston, VA, pp. 1438–47.
   Google Scholar
• Su, Y. and Lucko, G. (2014b) Synthetic cash flow model with singularity functions I: theory for periodic phenomena and time value of money. Journal of Construction Engineering and Management, forthcoming.
   Web of Science ®Google Scholar
• Su, Y. and Lucko, G. (2014c) Synthetic cash flow model with singularity functions II: analysis of feasible prompt payment discount scenarios. Journal of Construction Engineering and Management, forthcoming.
   Web of Science ®Google Scholar
• Tong, Y. and Lu, Y. (1992) Unbalanced bidding on contracts with variation trends in client-provided quantities. Construction Management and Economics, 10(1), 69–80.
   Google Scholar
• Wang, W.-C. (2004) Electronic-based procedure for managing unbalanced bids. Journal of Construction Engineering and Management, 130(3), 455–60.
   Web of Science ®Google Scholar
• Yuan, X.-X. (2011) A correlated bidding model for markup size decisions. Construction Management and Economics, 29(11), 1101–19.
   Google Scholar
• Yuan, X.-X. (2013) Has the dust settled? A revisit to the Friedman–Gates controversy, in Attalla, M. and Francis, A. (eds) Proceedings of the 2013 4th Construction Specialty Conference at the Canadian Society for Civil Engineering Annual Conference, Montréal, Québec, 29 May–1 June, Canadian Society for Civil Engineering, Montréal, Québec, pp. CON-058-1–CON-058-10.
   Google Scholar