Construction contract management using value packaging systems

References

• Art Chaovalitwongse W, Wang W, Williams T, Chaovalitwongse P. 2012. Data mining framework to optimize the bid selection policy for competitively bid highway construction projects. J Constr Eng Manag. 138:277–286.
   Web of Science ®Google Scholar
• Budayan C, Dikmen I, Birgonul MT. 2015. Alignment of project management with business strategy in construction: evidence from the Turkish contractors. J Civ Eng Manag. 21:94–106.
   Web of Science ®Google Scholar
• [CII] Construction Industry Institute Research Team 272-2. 2011. Enhanced work packaging: design through workface execution. CII Information Publication, University of Texas at Austin (TX).
   Google Scholar
• [COAA] Construction Owners Association of Alberta. 2007. Workface planning model and implementation guide. Edmonton: Construction Owners Association of Alberta (COAA) publication.
   Google Scholar
• Cox A, Ireland P, Townsend M. 2006. Managing in construction supply chains and markets. London: Thomas Telford.
   Google Scholar
• Doloi H., 2012. Empirical analysis of traditional contracting and relationship agreements for procuring partners in construction projects. J Manag Eng. 29:224–235.
   Web of Science ®Google Scholar
• El-Abbasy M, Zayed T, Ahmed M, Alzraiee H, Abouhamad M. 2013. Contractor selection model for highway projects using integrated simulation and analytic network process. J Constr Eng Manag. 139:755–767.
   Web of Science ®Google Scholar
• Haas CT, O'Connor JT, Tucker RT, Eickmann JA, Fagerlund WR. 2000. Prefabrication and preassembly trends and effects on the construction workforce. Report No. 14. Austin (TX): Center for Construction Industry Studies.
   Google Scholar
• Han SH, Diekmann JE, Ock JH. 2005. Contractor's risk attitudes in the selection of international construction projects. J Constr Eng Manag. 131:283–292.
   Web of Science ®Google Scholar
• Hatush Z, Skitmore M. 1998. Contractor selection using multicriteria utility theory: an additive model. Building and Environment; 33(2–3):105–115.
   Web of Science ®Google Scholar
• Herbsman Z. 1997. Closure to ‘time is money: innovative contracting methods in highway construction’. J Constr Eng Manag. 123:99–99.
   Web of Science ®Google Scholar
• Holt GD. 1998. Which contractor selection methodology? Int J Proj Manag. 16:153–164.
   Google Scholar
• Ibrahim YM, Lukins TC, Zhang X, Trucco E, Kaka AP. 2009. Towards automated progress assessment of workpackage components in construction projects using computer vision. Adv Eng Informatics. 23:93–103.
   Web of Science ®Google Scholar
• Ioannou P, Awwad R. 2010. Below-average bidding method. J Constr Eng Manag. 136:936–946.
   Web of Science ®Google Scholar
• Jaselskis EJ, Ashley DB. 1991. Optimum allocation of project management resources for achieving success. J Constr Eng Manag ASCE. 117:321–340.
   Web of Science ®Google Scholar
• Kerzner HR. 2013. Project management: a systems approach to planning, scheduling, and controlling. New York (NY): John Wiley & Sons.
   Google Scholar
• Kim J, Ibbs C. 1995. Work-package–process model for piping construction. J Constr Eng Manag. 121:381–387.
   Web of Science ®Google Scholar
• Langford DA, Male S. 2001. Strategic management in construction. 2nd ed. London: Blackwell Science.
   Google Scholar
• Ledbetter WB. 1994. Quality performance on successful projects. J Constr Eng Manag. 120:25–31.
   Web of Science ®Google Scholar
• Lee A, Barrett P. 2006. Value in construction: an international study. Int J Constr Manag. 6:75–86.
   Google Scholar
• Machin G, Bloembergen P, Hartmann J, Sadli M, Yamada Y. 2007. A concerted international project to establish high temperature fixed points for primary thermometry. Int J Thermophysics. 28:1976–1982.
   Web of Science ®Google Scholar
• Miller J, Garvin M, Ibbs C, Mahoney S. 2000. Toward a New paradigm: simultaneous use of multiple project delivery methods. J Manag Eng. 16:58–67.
   Web of Science ®Google Scholar
• O'Connor JT, Gibson GE, Migliaccio GC. 2005. R1-2004 annual interim report. Report 0-4661-1 to Texas Department of Transportation. Austin (TX): CTR.
   Google Scholar
• Palaneeswaran E, Kumaraswamy MM. 1999. Dynamic contractor prequalification. In: Proceedings of the 15th Annual ARCOM Conference; 1999 Sep 15–17; vol. 2; Liverpool: Civil-Comp Ltd.
   Google Scholar
• Ravanshadnia M, Rajaie H, Abbasian HR. 2010. Hybrid fuzzy MADM project-selection model for diversified construction companies. Canadian J Civ Eng. 37:1082–1093.
   Web of Science ®Google Scholar
• Russell JS, Hanna AS, Anderson SD, Wiseley PW, Smith RJ. 1999. The warranty alternative. Civ Eng. 69:60–63.
   Web of Science ®Google Scholar
• Sadeghi N, Fayek AR, Pedrycz W. 2010. Fuzzy Monte Carlo simulation and risk assessment in construction. Comp Aided Civ Infrastruct Eng. 25:238–252.
   Web of Science ®Google Scholar
• Safa M. 2013. A comprehensive advanced construction supply nexus model [dissertation]. University of Waterloo, Canada.
   Google Scholar
• Safa M, Haas TC, Gray J, Hipel K. 2013. Electronic process management system based front end planning tool (FEPT). J Constr Eng Proj Manag. 3:1–12.
   Google Scholar
• Safa M, Sabet A, MacGillivray S, Davidson M, Kaczmarczyk K, Haas CT, Gibson GE, Rayside D. 2015. Classification of construction projects. World Academy of Science, Engineering and Technology. Int J Civ, Environ Struct Constr Arch Eng. 9:666–674.
   Google Scholar
• Safa M, Shahi A, Haas CT, Hipel KW. 2014. Supplier selection process in an integrated construction materials management model. Automat Constr. 48:64–73.
   Web of Science ®Google Scholar
• San Cristóbal J. 2012. Contractor selection using multicriteria decision-making methods. J Constr Eng Manag. 138:751–758.
   Web of Science ®Google Scholar
• Shannon CE. 1948. A mathematical theory of communication. Bell Syst Tech J. 27:379–423.
   Web of Science ®Google Scholar
• Shokri S, Safa M, Haas C, Haas R. 2011. A conceptual framework to improve information and process management in the execution of capital projects. Paper presented at: 3rd International/9th Construction Specialty Conference; Ottawa, ON.
   Google Scholar
• Singh D, Tiong R. 2006. Contractor selection criteria: investigation of opinions of Singapore construction practitioners. J Constr Eng Manag. 132:998–1008.
   Web of Science ®Google Scholar
• Tan Y, Shen L, Langston C. 2010. Contractors’ competition strategies in bidding: Hong Kong study. J Constr Eng Manag. 136:1069–1077.
   Web of Science ®Google Scholar
• Tennant S, Fernie S. 2014. Theory to practice: a typology of supply chain management in construction. Int J Constr Manag. 14:72–87.
   Google Scholar
• Thompson Jr R, Lucko G. 2012. Modeling measures of float monetization for quantitative risk management of construction projects. Constr Res Congress. 1:485–494.
   Google Scholar
• Tran PN, Boukhatem N. 2008. Comparison of MADM decision algorithms for interface selection in heterogeneous wireless networks. In: Proceeding of the International Conference on Software, Telecommunications and Computer Networks (SoftCOM); Dubrovnik.
   Google Scholar
• Wegener M. 2003. Overview of land-use transportation models. Paper presented at: The 8th International Conference on Computers in Urban Planning and Urban Management; Sendai.
   Google Scholar
• Wenhui Z. 2004. Handover decision using fuzzy MADM in heterogeneous networks. Paper presented at: Wireless Communications and Networking Conference, WCNC, IEEE; Atlanta (GA).
   Google Scholar
• Yu W, Wang K. 2012. Best value or lowest bid? A quantitative perspective. J Constr Eng Manag. 138:128–134.
   Web of Science ®Google Scholar