Construction contract management using value packaging systems

In large construction projects, optimally dividing, packaging, and awarding the work amongst contractors and suppliers can be challenging. Typically, this procurement process is executed in the pre-construction phase based on the experience and judgement of the project leadership team. Once procurement is completed, it is difficult to demonstrate whether the results of this process are optimal, or to explain the rationale behind decision making. An auditable and robust method is needed to address these issues, while still taking into account the expertise of the project leadership team. Thus, a comprehensive construction value packaging system (CVPS) is presented which serves as a computational and process environment for assisting project leaders by increasing the efficiency, auditability, and effectiveness of the procurement process. The development of this system requires a new concept to be defined, the construction value unit (VU), whose scope covers value-added work defined by type of activity, its stage in the value chain, and its specifications. Construction value packages are composed of VUs. Research findings demonstrate that the VPS has the potential to improve the contract management of an enterprise-wide construction supply chain.

[1]  Carl B Traylor.  Project Management: A Systems Approach to Planning, Scheduling, and Controlling , 2014 .

[2]  Seung Heon Han,et al.  Contractor’s Risk Attitudes in the Selection of International Construction Projects , 2005 .

[3]  Jae-Jun Kim,et al.  Work-Package–Process Model for Piping Construction , 1995 .

[4]  Photios G. Ioannou,et al.  Below-Average Bidding Method , 2010 .

[5]  Gunnar Lucko,et al.  Modeling Measures of Float Monetization for Quantitative Risk Management of Construction Projects , 2012 .

[6]  Robert L. K. Tiong,et al.  Contractor Selection Criteria: Investigation of Opinions of Singapore Construction Practitioners , 2006 .

[7]  Witold Pedrycz,et al.  Fuzzy Monte Carlo Simulation and Risk Assessment in Construction , 2010, Comput. Aided Civ. Infrastructure Eng..

[8]  Mehdi Ravanshadnia,et al.  Hybrid fuzzy MADM project-selection model for diversified construction companies , 2010 .

[9]  C. William Ibbs,et al.  TOWARD A NEW PARADIGM: SIMULTANEOUS USE OF MULTIPLE PROJECT DELIVERY METHODS , 2000 .

[10]  Angela Lee,et al.  Value in Construction: An International Study , 2006 .

[11]  P.N. Tran,et al.  Comparison of MADM decision algorithms for interface selection in heterogeneous wireless networks , 2008, 2008 16th International Conference on Software, Telecommunications and Computer Networks.

[12]  X. Zhang,et al.  Towards automated progress assessment of workpackage components in construction projects using computer vision , 2009, Adv. Eng. Informatics.

[13]  Paul Chinowsky,et al.  Strategic Management in Construction , 2000 .

[14]  Gary David Holt,et al.  WHICH CONTRACTOR SELECTION METHODOLOGY , 1998 .

[15]  Zohar J. Herbsman.  Closure to “Time is Money: Innovative Contracting Methods in Highway Construction” by Zohar J. Herbsman , 1997 .

[16]  Martin Skitmore,et al.  Contractor selection using multi criteria utility theory: an additive mode , 1998 .

[17]  W. B. Ledbetter.  Quality Performance on Successful Project , 1994 .

[18]  Yongtao Tan,et al.  Contractors' competition strategies in bidding: Hong Kong study , 2010 .

[19]  Stuart D. Anderson,et al.  The Warranty Alternative , 1999 .

[20]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[21]  M. T. Birgonul,et al.  Alignment of project management with business strategy in construction: evidence from the Turkish contractors , 2014 .

[22]  Tarek Zayed,et al.  Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process , 2013 .

[23]  Edward J. Jaselskis,et al.  Optimal Allocation of Project Management Resources for Achieving Success , 1991 .

[24]  Yoshiro Yamada,et al.  A Concerted International Project to Establish High-Temperature Fixed Points for Primary Thermometry , 2007 .

[25]  Wenhui Zhang,et al.  Handover decision using fuzzy MADM in heterogeneous networks , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[26]  Derek Rayside,et al.  Classification of Construction Projects , 2015 .

[27]  Keith W. Hipel,et al.  Supplier selection process in an integrated construction materials management model , 2014 .

[28]  Sarah Elizabeth Meeks.  Enhanced work packaging : design through workface execution , 2011 .

[29]  Keith W. Hipel,et al.  Front End Planning Tool (FEPT) Based on an Electronic Process Management , 2013 .

[30]  Ekambaram Palaneeswaran,et al.  Dynamic contractor prequalification , 1999 .

[31]  San Cristobal,et al.  Contractor Selection Using Multicriteria Decision-Making Methods , 2012 .

[32]  Stuart Tennant,et al.  Theory to practice: A typology of supply chain management in construction , 2014 .

[33]  Hemanta Doloi,et al.  Empirical Analysis of Traditional Contracting and Relationship Agreements for Procuring Partners in Construction Projects , 2013 .

[34]  W. Art Chaovalitwongse,et al.  Data Mining Framework to Optimize the Bid Selection Policy for Competitively Bid Highway Construction Projects , 2012 .

[35]  Wen-der Yu,et al.  Best Value or Lowest Bid? A Quantitative Perspective , 2012 .