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Abou-Zeid, A M K (1993) Data flow identification to support project automation/integration and productivity, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Al-Fares, M A (1995) On the development of an integrated system for the automation of on-site reinforced concrete construction, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Ammar, A I (2001) Profitability of electrical contractors using financial and economical data: The effect of company's size, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Choi, J (2003) Strategic motives underlying M and A transactions in the United States public construction industry, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Choi, K (2008) Applications of its archived data for improved highway planning and design, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Huang, C-N (2003) Time study on two-echelon supply chain for steel framing construction: Field investigation and networking model simulation, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Ibrahim, M W W (2018) Improving project performance by mitigating out-of-sequence work and assessing construction readiness, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Jang, H (2002) Construction material logistics: Project manager level of satisfaction and facilities layout planning, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Kang, M M K (2014) Development of an expert system for sustainable pavement preservation strategies (es2p2s), Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Kim, S-K (2001) Toward a framework for an intelligent earthwork system (ies), Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Koo, K-J (2000) Organizational program management for multiple maintenance projects under multi-trade capacity constraints, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Lee, J C (2010) Evaluating the sustainability of construction with recycled materials, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Lee, S (2000) Spatial model and decentralized path planning for construction automation, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Lukito, P K (2000) A framework for environmental monitoring infrastructure investment planning in developing areas, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Rungjang, K (2013) Public investment for developing port facilities within competitive market, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Schwab, A (2000) Management practices in short-term network organizations: The performance impact of the shadow of the future and psychological contracts in the United States movie industry, 1931--1940, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Shr, J-F (1999) Model development for cost-plus-time bidding applied to Florida department of transportation highway construction, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

Sullivan, K T (2004) Quantification of the cumulative impact of change orders on sheet metal labor productivity, Unpublished PhD Thesis, , The University of Wisconsin - Madison.

  • Type: Thesis
  • Keywords: direct costs; equipment; project control; supervision; productivity; project performance; quantification; regression model; construction project; change order; owner
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/305113627
  • Abstract:
    Change on construction projects is inevitable and often the effects of change are disputed amongst owners and contractors. Change orders, the contractual method of issuing a change to a construction contract, are legal and present on every job. The complete effects that change orders have on a project are noticed by the contractor but are difficult to quantify. This difficulty lies in the fact that the total and complete costs of a change are not only the direct costs of the extra material and equipment hours that are needed to carry out the change but also the effect that the change has on the flow of work (its effect on labor) and the “ripple effect” that change orders cause through the project. This ripple effect has been defined as the cumulative impact of change orders and its sources impact both the changed and unchanged work. Some sources of change order cumulative impact are dilution of supervision, out of sequence work, rework, schedule acceleration, etc. The current research focuses on the impact of change orders on labor productivity for a different and unique section of the construction industry: sheet metal. The current research undertook the issue of cumulative impact on sheet metal construction by investigating and hypothesizing that the productive impact of change order caused inefficiencies can be reasonably estimated on an individual project basis using observed project characteristics and conditions. The hypothesis was tested by developing and rigorously cross-validating a model that can estimate the productivity loss on a project impacted by change orders. The research resulted in the formulation of a regression model that can be applied to projects to generate a percentage loss of productivity due to changes. In addition to the primary research hypothesis the research tested 23 secondary hypotheses to identify key factors that contribute to project performance. The research also created project control tools and industry benchmarks that sheet metal contractors can use to minimize the impact of changes and help improve any project's productivity.

Taha, M A-E (1994) Applying distributed artificial intelligence to the prequalification of construction contractors, Unpublished PhD Thesis, , The University of Wisconsin - Madison.