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Almazkoor, F B (2014) Two-stage methodology for managing and controlling material flow between multiple construction projects, Unpublished PhD Thesis, , Clemson University.

  • Type: Thesis
  • Keywords: construction supply chain; optimization; inventory; construction project; project manager
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/1616648804
  • Abstract:
    There is a strong connection between managing and controlling material flow in a supply chain and its performance. While this is true in all supply chains, it is particularly true in the construction supply chain (CSC) where the total demand for parts is finite, the storage space available can be small, and the variability in consumption is high. On the other hand, effectively controlling the CSC can have a significant impact on controlling risk and buffering their impact so that projects stay on schedule and within budget. Currently, a common control of the CSC is with a push-based material ordering system based on the initial construction schedule and, then, holding a tremendous amount of inventory. Project managers even speak of the desirability to "flood the site" which means having as many of the construction materials on-site as early in the project as possible. It is not uncommon for a year-long construction project to have tens of acres dedicated to storage and for this area to be completely full early before the project begins. Further, each project is controlled completely independently from all other project even if they are for the same customer or being built by the same firm. A new methodology for controlling the CSC that represents a paradigm shift from the current system is proposed in this dissertation. This two-stage methodology applies to products that can be used among a few construction projects being executed simultaneously. Stage 1 mirrors the current push procurement strategy but Stage 2 allows transshipments between sites. Further, the two stages collaborate in the sense that information is shared and decisions updated based on current, global knowledge. The methodology uses deterministic optimization models with objectives that minimizing the total cost of the CSC. To illustrate how this methodology can be used in practice and the types of information that can be gleaned, it is tested on a number of cases based on the real example of multiple construction projects in Kuwait.

Altayeb, S A (1990) Drug testing and its impact on the incident rate in the construction industry, Unpublished PhD Thesis, , Clemson University.

Back, W E (1994) Quantifying benefits of electronic technology applied to bulk materials management, Unpublished PhD Thesis, , Clemson University.

Carpenter, N (2014) Comparison of the design-bid-build and construction manager at risk project delivery methods utilized for the construction of public schools, Unpublished PhD Thesis, , Clemson University.

Cole, B K (2012) Building social infrastructure through public-private partnerships: The case of student housing in public higher education, Unpublished PhD Thesis, , Clemson University.

George, R (2007) Information flow to support front end planning, Unpublished PhD Thesis, , Clemson University.

Howard, W E (1996) Innovative strategies for compensation of engineering and construction contractors, Unpublished PhD Thesis, , Clemson University.

Jonnalagadda, S (2016) Artificial neural networks, non linear auto regression networks (NARX) and causal loop diagram approaches for modelling bridge infrastructure conditions, Unpublished PhD Thesis, , Clemson University.

Nikyema, G A B (2020) Barriers to the adoption of green building materials and technologies in developing countries: The case of Burkina Faso, Unpublished PhD Thesis, , Clemson University.

Plumblee, J M, II (2013) Incorporating natural hazard resistance into the life cycle assessment framework, Unpublished PhD Thesis, , Clemson University.

Prince, J R (2004) Evaluating the impact of onsite design on project performance, Unpublished PhD Thesis, , Clemson University.

Rockow, Z R (2020) Qualitative & quantitative analyses of existing buildings’ adaptability, Unpublished PhD Thesis, , Clemson University.

Shealy, E W, III (2015) Decision environments to encourage more sustainable infrastructure outcomes, Unpublished PhD Thesis, , Clemson University.

Skipper, C O (2004) An analysis of leadership behaviors in the construction industry: Identification of influences that develop top performing project managers and engineers, Unpublished PhD Thesis, , Clemson University.

Valdes-Vasquez, R (2011) Social sustainability considerations during planning and design: A framework of processes for construction projects, Unpublished PhD Thesis, , Clemson University.