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Bubshait, A A and Cunningham, M J (1998) Comparison of Delay Analysis Methodologies. Journal of Construction Engineering and Management, 124(04), 315–22.
Chao, L and Skibniewski, M J (1998) Fuzzy Logic for Evaluating Alternative Construction Technology. Journal of Construction Engineering and Management, 124(04), 297–304.
Faniran, O O, Oluwoye, J O and Lenard, D J (1998) Interactions between Construction Planning and Influence Factors. Journal of Construction Engineering and Management, 124(04), 245–56.
Garza, J M d l, Hancher, D E and Decker, L (1998) Analysis of Safety Indicators in Construction. Journal of Construction Engineering and Management, 124(04), 312–4.
Harmelink, D J and Rowings, J E (1998) Linear Scheduling Model: Development of Controlling Activity Path. Journal of Construction Engineering and Management, 124(04), 263–8.
Harris, R B and Ioannou, P G (1998) Scheduling Projects with Repeating Activities. Journal of Construction Engineering and Management, 124(04), 269–78.
LeBlond, D, Owen, F, Gibson, G E, Haas, C T and Traver, A E (1998) Control Improvement for Advanced Construction Equipment. Journal of Construction Engineering and Management, 124(04), 289–96.
Moon, S and Bernold, L E (1998) Graphic-Based Human-Machine Interface for Construction Manipulator Control. Journal of Construction Engineering and Management, 124(04), 305–11.
Tabatabai-Gargari, M and Elzarka, H M (1998) Integrated CAD/KBS Approach for Automating Preconstruction Activities. Journal of Construction Engineering and Management, 124(04), 257–62.
Tommelein, I D (1998) Pull-Driven Scheduling for Pipe-Spool Installation: Simulation of Lean Construction Technique. Journal of Construction Engineering and Management, 124(04), 279–88.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(1998)124:4(279)
- Abstract:
Many construction processes include installation of unique materials in specific locations in the facility being built; materials and locations must match before installation can take place. Mismatches due to delay and uncertainty in supplying materials or completing prerequisite work at those locations hamper field productivity. This is illustrated here using a model of a materials-management process with a matching problem that typifies fast-track process-plant projects. The uniqueness of materials and locations combined with the unpredictability in duration and variation in execution quality of various steps in the supply chain allow for different ways to sequence material delivery and work area completion. Several alternatives are described. Their impact on process execution is illustrated by means of probabilistic process models. One model reflects a total lack of coordination between delivery and work area completion prior to the start of construction; a second one describes perfect coordination. The corresponding materials staging buffers and construction progress are plotted based on output from discrete-event simulation models. A third probabilistic model then illustrates the use of the lean construction technique known as pull-driven scheduling. Real-time feedback regarding the status of progress on site is provided to the fabricator off site so process steps can be resequenced opportunistically. This yields smaller buffers, earlier project completion, and, when properly accounted for, increased productivity.
Toole, T M (1998) Uncertainty and Home Builders' Adoption of Technological Innovations. Journal of Construction Engineering and Management, 124(04), 323–32.
Wang, S Q, Tiong, R L K, Ting, S K, Chew, D and Ashley, D (1998) Evaluation and Competitive Tendering of BOT Power Plant Project in China. Journal of Construction Engineering and Management, 124(04), 333–41.