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Bai, Y and Bernold, L E (2001) Quality Control Parameters for Robotic Bridge Painting. Journal of Construction Engineering and Management, 127(02), 142–8.

Chan, A P C, Ho, D C K and Tam, C M (2001) Design and Build Project Success Factors: Multivariate Analysis. Journal of Construction Engineering and Management, 127(02), 93–100.

Chang, A S (2001) Work-Time Model for Engineers. Journal of Construction Engineering and Management, 127(02), 163–72.

El-Rayes, K and Moselhi, O (2001) Impact of Rainfall on the Productivity of Highway Construction. Journal of Construction Engineering and Management, 127(02), 125–31.

Liberatore, M J, Pollack-Johnson, B and Smith, C A (2001) Project Management in Construction: Software Use and Research Directions. Journal of Construction Engineering and Management, 127(02), 101–7.

Shapira, A, Shahar, Y and Raz, Y (2001) Design and Construction of High Multitier Shoring Towers: Case Study. Journal of Construction Engineering and Management, 127(02), 108–15.

Skitmore, M, Drew, D and Ngai, S (2001) Bid-Spread. Journal of Construction Engineering and Management, 127(02), 149–53.

Zayed, T M and Halpin, D (2001) Simulation of Concrete Batch Plant Production. Journal of Construction Engineering and Management, 127(02), 132–41.

Zhang, X and Kumaraswamy, M M (2001) Hong Kong Experience in Managing BOT Projects. Journal of Construction Engineering and Management, 127(02), 154–62.

Zouein, P P and Tommelein, I D (2001) Improvement Algorithm for Limited Space Scheduling. Journal of Construction Engineering and Management, 127(02), 116–24.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2001)127:2(116)
  • Abstract:
    Selecting construction methods, scheduling activities, and planning the use of site space are key to constructing a project efficiently. Site layout and activity scheduling have been tackled as independent problems. Their interdependence is often ignored at the planning stage and may be dealt with—if at all—when construction is underway. Problems that may have had easy solutions if dealt with earlier, may then be expensive to remedy. This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. An example illustrates the presented algorithm that generates a feasible space schedule.