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Berg, R and Hinze, J (2005) Theft and Vandalism on Construction Sites. Journal of Construction Engineering and Management, 131(07), 826–33.

Castañeda, J A, Tucker, R L and Haas, C T (2005) Workers’ Skills and Receptiveness to Operate Under the Tier II Construction Management Strategy. Journal of Construction Engineering and Management, 131(07), 799–807.

Chua, D K and Shen, L J (2005) Key Constraints Analysis with Integrated Production Scheduler. Journal of Construction Engineering and Management, 131(07), 753–64.

  • Type: Journal Article
  • Keywords: Constraints; Critical path method; Lean construction; Scheduling;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:7(753)
  • Abstract:
    Project delays due to late availabilities of resource and information (RI) prerequisites are one of the major threats to construction management. It is desirable to avoid such delays through better means of constraint management. With most contemporary planning methodologies and tools, it is generally difficult to represent many hidden flow constraints in a construction work plan. However, evaluating the impact of flow constraints is crucial in determining their criticalities, based on which the flow constraints may be prioritized and consequently resolved to minimize project delays. Due to the fact that limited resources are often shared among various trades, it may not be practical to resolve all the constraints simultaneously so that a tradeoff is inevitable, which suggests that management should focus on the most important ones termed as key constraints (i.e., those directly contributing to project delays). This paper presents a methodology that augments the traditional critical path method with RI availability constraints to analyze the causes of delays and locate the key constraints binding on project completion without ambiguity based on the principles of the theory of constraints. The methodology of key constraint analysis has been implemented with the integrated production scheduler, a constraint-based scheduling tool which facilitates the modeling, analysis, and management of constraints at the production planning level. An illustrative example is depicted to demonstrate how the proposed methodology works.

Horman, M J and Thomas, H R (2005) Role of Inventory Buffers in Construction Labor Performance. Journal of Construction Engineering and Management, 131(07), 834–43.

Lee, S, Thomas, S R and Tucker, R L (2005) Web-Based Benchmarking System for the Construction Industry. Journal of Construction Engineering and Management, 131(07), 790–8.

Mitropoulos, P, Abdelhamid, T S and Howell, G A (2005) Systems Model of Construction Accident Causation. Journal of Construction Engineering and Management, 131(07), 816–25.

Park, H, Thomas, S R and Tucker, R L (2005) Benchmarking of Construction Productivity. Journal of Construction Engineering and Management, 131(07), 772–8.

Thomas, H R, Riley, D R and Messner, J I (2005) Fundamental Principles of Site Material Management. Journal of Construction Engineering and Management, 131(07), 808–15.

Wilmot, C G and Mei, B (2005) Neural Network Modeling of Highway Construction Costs. Journal of Construction Engineering and Management, 131(07), 765–71.

Xu, T, Tiong, R L, Chew, D A and Smith, N J (2005) Development Model for Competitive Construction Industry in the People’s Republic of China. Journal of Construction Engineering and Management, 131(07), 844–53.

Zayed, T M and Halpin, D W (2005) Productivity and Cost Regression Models for Pile Construction. Journal of Construction Engineering and Management, 131(07), 779–89.