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Ahmed, S M, Sang, L P and Torbica, & M (2003) Use of Quality Function Deployment in Civil Engineering Capital Project Planning. Journal of Construction Engineering and Management, 129(04), 358–68.

Allouche, E N, Ariaratnam, S T and MacLeod, C W (2003) Software for Planning and Cost Control in Directional Drilling Projects. Journal of Construction Engineering and Management, 129(04), 446–53.

Attalla, M and Hegazy, T (2003) Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression. Journal of Construction Engineering and Management, 129(04), 405–11.

Chan, E H W and Tse, R Y C (2003) Cultural Considerations in International Construction Contracts. Journal of Construction Engineering and Management, 129(04), 375–81.

Chang, A S and Tsai, Y (2003) Engineering Information Classification System. Journal of Construction Engineering and Management, 129(04), 454–60.

Cheng, M and Ko, C (2003) Object-Oriented Evolutionary Fuzzy Neural Inference System for Construction Management. Journal of Construction Engineering and Management, 129(04), 461–9.

Fu, W K, Drew, D S and Lo, H P (2003) Competitiveness of Inexperienced and Experienced Contractors in Bidding. Journal of Construction Engineering and Management, 129(04), 388–95.

Hassim, S, Kadir, M R A, Lew, Y and Sim, Y (2003) Estimation of Minimum Working Capital for Construction Projects in Malaysia. Journal of Construction Engineering and Management, 129(04), 369–74.

Hegazy, T and Petzold, K (2003) Genetic Optimization for Dynamic Project Control. Journal of Construction Engineering and Management, 129(04), 396–404.

Ibbs, C W, Kwak, Y H, Ng, T and Odabasi, A M (2003) Project Delivery Systems and Project Change: Quantitative Analysis. Journal of Construction Engineering and Management, 129(04), 382–7.

Lee, S and Halpin, D W (2003) Predictive Tool for Estimating Accident Risk. Journal of Construction Engineering and Management, 129(04), 431–6.

Lu, M and Li, H (2003) Resource-Activity Critical-Path Method for Construction Planning. Journal of Construction Engineering and Management, 129(04), 412–20.

  • Type: Journal Article
  • Keywords: Construction planning; Project management; Scheduling; Resource management; Critical path method; project management; construction industry; planning; scheduling; resource allocation; civil engineering; critical path analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(412)
  • Abstract:
    In this paper, a practical method is developed in an attempt to address the fundamental matters and limitations of existing methods for critical-path method (CPM) based resource scheduling, which are identified by reviewing the prior research in resource-constrained CPM scheduling and repetitive scheduling. The proposed method is called the resource-activity critical-path method (RACPM), in which (1) the dimension of resource in addition to activity and time is highlighted in project scheduling to seamlessly synchronize activity planning and resource planning; (2) the start/finish times and the floats are defined as resource-activity attributes based on the resource-technology combined precedence relationships; and (3) the “resource critical” issue that has long baffled the construction industry is clarified. The RACPM is applied to an example problem taken from the literature for illustrating the algorithm and comparing it with the existing method. A sample application of the proposed RACPM for planning a footbridge construction project is also given to demonstrate that practitioners can readily interpret and utilize a RACPM schedule by relating the RACPM to the classic CPM. The RACPM provides schedulers with a convenient vehicle for seamlessly integrating the technology/process perspective with the resource use perspective in construction planning. The effect on the project duration and activity floats of varied resource availability can be studied through running RACPM on different scenarios of resources. This potentially leads to an integrated scheduling and cost estimating process that will produce realistic schedules, estimates, and control budgets for construction.

Navon, R and Goldschmidt, E (2003) Can Labor Inputs be Measured and Controlled Automatically?. Journal of Construction Engineering and Management, 129(04), 437–45.

Warszawski, A (2003) Analysis of Costs and Benefits of Tall Buildings. Journal of Construction Engineering and Management, 129(04), 421–30.