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Anvuur, A M and Kumaraswamy, M M (2007) Conceptual Model of Partnering and Alliancing. Journal of Construction Engineering and Management, 133(03), 225–34.

Jarrah, R, Kulkarni, D and O’Connor, J T (2007) Cash Flow Projections for Selected TxDoT Highway Projects. Journal of Construction Engineering and Management, 133(03), 235–41.

Manrique, J D, Al-Hussein, M, Telyas, A and Funston, G (2007) Case Study-Based Challenges of Quality Concrete Finishing for Architecturally Complex Structures. Journal of Construction Engineering and Management, 133(03), 208–16.

Manrique, J D, Al-Hussein, M, Telyas, A and Funston, G (2007) Constructing a Complex Precast Tilt-Up-Panel Structure Utilizing an Optimization Model, 3D CAD, and Animation. Journal of Construction Engineering and Management, 133(03), 199–207.

Singh, P, Oh, J E, Labi, S and Sinha, K C (2007) Cost-Effectiveness Evaluation of Warranty Pavement Projects. Journal of Construction Engineering and Management, 133(03), 217–24.

Sturts Dossick, C and Schunk, T K (2007) Subcontractor Schedule Control Method. Journal of Construction Engineering and Management, 133(03), 262–5.

Walsh, K D, Sawhney, A and Bashford, H H (2007) Production Equations for Unsteady-State Construction Processes. Journal of Construction Engineering and Management, 133(03), 254–61.

Yang, Y, Park, C, Kim, J and Kim, J (2007) Management of Daily Progress in a Construction Project of Multiple Apartment Buildings. Journal of Construction Engineering and Management, 133(03), 242–53.

  • Type: Journal Article
  • Keywords: Buildings, residential; Scheduling; Information systems; Korea; Budgets; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:3(242)
  • Abstract:
    This paper presents the methods used and a case study of a project management system (PMS) to manage daily progress in the construction of multiple apartment buildings in South Korea. A dilemma encountered in previous research in the field of progress management is that efforts to enhance data accuracy cause the data handling workload to soar. A main feature of the method presented by the writers for calculating the budgeted cost work schedule is to allocate the project budget into control attributes, activities, and tasks that are defined in a work-packaging model, according to daily weight value. The method offers enhanced practicability by reducing data-handling workloads while not sacrificing the rationale of progress management. The work-packaging model is designed to enable project managers to acquire and process data for progress management at various levels of detail. The budgeted cost of work performed is measured daily at the tasks level using the earning percentage rate from daily work reports. The implementation of PMS focuses on functions to distribute the budget according to daily weight values and acquire the earning percentage from the daily work report. The PMS was applied to a construction project of 54 apartment buildings in South Korea. The case study of its use shows that company headquarters and managers in the field can acquire data for progress management without additional data-handling workloads, and can analyze the progress daily at various levels of detail.