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Abdelgawad, M and Fayek, A R (2010) Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP. Journal of Construction Engineering and Management, 136(09), 1028–36.

Adriaanse, A, Voordijk, H and Dewulf, G (2010) Adoption and Use of Interorganizational ICT in a Construction Project. Journal of Construction Engineering and Management, 136(09), 1003–14.

Bayraktar, M E and Hastak, M (2010) Scoring Approach to Construction Bond Underwriting. Journal of Construction Engineering and Management, 136(09), 957–67.

Hallowell, M R and Gambatese, J A (2010) Population and Initial Validation of a Formal Model for Construction Safety Risk Management. Journal of Construction Engineering and Management, 136(09), 981–90.

Hwang, S (2010) Cross-Validation of Short-Term Productivity Forecasting Methodologies. Journal of Construction Engineering and Management, 136(09), 1037–46.

Hwang, S and Liu, L Y (2010) Contemporaneous Time Series and Forecasting Methodologies for Predicting Short-Term Productivity. Journal of Construction Engineering and Management, 136(09), 1047–55.

  • Type: Journal Article
  • Keywords: Productivity; Forecasting; Estimation; Predictions; Time series analysis; Stochastic processes; Construction management; Productivity; Forecasting; Estimates; Short-term prediction; Time series; Stochastic;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000183
  • Abstract:
    Productivity has a profound impact on projects that depend on time and cost of construction operations. In addition, time and cost estimates are derived from productivity. Thus, accurate prediction of productivity is essential to effectively plan and control construction operations. Predicting productivity of ongoing operations, however, is challenging. Due to dynamic and stochastic changes in productivity over time during construction, frequent and regular forecasting of short-term productivity is critical in managing ongoing operations. The present research investigated the characteristics of series of periodic productivity that should be taken into consideration to effectively predict short-term productivity continually and proactively. Given the identified characteristics, this study reviewed a few potential statistical methodologies that can make full use of contemporaneous time series data related to production for the purpose of predicting short-term productivity by using trend analysis. The methodologies were demonstrated in this paper using an example case, through which data processing and modeling procedure for modeling contemporaneous series data were explained.

Ioannou, P G and Awwad, R E (2010) Below-Average Bidding Method. Journal of Construction Engineering and Management, 136(09), 936–46.

Love, P E D, Mistry, D and Davis, P R (2010) Price Competitive Alliance Projects: Identification of Success Factors for Public Clients. Journal of Construction Engineering and Management, 136(09), 947–56.

Sacks, R, Koskela, L, Dave, B A and Owen, R (2010) Interaction of Lean and Building Information Modeling in Construction. Journal of Construction Engineering and Management, 136(09), 968–80.

Serag, E, Oloufa, A, Malone, L and Radwan, E (2010) Model for Quantifying the Impact of Change Orders on Project Cost for U.S. Roadwork Construction. Journal of Construction Engineering and Management, 136(09), 1015–27.

Wong, J M W, Chan, A P C and Chiang, Y H (2010) Modeling Construction Occupational Demand: Case of Hong Kong. Journal of Construction Engineering and Management, 136(09), 991–1002.

Zhao, Z Y, You, W Y and Zuo, J (2010) Application of Innovative Critical Chain Method for Project Planning and Control under Resource Constraints and Uncertainty. Journal of Construction Engineering and Management, 136(09), 1056–60.