Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 10 results ...

An, X, Li, H, Zuo, J, Ojuri, O, Wang, Z and Ding, J (2018) Identification and Prevention of Unbalanced Bids Using the Unascertained Model. Journal of Construction Engineering and Management, 144(11).

Charkhakan, M H and Heravi, G (2018) Risk Manageability Assessment to Improve Risk Response Plan: Case Study of Construction Projects in Iran. Journal of Construction Engineering and Management, 144(11).

Devine, R D, Barbachyn, S M, Thrall, A P and Kurama, Y C (2018) Effect of Tripping Prefabricated Rebar Assemblies on Bar Spacing. Journal of Construction Engineering and Management, 144(11).

ElMousalami, H H, Elyamany, A H and Ibrahim, A H (2018) Predicting Conceptual Cost for Field Canal Improvement Projects. Journal of Construction Engineering and Management, 144(11).

Gupta, M, Hasan, A, Jain, A K and Jha, K N (2018) Site Amenities and Workers’ Welfare Factors Affecting Workforce Productivity in Indian Construction Projects. Journal of Construction Engineering and Management, 144(11).

Orgut, R E, Zhu, J, Batouli, M, Mostafavi, A and Jaselskis, E J (2018) Metrics That Matter: Core Predictive and Diagnostic Metrics for Improved Project Controls and Analytics. Journal of Construction Engineering and Management, 144(11).

Sackey, S and Kim, B (2018) Environmental and Economic Performance of Asphalt Shingle and Clay Tile Roofing Sheets Using Life Cycle Assessment Approach and TOPSIS. Journal of Construction Engineering and Management, 144(11).

Wang, Z, Hu, H and Gong, J (2018) Modeling Worker Competence to Advance Precast Production Scheduling Optimization. Journal of Construction Engineering and Management, 144(11).

  • Type: Journal Article
  • Keywords: Human factors; Workforce development; Scheduling; Optimization; Precast production;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001556
  • Abstract:
    Current precast production scheduling methodologies often have limited applicability in practice largely due to the limited consideration of human factors and interactions between the scheduling and workforce development. This study systematically integrates human factors in the form of worker competence into production scheduling. More specifically, the factors of worker learning rate, professional skills, experience in each type of operation, and operation specifications are all formulated to determine the duration of each process in precast production. A two-hierarchy scheduling optimization model (WCSO_PP) considering worker competence is proposed to synchronize the production scheduling with workforce development and to optimize the scheduling from both the short-term (time-oriented) and long-term (competence-oriented) views. Finally, the performance of the proposed model is validated using a real case study. The WCSO_PP model can achieve 74.09% and 73.01% cost savings in short-term and long-term scenarios, respectively. The developed model addresses the research gap in modeling the impact of human factors on the production, contributing to more reliable scheduling and enhancing the long-term human resource development.

Xu, J, Jin, R, Piroozfar, P, Wang, Y, Kang, B, Ma, L, Wanatowski, D and Yang, T (2018) Constructing a BIM Climate–Based Framework: Regional Case Study in China. Journal of Construction Engineering and Management, 144(11).

Yang, F, Li, X, Song, Z, Li, Y and Zhu, Y (2018) Job Burnout of Construction Project Managers: Considering the Role of Organizational Justice. Journal of Construction Engineering and Management, 144(11).