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Abotaleb, I S and El-adaway, I H (2018) First Attempt Toward a Holistic Understanding of the Interdependent Rippled Impacts Associated with Out-of-Sequence Work in Construction Projects: System Dynamics Modeling Approach. Journal of Construction Engineering and Management, 144(09).
Al-Bayati, A J and Al-Zubaidi, H A (2018) Inventory of Nanomaterials in Construction Products for Safety and Health. Journal of Construction Engineering and Management, 144(09).
Chen, R, Tan, Y, Zhang, B, Shen, W, Liu, G and Wang, Z (2018) Installation of Integral Prefabricated Bridge Abutment and Pier with Flexible Water Stop Curtain. Journal of Construction Engineering and Management, 144(09).
Cheng, M, Huang, K and Hutomo, M (2018) Multiobjective Dynamic-Guiding PSO for Optimizing Work Shift Schedules. Journal of Construction Engineering and Management, 144(09).
Chennarapu, H, Garala, T K, Chennareddy, R, Balunaini, U and Venkata Narasimha Reddy, G (2018) Compaction Quality Control of Earth Fills Using Dynamic Cone Penetrometer. Journal of Construction Engineering and Management, 144(09).
Gerami Seresht, N and Fayek, A R (2018) Dynamic Modeling of Multifactor Construction Productivity for Equipment-Intensive Activities. Journal of Construction Engineering and Management, 144(09).
- Type: Journal Article
- Keywords: Construction productivity; System dynamics; Fuzzy logic; Construction equipment;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001549
- Abstract:
Construction productivity is a major research interest within the construction domain. Because construction is a labor-intensive industry, previous research has often focused on construction labor productivity (CLP). However, equipment is the main driver of productivity for some construction activities, so-called equipment-intensive activities. Existing models of activity-level productivity often predict a single-factor productivity measure—namely CLP—yet determining multifactor productivity, including labor, material, and equipment, provides more comprehensive predictions of productivity. Construction productivity models are often static in nature, or incapable of capturing the subjective uncertainty of some factors influencing productivity. Fuzzy system dynamics is an appropriate technique for modeling construction productivity because it captures the dynamism of construction projects and addresses the subjective and probabilistic uncertainty of factors influencing productivity. The contributions of this paper are threefold: identifying the key factors influencing the productivity of equipment-intensive activities, developing a predictive model of multifactor productivity for equipment-intensive activities using fuzzy system dynamics technique, and developing an approach to reduce uncertainty overestimation in the simulation results of fuzzy system dynamics models.
Ghoddousi, P, Nasirzadeh, F and Hashemi, H (2018) Evaluating Highway Construction Projects’ Sustainability Using a Multicriteria Group Decision-Making Model Based on Bootstrap Simulation. Journal of Construction Engineering and Management, 144(09).
Hosseini, M R, Martek, I, Papadonikolaki, E, Sheikhkhoshkar, M, Banihashemi, S and Arashpour, M (2018) Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements. Journal of Construction Engineering and Management, 144(09).
Hu, C and Liu, D (2018) Improved Critical Path Method with Trapezoidal Fuzzy Activity Durations. Journal of Construction Engineering and Management, 144(09).
Lee, W and Migliaccio, G C (2018) Temporal Effect of Construction Workforce Physical Strain on Diminishing Marginal Productivity at the Task Level. Journal of Construction Engineering and Management, 144(09).
Meng, J, Yan, J and Xue, B (2018) Exploring Relationships between National Culture and Infrastructure Sustainability Using QCA. Journal of Construction Engineering and Management, 144(09).
Ong, H Y, Wang, C and Zainon, N (2018) Developing a Quality-Embedded EVM Tool to Facilitate the Iron Triangle in Architectural, Construction, and Engineering Practices. Journal of Construction Engineering and Management, 144(09).
Oti, A H, Tah, J H M and Abanda, F H (2018) Integration of Lessons Learned Knowledge in Building Information Modeling. Journal of Construction Engineering and Management, 144(09).
Pereira, E, Hermann, U, Han, S and AbouRizk, S (2018) Case-Based Reasoning Approach for Assessing Safety Performance Using Safety-Related Measures. Journal of Construction Engineering and Management, 144(09).
Raoufi, M and Fayek, A R (2018) Framework for Identification of Factors Affecting Construction Crew Motivation and Performance. Journal of Construction Engineering and Management, 144(09).
Tang, Y, Wang, G, Li, H and Cao, D (2018) Dynamics of Collaborative Networks between Contractors and Subcontractors in the Construction Industry: Evidence from National Quality Award Projects in China. Journal of Construction Engineering and Management, 144(09).