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Al-Bayati, A J, Abudayyeh, O, Fredericks, T and Butt, S E (2017) Reducing Fatality Rates of the Hispanic Workforce in the U.S. Construction Industry: Challenges and Strategies. Journal of Construction Engineering and Management, 143(03).

Awolusi, I G and Marks, E D (2017) Safety Activity Analysis Framework to Evaluate Safety Performance in Construction. Journal of Construction Engineering and Management, 143(03).

Babar, S, Thaheem, M J and Ayub, B (2017) Estimated Cost at Completion: Integrating Risk into Earned Value Management. Journal of Construction Engineering and Management, 143(03).

Kam, C, Song, M H and Senaratna, D (2017) {[}VDC Scorecard{]}: Formulation, Application, and Validation. Journal of Construction Engineering and Management, 143(03).

Kisi, K P, Mani, N, Rojas, E M and Foster, E T (2017) Optimal Productivity in Labor-Intensive Construction Operations: Pilot Study. Journal of Construction Engineering and Management, 143(03).

Li, Y, Wang, X and Wang, Y (2017) Using Bargaining Game Theory for Risk Allocation of Public-Private Partnership Projects: Insights from Different Alternating Offer Sequences of Participants. Journal of Construction Engineering and Management, 143(03).

Louis, J and Dunston, P S (2017) Methodology for Real-Time Monitoring of Construction Operations Using Finite State Machines and Discrete-Event Operation Models. Journal of Construction Engineering and Management, 143(03).

  • Type: Journal Article
  • Keywords: Real-time; Monitoring; Construction; Operations; Discrete event simulations; Automated; Finite-state machines; Construction materials and methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001243
  • Abstract:
    Enabling real-time and remote monitoring of construction operations is currently a very difficult task given the spread of the construction worksite and the complexity and diversity of processes involved. This situation persists despite the growing availability of instrumentation on construction equipment and other sensors on the construction worksite that can provide real-time but isolated information about the operation. This paper provides a methodology that enables the real-time monitoring of construction operations by synthesizing sensor data through the consideration of resources as finite-state machines that provide real-time input to a context-rich operation model that codifies the construction process. The framework extends the utility of simulation modeling and analysis from the planning to the construction phase by enabling the model to be advanced by the entities that perform work on the construction site, thereby making the model accurately reflect the latest state of the operation in the real world. Real-time monitoring is the first step toward real-time and remote control of construction worksites at the operations level. This paper also describes an earthmoving operation that was performed in a virtual construction site to demonstrate the real-time monitoring capabilities of the developed methodology.

Niu, Y, Lu, W, Liu, D, Chen, K, Anumba, C and Huang, G G (2017) An SCO-Enabled Logistics and Supply Chain–Management System in Construction. Journal of Construction Engineering and Management, 143(03).

Shrestha, P P and Fernane, J D (2017) Performance of Design-Build and Design-Bid-Build Projects for Public Universities. Journal of Construction Engineering and Management, 143(03).

Yoon, Y, Patel, S, Ji, R and Hastak, M (2017) Current State of Reflective Cracking in the United States. Journal of Construction Engineering and Management, 143(03).