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Abbasian-Hosseini, S A, Hsiang, S M, Leming, M L and Liu, M (2014) From Social Network to Data Envelopment Analysis: Identifying Benchmarks at the Site Management Level. Journal of Construction Engineering and Management, 140(08).

Arambula, E and Gharaibeh, N (2014) Methods for Accumulating Construction and Material Quality Test Results and Their Effect on Acceptance Decisions. Journal of Construction Engineering and Management, 140(08).

Hanna, A S, Lotfallah, W, Aoun, D G and Asmar, M E (2014) Mathematical Formulation of the Project Quarterback Rating: New Framework to Assess Construction Project Performance. Journal of Construction Engineering and Management, 140(08).

Kim, T W and Fischer, M (2014) Ontology for Representing Building Users’ Activities in Space-Use Analysis. Journal of Construction Engineering and Management, 140(08).

Lau, S, Lu, M and Poon, C (2014) Formalized Approach to Discretize a Continuous Plant in Construction Simulations. Journal of Construction Engineering and Management, 140(08).

  • Type: Journal Article
  • Keywords: Quantitative analysis; Simulation; Construction management; Decision support systems; Mining; Quantitative analysis; Simulation; Construction management; Decision support; Mining; Quantitative methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000872
  • Abstract:
    The lack of the expertise and resources, the unavailability of sufficient and complete operations data, and the absence of relevant site information present obstacles to applying combined simulation modeling in practice. Construction modelers are required to make critical decisions in a short turnaround time for planning operations and improving productivity. Thus, a more convenient discrete event simulation-based approach in simulating the production capacity of the continuous plant given limited data availability is desirable and formalized, which essentially discretizes the modeling of continuous elements in a predominantly discrete system without loss of significance or accuracy. As such, a direct application of a discrete simulation method intended for construction applications will offer a straightforward, sufficient solution to model the whole system. A concrete pumping case is used to illustrate the proposed approach. The effectiveness of the proposed approach is further demonstrated to tackle a real-world challenge: modeling iron ore mining operations to achieve efficiency and enhance productivity. Especially, the formula proposed is applied to simplify the modeling of the iron ore processing plant with magnetic separation drums, which constitutes the major plant used for extracting iron sand from the slurry of iron ore. A discrete event simulation model was rapidly developed for the complex mining system and the insight derived from simulation experiments assisted a mining company in (1) configuring the processes of raw sand excavation, iron sand magnetic separation and iron sand shipment at a seaport, (2) optimizing resource allocation and utilization. In conclusion, the proposed approach adds to the usefulness and flexibility of a discrete simulation methodology in modeling complicated construction systems.

Mello Saraiva Caldeira, L M and Brito, A (2014) Use of Soil-Rock Mixtures in Dam Construction. Journal of Construction Engineering and Management, 140(08).

Naderpajouh, N, Mahdavi, A, Hastak, M and Aldrich, D P (2014) Modeling Social Opposition to Infrastructure Development. Journal of Construction Engineering and Management, 140(08).

Pomares, J C, Irles, R, Segovia, E and Ferrer, B (2014) Acceleration and Deflection Analysis for Class C Edge Protection Systems in Construction Work. Journal of Construction Engineering and Management, 140(08).

Sousa, V, Almeida, N M and Dias, L A (2014) Role of Statistics and Engineering Judgment in Developing Optimized Time-Cost Relationship Models. Journal of Construction Engineering and Management, 140(08).

Xia, B, Skitmore, M, Wu, P and Chen, Q (2014) How Public Owners Communicate the Sustainability Requirements of Green Design-Build Projects. Journal of Construction Engineering and Management, 140(08).

Zhao, X, Hwang, B and Low, S P (2014) Investigating Enterprise Risk Management Maturity in Construction Firms. Journal of Construction Engineering and Management, 140(08).