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Ahmadian Fard Fini, A, Rashidi, T H, Akbarnezhad, A and Travis Waller, S (2016) Incorporating Multiskilling and Learning in the Optimization of Crew Composition. Journal of Construction Engineering and Management, 142(05).

Hammad, A W A, Akbarnezhad, A, Rey, D and Waller, S T (2016) A Computational Method for Estimating Travel Frequencies in Site Layout Planning. Journal of Construction Engineering and Management, 142(05).

  • Type: Journal Article
  • Keywords: Building information modeling (BIM); Construction site layout planning; Facility layout optimization; Mixed-integer programming; Travel frequency; Project planning and design;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001086
  • Abstract:
    Optimizing the layout of facilities on a construction site to minimize the material handling costs has been widely investigated in the literature. An integral part of the objective function utilized in the previously proposed optimization models is the frequency parameter, which generally provides a rough estimate of the frequency of travel between each pair of facilities at a specific stage of the project. The majority of travel frequencies deduced in prior studies have been estimated merely based on past experience and may not be an actual representation of movements within the project studied. There is currently a lack of a systematic approach for estimating travel frequencies, required in site layout planning, based on the information available at early stages of the project. Obtaining a reasonable estimate of the travel frequency matrix requires a realistic evaluation of the material transportation quantities at each construction stage. This necessitates the utilization of information on the progress of different activities and their corresponding material needs during the various stages. This paper presents a framework for obtaining travel frequencies at different construction project phases by taking advantage of the information made available by building information models and project schedules. The estimated frequencies are later embedded as parameters in an optimization model to improve site layout planning. The results of a case study are presented to highlight the capabilities of the proposed framework.

Ilbeigi, M, Ashuri, B and Shayegh, S (2016) Price Adjustment Clauses and Submitted Bid Prices for Major Asphalt Line Items in Highway Projects. Journal of Construction Engineering and Management, 142(05).

Ioannou, P G and Yang, I (2016) Repetitive Scheduling Method: Requirements, Modeling, and Implementation. Journal of Construction Engineering and Management, 142(05).

Lopez, R, Chong, H, Wang, X and Graham, J (2016) Technical Review: Analysis and Appraisal of Four-Dimensional Building Information Modeling Usability in Construction and Engineering Projects. Journal of Construction Engineering and Management, 142(05).

Lucko, G, Araújo, L G and Cates, G R (2016) Slip Chart–Inspired Project Schedule Diagramming: Origins, Buffers, and Extension to Linear Schedules. Journal of Construction Engineering and Management, 142(05).

Prego, F J, Solla, M, Núñez-Nieto, X and Arias, P (2016) Assessing the Applicability of Ground-Penetrating Radar to Quality Control in Tunneling Construction. Journal of Construction Engineering and Management, 142(05).

Saleem, M, Al-Kutti, W A, Al-Akhras, N M and Haider, H (2016) Nondestructive Testing Procedure to Evaluate the Load-Carrying Capacity of Concrete Anchors. Journal of Construction Engineering and Management, 142(05).

Salehipour, A, Naeni, L M, Khanbabaei, R and Javaheri, A (2016) Lessons Learned from Applying the Individuals Control Charts to Monitoring Autocorrelated Project Performance Data. Journal of Construction Engineering and Management, 142(05).

Sierra, L A, Pellicer, E and Yepes, V (2016) Social Sustainability in the Lifecycle of Chilean Public Infrastructure. Journal of Construction Engineering and Management, 142(05).

Zhang, L, Wu, X and Liu, H (2016) Strategies to Reduce Ground Settlement from Shallow Tunnel Excavation: A Case Study in China. Journal of Construction Engineering and Management, 142(05).