Evaluation of queuing systems for knowledge-based simulation of construction processes

    Authors

    R. Akhavian;A. H. Behzadan

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Autom. Constr.

    Keywords

    Construction; Infrastructure; Simulation; Discrete event simulation; Queue; Queue discipline; Wireless data collection; Data mining; Knowledge; Ultra wideband; PRIORITY-QUEUES; OPERATIONS; Construction & Building Technology; Engineering, Civil

    Abstract

    During the course of a construction project, there are many situations in which formation of waiting lines or queues is inevitable. The effect of resource delays in queues on the overall project completion time and cost has motivated researchers to employ simulation for analysis of queuing systems in order to identify the best operational strategies to reduce the time wasted in queues. Providing proper and timely input data with high spatial and temporal accuracy for queuing systems simulation enhances the reliability of decisions made based upon the simulation output. Hence, the presented paper describes a methodology for collecting and mining of spatiotemporal data corresponding to the interactions of queue entities to extract computer interpretable knowledge for simulation input modeling. The developed framework was validated using empirical datasets collected from a series of experiments. The extracted relevant knowledge from the queuing system entities was used to update corresponding simulation models. (C) 2014 Elsevier B.V. All rights reserved.

    Journal Title

    Automation in Construction

    Volume

    47

    Publication Date

    1-1-2014

    Document Type

    Article

    Language

    English

    First Page

    37

    Last Page

    49

    WOS Identifier

    WOS:000343684700004

    ISSN

    0926-5805

    Share

    COinS