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    Study on construction material allocation policies: A simulation optimization method

    Access Status
    Fulltext not available
    Authors
    Lu, H.
    Wang, H.
    Xie, Y.
    Wang, Xiangyu
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Lu, H. and Wang, H. and Xie, Y. and Wang, X. 2018. Study on construction material allocation policies: A simulation optimization method. Automation in Construction. 90: pp. 201-212.
    Source Title
    Automation in Construction
    DOI
    10.1016/j.autcon.2018.02.012
    ISSN
    0926-5805
    School
    School of Design and the Built Environment
    URI
    http://hdl.handle.net/20.500.11937/68023
    Collection
    • Curtin Research Publications
    Abstract

    Due to uncertainty in both demand and supply, material shortages are difficult to completely avoid. To reduce the effect on the schedule and cost performance of construction projects, managers should allocate limited material among activities effectively. Motivated by observations of construction practices, this paper investigates the integration of supply logistics and site logistics issues and develops a framework to model inventory replenishment and allocation decisions jointly. On the basis of the activity feature information (e.g., schedule, cost, and demand), we propose five allocation policies to support the integrated inventory management process: schedule-based, cost-based, demand-based, schedule-cost-based, and schedule-demand-based policies. Meanwhile, a genetic algorithm (GA)-based simulation optimization method is utilized to solve the integrated inventory model and find the optimal inventory level under a given allocation policy. Based on a large set of fictitious project networks with different path difference (PD), a computational analysis is conducted to make detailed interpolicy comparisons. It is shown that for a project network with a small (or large) PD value, the schedule-based (or schedule-cost-based) policy is the most appropriate choice.

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