Improving performance and the reliability of off-site pre-cast concrete production operations using simulation optimisation

Ammar Frederick Al-Bazi, N. Dawood, J. T. Dean

    Research output: Contribution to journalArticle

    11 Downloads (Pure)

    Abstract

    The increased use of precast components in building and heavy civil engineering projects has led to the introduction of innovative management and scheduling systems to meet the demand for increased reliability, efficiency and cost reduction. The aim of this study is to develop an innovative crew allocation system that can efficiently allocate crews of workers to labour-intensive repetitive processes. The objective is to improve off-site pre-cast production operations using Multi-Layered Genetic Algorithms. The Multi-Layered concept emerged in response to the modelling requirements of different sets of labour inputs. As part of the techniques used in developing the Crew Allocation “SIM_Crew” System, a process mapping methodology is used to model the processes of precast concrete operations and to provide the framework and input required for simulation. Process simulation is then used to model and imitate all production processes, and Genetic Algorithms are embedded within the simulation model to provide a rapid and intelligent search. A Multi-Layered chromosome is used to store different sets of inputs such as crews working on different shifts and process priorities. A ‘Class Interval’ selection strategy is developed to improve the chance of selecting the most promising chromosomes for further investigation. Multi-Layered Dynamic crossover and mutation operators are developed to increase the randomness of the searching mechanism for solutions in the solution space. The results illustrate that adopting different combinations of crews of workers has a substantial impact on the labour allocation cost and this should lead to increased efficiency and lower production cost. In addition, the results of the simulation show that minimum throughput time, minimum process-waiting time and optimal resource utilisation profiles can be achieved when compared to a real-life case study.
    Original languageEnglish
    Pages (from-to)335-336
    JournalITcon
    Volume25
    Publication statusPublished - Jul 2010

    Bibliographical note

    The full text is also available from: http://www.itcon.org/2010/25
    This is an open access article distributed under the terms of the Creative Commons Attribution 3.0 unported (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Keywords

    • Construction Supply Chain
    • Multi-Layered Genetic Algorithms
    • Simulation Modelling
    • Crew Allocation System
    • Precast Industry

    Fingerprint Dive into the research topics of 'Improving performance and the reliability of off-site pre-cast concrete production operations using simulation optimisation'. Together they form a unique fingerprint.

    Cite this