Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry

    Research output: Contribution to conferencePaper

    23 Downloads (Pure)

    Abstract

    The increasing complexity of solving crew allocation problems in a number of labour-intensive industries has led them to require more sophisticated and innovative allocation systems to satisfy such requirements. The aim of this study is to develop an innovative crew allocation system that can efficiently allocate possible crews of workers to precast concrete labour-intensive repetitive processes in order reduce the allocation cost and achieve a better flow of work. As a part of the methodology used in developing Crew Allocation System ‘SIMSA_Crew’, process simulation is used to model and imitate all production processes involved and Simulated Annealing is then developed to be embedded within the simulation model for a rapid and intelligent search. A Dynamic Mutation operator is developed to add more randomness to the searching mechanism for solutions through solution space. The results showed that adopting different combinations of crews of workers had a substantial impact on reducing and minimising production cost.
    Original languageEnglish
    Pages90-96
    Number of pages7
    Publication statusPublished - 2013
    EventOR55 Annual Conference - Exeter, UK, Exeter, United Kingdom
    Duration: 3 Sep 20135 Sep 2013

    Conference

    ConferenceOR55 Annual Conference
    CountryUnited Kingdom
    CityExeter
    Period3/09/135/09/13

    Fingerprint

    Simulated annealing
    Personnel
    Precast concrete
    Costs
    Industry

    Bibliographical note

    The full text is available from: http://www.theorsociety.com/DocumentRepository/Browse.aspx?DocID=347

    Keywords

    • Simulated annealing
    • process simulation modelling
    • multi-layered crew vector
    • crew allocation problem
    • precast industry

    Cite this

    Al-Bazi, A. (2013). Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry. 90-96. Paper presented at OR55 Annual Conference, Exeter, United Kingdom.

    Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry. / Al-Bazi, Ammar.

    2013. 90-96 Paper presented at OR55 Annual Conference, Exeter, United Kingdom.

    Research output: Contribution to conferencePaper

    Al-Bazi, A 2013, 'Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry' Paper presented at OR55 Annual Conference, Exeter, United Kingdom, 3/09/13 - 5/09/13, pp. 90-96.
    Al-Bazi A. Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry. 2013. Paper presented at OR55 Annual Conference, Exeter, United Kingdom.
    Al-Bazi, Ammar. / Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry. Paper presented at OR55 Annual Conference, Exeter, United Kingdom.7 p.
    @conference{ca8d01ecc056471e890d6e1c7c4fb45a,
    title = "Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry",
    abstract = "The increasing complexity of solving crew allocation problems in a number of labour-intensive industries has led them to require more sophisticated and innovative allocation systems to satisfy such requirements. The aim of this study is to develop an innovative crew allocation system that can efficiently allocate possible crews of workers to precast concrete labour-intensive repetitive processes in order reduce the allocation cost and achieve a better flow of work. As a part of the methodology used in developing Crew Allocation System ‘SIMSA_Crew’, process simulation is used to model and imitate all production processes involved and Simulated Annealing is then developed to be embedded within the simulation model for a rapid and intelligent search. A Dynamic Mutation operator is developed to add more randomness to the searching mechanism for solutions through solution space. The results showed that adopting different combinations of crews of workers had a substantial impact on reducing and minimising production cost.",
    keywords = "Simulated annealing, process simulation modelling, multi-layered crew vector, crew allocation problem, precast industry",
    author = "Ammar Al-Bazi",
    note = "The full text is available from: http://www.theorsociety.com/DocumentRepository/Browse.aspx?DocID=347; OR55 Annual Conference ; Conference date: 03-09-2013 Through 05-09-2013",
    year = "2013",
    language = "English",
    pages = "90--96",

    }

    TY - CONF

    T1 - Simulation-Based Optimisation Using Simulated Annealing for Crew Allocation in the Precast Industry

    AU - Al-Bazi, Ammar

    N1 - The full text is available from: http://www.theorsociety.com/DocumentRepository/Browse.aspx?DocID=347

    PY - 2013

    Y1 - 2013

    N2 - The increasing complexity of solving crew allocation problems in a number of labour-intensive industries has led them to require more sophisticated and innovative allocation systems to satisfy such requirements. The aim of this study is to develop an innovative crew allocation system that can efficiently allocate possible crews of workers to precast concrete labour-intensive repetitive processes in order reduce the allocation cost and achieve a better flow of work. As a part of the methodology used in developing Crew Allocation System ‘SIMSA_Crew’, process simulation is used to model and imitate all production processes involved and Simulated Annealing is then developed to be embedded within the simulation model for a rapid and intelligent search. A Dynamic Mutation operator is developed to add more randomness to the searching mechanism for solutions through solution space. The results showed that adopting different combinations of crews of workers had a substantial impact on reducing and minimising production cost.

    AB - The increasing complexity of solving crew allocation problems in a number of labour-intensive industries has led them to require more sophisticated and innovative allocation systems to satisfy such requirements. The aim of this study is to develop an innovative crew allocation system that can efficiently allocate possible crews of workers to precast concrete labour-intensive repetitive processes in order reduce the allocation cost and achieve a better flow of work. As a part of the methodology used in developing Crew Allocation System ‘SIMSA_Crew’, process simulation is used to model and imitate all production processes involved and Simulated Annealing is then developed to be embedded within the simulation model for a rapid and intelligent search. A Dynamic Mutation operator is developed to add more randomness to the searching mechanism for solutions through solution space. The results showed that adopting different combinations of crews of workers had a substantial impact on reducing and minimising production cost.

    KW - Simulated annealing

    KW - process simulation modelling

    KW - multi-layered crew vector

    KW - crew allocation problem

    KW - precast industry

    M3 - Paper

    SP - 90

    EP - 96

    ER -