Demand uncertainty in construction supply chains: a discrete event simulation study

Christos Vidilakis, John Tookey, James Sommerville

    Research output: Contribution to journal › Article

    Abstract

    The delivery of construction projects is typically an assembly operation involving a high number of subassemblies and materials brought on site by the supply chain. However, although supply chain management in construction has attracted significant attention, paradoxically little focus has been placed on construction supply networks and operations. This paper places emphasis on supply chain operations by looking at the logistics function of construction material suppliers.
    Original languageEnglish
    Pages (from-to)1194–1204
    Number of pages11
    JournalJournal of the Operational Research Society
    Volume64
    Issue number8
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Discrete event simulation
    Supply chains
    Supply chain management
    Logistics
    Uncertainty
    Demand uncertainty
    Simulation study
    Supply chain

    Keywords

    • construction supply chains
    • assembly operation
    • logistics

    Cite this

    Vidilakis, Christos ; Tookey, John ; Sommerville, James. / Demand uncertainty in construction supply chains: a discrete event simulation study. In: Journal of the Operational Research Society. 2013 ; Vol. 64, No. 8. pp. 1194–1204.
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    abstract = "The delivery of construction projects is typically an assembly operation involving a high number of subassemblies and materials brought on site by the supply chain. However, although supply chain management in construction has attracted significant attention, paradoxically little focus has been placed on construction supply networks and operations. This paper places emphasis on supply chain operations by looking at the logistics function of construction material suppliers.",
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    Vidilakis, C, Tookey, J & Sommerville, J 2013, 'Demand uncertainty in construction supply chains: a discrete event simulation study', Journal of the Operational Research Society, vol. 64, no. 8, pp. 1194–1204. https://doi.org/10.1057/jors.2012.156

    Demand uncertainty in construction supply chains: a discrete event simulation study. / Vidilakis, Christos; Tookey, John; Sommerville, James.

    In: Journal of the Operational Research Society, Vol. 64, No. 8, 2013, p. 1194–1204.

    Research output: Contribution to journal › Article

    TY - JOUR

    T1 - Demand uncertainty in construction supply chains: a discrete event simulation study

    AU - Vidilakis, Christos

    AU - Tookey, John

    AU - Sommerville, James

    PY - 2013

    Y1 - 2013

    N2 - The delivery of construction projects is typically an assembly operation involving a high number of subassemblies and materials brought on site by the supply chain. However, although supply chain management in construction has attracted significant attention, paradoxically little focus has been placed on construction supply networks and operations. This paper places emphasis on supply chain operations by looking at the logistics function of construction material suppliers.

    AB - The delivery of construction projects is typically an assembly operation involving a high number of subassemblies and materials brought on site by the supply chain. However, although supply chain management in construction has attracted significant attention, paradoxically little focus has been placed on construction supply networks and operations. This paper places emphasis on supply chain operations by looking at the logistics function of construction material suppliers.

    KW - construction supply chains

    KW - assembly operation

    KW - logistics

    U2 - 10.1057/jors.2012.156

    DO - 10.1057/jors.2012.156

    M3 - Article

    VL - 64

    SP - 1194

    EP - 1204

    JO - Journal of the Operational Research Society

    JF - Journal of the Operational Research Society

    SN - 0160-5682

    IS - 8

    ER -

    Vidilakis C, Tookey J, Sommerville J. Demand uncertainty in construction supply chains: a discrete event simulation study. Journal of the Operational Research Society. 2013;64(8):1194–1204. https://doi.org/10.1057/jors.2012.156

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