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A lean-agile model of homebuilders' production systems

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Author Info

  • Weizhuo Lu
  • Thomas Olofsson
  • Lars Stehn
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    Abstract

    A lean-agile model of homebuilders' production systems is proposed in this research. Value stream mapping is utilized to clarify the proposed lean-agile model, in which pull and Kanban are used to ensure smooth production upstream of the de-coupling point, while fluctuating market demands in terms of variety of homes and variability of volumes are managed by the agile process downstream of the de-coupling point. The de-coupling point is used to provide components to downstream agile process and shield upstream smooth production from market fluctuations. A simulation model is developed to evaluate and validate the effectiveness of the proposed lean-agile model. Simulation experiments show that the lean-agile model prevents the accumulation of high inventory levels and thus provides better customization opportunities for clients compared to even-flow-construction. It also provides a more stable process with shorter cycle times compared to sales-driven production. The proposed lean-agile model offers new possibilities for homebuilders to manage the balance between meeting fluctuating market demands and stabilizing the production system.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/01446193.2010.531027
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Construction Management and Economics.

    Volume (Year): 29 (2011)
    Issue (Month): 1 ()
    Pages: 25-35

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    Handle: RePEc:taf:conmgt:v:29:y:2011:i:1:p:25-35

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    Web page: http://www.tandfonline.com/RCME20

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    Web: http://www.tandfonline.com/pricing/journal/RCME20

    Related research

    Keywords: Agile; housing construction; lean; simulation;

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    Cited by:
    1. Purvis, Laura & Gosling, Jonathan & Naim, Mohamed M., 2014. "The development of a lean, agile and leagile supply network taxonomy based on differing types of flexibility," International Journal of Production Economics, Elsevier, vol. 151(C), pages 100-111.

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