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Push and pull strategies in multi‐stage assembly systems

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  • N. P. Dellaert
  • A. G. De Kok
  • Wang Wei

Abstract

In convergent multi‐stage systems usually a pull strategy is assumed, where demand at the end stock‐point triggers demands (or production) at the proceeding stock‐point, whereas in the push strategy demand is triggered at the initial stock‐point. We will extensively describe the calculation procedure for the push strategy. For analyzing the pull strategy we will use existing methods. The equivalence and differences between these two strategies will be illustrated for a two‐stage assembly case.

Suggested Citation

  • N. P. Dellaert & A. G. De Kok & Wang Wei, 2000. "Push and pull strategies in multi‐stage assembly systems," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 54(2), pages 175-189, July.
    • Handle: RePEc:bla:stanee:v:54:y:2000:i:2:p:175-189
    DOI: 10.1111/1467-9574.00135
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    Cited by:

    1. Dellaert, Nico & de Kok, Ton, 2004. "Integrating resource and production decisions in a simple multi-stage assembly system," International Journal of Production Economics, Elsevier, vol. 90(3), pages 281-294, August.
    2. Taş, D. & Gendreau, M. & Dellaert, N. & van Woensel, T. & de Kok, A.G., 2014. "Vehicle routing with soft time windows and stochastic travel times: A column generation and branch-and-price solution approach," European Journal of Operational Research, Elsevier, vol. 236(3), pages 789-799.
    3. Taş, Duygu & Gendreau, Michel & Jabali, Ola & Jans, Raf, 2019. "A capacitated lot sizing problem with stochastic setup times and overtime," European Journal of Operational Research, Elsevier, vol. 273(1), pages 146-159.

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