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Demand forecast accuracy and performance of inventory policies under multi-level rolling schedule environments

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  • Jeunet, Jully

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  • Jeunet, Jully, 2006. "Demand forecast accuracy and performance of inventory policies under multi-level rolling schedule environments," International Journal of Production Economics, Elsevier, vol. 103(1), pages 401-419, September.
  • Handle: RePEc:eee:proeco:v:103:y:2006:i:1:p:401-419
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    References listed on IDEAS

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    1. Stadtler, Hartmut, 2000. "Improved rolling schedules for the dynamic single level lot sizing problem," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 14079, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Dellaert, Nico & Jeunet, Jully, 2003. "Controlling multi-level production in a rolling-schedule environment," International Journal of Production Economics, Elsevier, vol. 85(1), pages 113-121, July.
    3. Russell, R. A. & Urban, T. L., 1993. "Horizon extension for rolling production schedules: Length and accuracy requirements," International Journal of Production Economics, Elsevier, vol. 29(1), pages 111-122, February.
    4. repec:dau:papers:123456789/2057 is not listed on IDEAS
    5. De Bodt, Marc A. & Van Wassenhove, Luk N. & Gelders, Ludo F., 1982. "Lot sizing and safety stock decisions in an MRP system with demand uncertainty," Engineering Costs and Production Economics, Elsevier, vol. 6(1), pages 67-75, April.
    6. Harvey M. Wagner & Thomson M. Whitin, 1958. "Dynamic Version of the Economic Lot Size Model," Management Science, INFORMS, vol. 5(1), pages 89-96, October.
    7. Simpson, N. C., 1999. "Multiple level production planning in rolling horizon assembly environments," European Journal of Operational Research, Elsevier, vol. 114(1), pages 15-28, April.
    8. Hartmut Stadtler, 2000. "Improved Rolling Schedules for the Dynamic Single-Level Lot-Sizing Problem," Management Science, INFORMS, vol. 46(2), pages 318-326, February.
    9. Rolf A. Lundin & Thomas E. Morton, 1975. "Planning Horizons for the Dynamic Lot Size Model: Zabel vs. Protective Procedures and Computational Results," Operations Research, INFORMS, vol. 23(4), pages 711-734, August.
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    Cited by:

    1. Barba-Gutierrez, Y. & Adenso-Diaz, B. & Gupta, S.M., 2008. "Lot sizing in reverse MRP for scheduling disassembly," International Journal of Production Economics, Elsevier, vol. 111(2), pages 741-751, February.
    2. Erjavec, J. & Gradisar, M. & Trkman, P., 2012. "Assessment of stock size to minimize cutting stock production costs," International Journal of Production Economics, Elsevier, vol. 135(1), pages 170-176.
    3. R Fildes & B Kingsman, 2011. "Incorporating demand uncertainty and forecast error in supply chain planning models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 483-500, March.
    4. Klaus Altendorfer & Thomas Felberbauer & Herbert Jodlbauer, 2018. "Effects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand," Papers 1812.00773, arXiv.org.
    5. Tratar, Liljana Ferbar, 2010. "Joint optimisation of demand forecasting and stock control parameters," International Journal of Production Economics, Elsevier, vol. 127(1), pages 173-179, September.

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