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A simulation framework for forecasting uncertain lumpy demand

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  • Bartezzaghi, Emilio
  • Verganti, Roberto
  • Zotteri, Giulio

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  • Bartezzaghi, Emilio & Verganti, Roberto & Zotteri, Giulio, 1999. "A simulation framework for forecasting uncertain lumpy demand," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 499-510, March.
    • Handle: RePEc:eee:proeco:v:59:y:1999:i:1-3:p:499-510
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    1. Derek Bunn & George Wright, 1991. "Interaction of Judgemental and Statistical Forecasting Methods: Issues & Analysis," Management Science, INFORMS, vol. 37(5), pages 501-518, May.
    2. Hirofumi Matsuo, 1990. "A Stochastic Sequencing Problem for Style Goods with Forecast Revisions and Hierarchical Structure," Management Science, INFORMS, vol. 36(3), pages 332-347, March.
    3. Kekre, Sunder & Morton, Thomas E. & Smunt, Timothy L., 1990. "Forecasting using partially known demands," International Journal of Forecasting, Elsevier, vol. 6(1), pages 115-125.
    4. Bartezzaghi, Emilio & Verganti, Roberto, 1995. "Managing demand uncertainty through order overplanning," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 107-120, August.
    5. Gabriel R. Bitran & Elizabeth A. Haas & Hirofumi Matsuo, 1986. "Production Planning of Style Goods with High Setup Costs and Forecast Revisions," Operations Research, INFORMS, vol. 34(2), pages 226-236, April.
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    Cited by:

    1. Nenes, George & Panagiotidou, Sofia & Tagaras, George, 2010. "Inventory management of multiple items with irregular demand: A case study," European Journal of Operational Research, Elsevier, vol. 205(2), pages 313-324, September.
    2. Murphy Choy & Michelle L. F. Cheong, 2011. "Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting," Papers 1110.0062, arXiv.org.
    3. Corey Ducharme & Bruno Agard & Martin Trépanier, 2024. "Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1661-1681, August.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Bartezzaghi, Emilio & Verganti, Roberto & Zotteri, Giulio, 1999. "Measuring the impact of asymmetric demand distributions on inventories," International Journal of Production Economics, Elsevier, vol. 60(1), pages 395-404, April.
    6. Zotteri, Giulio & Verganti, Roberto, 2001. "Multi-level approaches to demand management in complex environments: an analytical model," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 221-233, May.
    7. Ghobbar, A.A & Friend, C.H, 2002. "Sources of intermittent demand for aircraft spare parts within airline operations," Journal of Air Transport Management, Elsevier, vol. 8(4), pages 221-231.
    8. Gutierrez, Rafael S. & Solis, Adriano O. & Mukhopadhyay, Somnath, 2008. "Lumpy demand forecasting using neural networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 409-420, February.
    9. Jože Martin Rožanec & Blaž Fortuna & Dunja Mladenić, 2022. "Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    10. Syntetos, A.A. & Teunter, R.H. & Babai, M.Z. & Transchel, S., 2016. "On the benefits of delayed ordering," European Journal of Operational Research, Elsevier, vol. 248(3), pages 963-970.
    11. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The impact of forecasting on companies' performance: Analysis in a multivariate setting," International Journal of Production Economics, Elsevier, vol. 133(1), pages 458-469, September.
    12. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    13. Pujawan, I. Nyoman & Kingsman, Brian G., 2003. "Properties of lot-sizing rules under lumpy demand," International Journal of Production Economics, Elsevier, vol. 81(1), pages 295-307, January.
    14. Muñoz Negrón, David F. & Muñoz Medina, Diego F., 2009. "Bayesian Forecastings For Automobile Parts Using Stochastic Simulation," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 14(27), pages 7-20.
    15. Bacchetti, Andrea & Saccani, Nicola, 2012. "Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice," Omega, Elsevier, vol. 40(6), pages 722-737.
    16. Erick Sager & Olga A. Timoshenko, 2021. "Demand Uncertainty, Selection, and Trade," DETU Working Papers 2104, Department of Economics, Temple University.

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