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An exploratory study to identify rogue seasonality in a steel company's supply network using spectral principal component analysis

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  • Thornhill, Nina F.
  • Naim, Mohamed M.

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  • Thornhill, Nina F. & Naim, Mohamed M., 2006. "An exploratory study to identify rogue seasonality in a steel company's supply network using spectral principal component analysis," European Journal of Operational Research, Elsevier, vol. 172(1), pages 146-162, July.
    • Handle: RePEc:eee:ejores:v:172:y:2006:i:1:p:146-162
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    References listed on IDEAS

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    1. Berry, D & Evans, GN & Naim, MM, 1998. "Pipeline Information Survey: a UK Perspective," Omega, Elsevier, vol. 26(1), pages 115-131, February.
    2. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2003. "Measuring and avoiding the bullwhip effect: A control theoretic approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 567-590, June.
    3. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    4. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
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    Cited by:

    1. Carrizosa, Emilio & Olivares-Nadal, Alba V. & Ramírez-Cobo, Pepa, 2013. "Time series interpolation via global optimization of moments fitting," European Journal of Operational Research, Elsevier, vol. 230(1), pages 97-112.
    2. Spiegler, Virginia L.M. & Naim, Mohamed M., 2017. "Investigating sustained oscillations in nonlinear production and inventory control models," European Journal of Operational Research, Elsevier, vol. 261(2), pages 572-583.

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