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On the impact of order volatility in the European automotive sector

Author

Listed:
  • Childerhouse, P.
  • Disney, S.M.
  • Towill, D.R.

Abstract

Order volatility is an unfortunate fact of life facing most suppliers of both products and services. In this paper we are concerned with establishing the magnitude of the problem faced by the European automotive sector. The evidence has been acquired via the site-based Quick Scan Audit Methodology (QSAM). Production scheduler strategy is thereby classified according to a new five-set schema as observed via individual value-stream volatilities. System variables have then been codified and correlated with customer order volatility. Powerful statistically significant relationships emerge from this evidence. This generally (but not wholly) supports intrinsic views on what constitutes good practice. A specific interface between supplier and OEM shows the existence of a positive loop that acts as a vicious circle to create unnecessary volatility in material flow.

Suggested Citation

  • Childerhouse, P. & Disney, S.M. & Towill, D.R., 2008. "On the impact of order volatility in the European automotive sector," International Journal of Production Economics, Elsevier, vol. 114(1), pages 2-13, July.
    • Handle: RePEc:eee:proeco:v:114:y:2008:i:1:p:2-13
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    References listed on IDEAS

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    Cited by:

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    2. Sivadasan, Suja & Smart, Janet & Huaccho Huatuco, Luisa & Calinescu, Anisoara, 2013. "Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface," International Journal of Production Economics, Elsevier, vol. 145(1), pages 253-262.
    3. Aoki, Katsuki & Staeblein, Thomas & Tomino, Takahiro, 2014. "Monozukuri capability to address product variety: A comparison between Japanese and German automotive makers," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 373-384.
    4. Clément Chatras & Vincent Giard & Mustapha Sali, 2016. "Mass customisation impact on bill of materials structure and master production schedule development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5634-5650, September.
    5. Chuang, Chia-Hung & Chiang, Chung-Yean, 2016. "Dynamic and stochastic behavior of coefficient of demand uncertainty incorporated with EOQ variables: An application in finished-goods inventory from General Motors׳ dealerships," International Journal of Production Economics, Elsevier, vol. 172(C), pages 95-109.
    6. Seuring, Stefan, 2009. "The product-relationship-matrix as framework for strategic supply chain design based on operations theory," International Journal of Production Economics, Elsevier, vol. 120(1), pages 221-232, July.
    7. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    8. Volling, Thomas & Matzke, Andreas & Grunewald, Martin & Spengler, Thomas S., 2013. "Planning of capacities and orders in build-to-order automobile production: A review," European Journal of Operational Research, Elsevier, vol. 224(2), pages 240-260.
    9. Cannella, Salvatore & Dominguez, Roberto & Ponte, Borja & Framinan, Jose M., 2018. "Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times," International Journal of Production Economics, Elsevier, vol. 204(C), pages 264-277.
    10. Zhou, Li & Disney, Stephen & Towill, Denis R., 2010. "A pragmatic approach to the design of bullwhip controllers," International Journal of Production Economics, Elsevier, vol. 128(2), pages 556-568, December.
    11. Benjamin Nitsche, 2018. "Unravelling the Complexity of Supply Chain Volatility Management," Logistics, MDPI, vol. 2(3), pages 1-26, August.
    12. Staeblein, Thomas & Aoki, Katsuki, 2015. "Planning and scheduling in the automotive industry: A comparison of industrial practice at German and Japanese makers," International Journal of Production Economics, Elsevier, vol. 162(C), pages 258-272.

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