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Childerhouse, P.; Disney, Stephen Michael; Towill, Denis Royston (2008)
Publisher: Elsevier
Languages: English
Types: Article
Subjects: HD28, TL, H1, HB, HD, HE
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.
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    • Bergtsson L, Elg U, Lind J-L. 1997 Bridging the Transatlantic Publishing Gap ~ How North American Reviewers Evaluate European Ideographic Research. Scandinavian Journal of Management, 13 ( 4), 473-492.
    • Building of a Closed-Coupled Production-Distribution Systems. Engineering. Costs and Production Economics, 13, 295-310.
    • Burger, E.B., Starbird, M. 2005 Co-Incidences, Chaos, and All That Math Jazz ~ Making Light of Weighty Ideas. London: Norton and Co.
    • Buxey, G. 2001 Strategy Not Tactics Drives Aggregate Planning. Proceedings 16 International Conference of Production Research, Prague, Paper No. 0017, pp1- 17.
    • Chen, H., Frank, M.Z., Wu, O.Q. (2005) “What Actually Happened to the Inventories of American Companies Between 1981 and 2000?” Management Science, 51, (7), 1015-1031.
    • Childerhouse, P., 2002, Enabling Seamless Market-Orientated Supply Chains, PhD Thesis, Cardiff University.
    • Dejonckheere, J., Disney, S.M., Lambrecht, M.R., Towill, D.R. 2003 The Dynamics of Aggregate Planning. International Journal of Production Planning and Control, 14 (6), 497-516.
    • Dejonckheere, J., Disney, S.M., Lambrecht, M.R., Towill, D.R. 2002 Transfer Function Analysis of Forecasting Induced Bullwhip in Supply Chains. International Journal of Production Economics, 78 (2), 133-144.
    • Disney, S.M., Towill, D.R. 2003 On the Bullwhip and Inventory Variance Produced by an Ordering Policy, OMEGA: The International Journal of Management Science, 31 (3), 157-167.
    • Dyer, W.G. Jr, Wilkins, A.L. 1991 Better Stories, Not Better Constructs, to Generate Better Theory: A Rejoinder to Eisenhardt. Academy of Management, The Academy of Management Review, 16 (3), 613-619.
    • Eisenhardt, K. 1989 Building Theories from Case Study Research. Academy of Management Review, 14 (4), 532-550.
    • Forrester, J. 1958 Industrial Dynamics - a Major Breakthrough for Decision-Makers. Harvard Business Review 36(4), 37-66.
    • Fransoo, J.C., Wouters, M.J.F. 2000 Measuring the Bullwhip Effect in the Supply Chain. International Journal of Supply Chain Management 5(2), 78-89.
    • Harrison, A. 1996 An Investigation of the Impact of Schedule Stability on Supplier Responsiveness. International Journal of Logistics Management, 7 (1), 83-91.
    • Hines, P., Rich, N. 1997 The seven value stream mapping tools. International Journal of Operations and Production Management, 17 (1), 46-64.
    • Holmström, J. 1997 Product Range Management: A Case Study of Supply Chain Operations in the European Grocery Industry. Supply Chain Management: An International Journal, 2 (3), 107-115.
    • Childerhouse, P., Disney, S.M., and Towill, D.R., (2008), “On the impact of order volatility in the European automotive sector”, International Journal of Production Economics, Vol. 114, No. 1, pp2-13. ISSN 0925-5273. DOI: 10.1016/j.ijpe.2007.09.008. 19
    • Hoover, W.E., Tyreman, M., Westh, J., Wollung, P. 1996 Order to Payment. The McKinsey Quarterly, 1, 38-49.
    • Lee, H.L., Padmanabhan, V., Whang, S. 1997 The Bullwhip Effect in a Supply Chain. Sloan Management Review, 38 (3), 93-102.
    • Liker, J.K., Wu, Y-C. 2000 Japanese Automakers, US Suppliers and Supply Chain Superiority. Sloan Management Review, 42 (1), 81-93.
    • McCullen, P., Towill, D.R. 2002 Diagnosis and Reduction of Bullwhip in Supply Chains. International Journal of Supply Chain Management, 7 (3), 164-179.
    • Metters, R., 1997 Quantifying the bullwhip effect in supply chains, Journal of Operations Management, 15 (2), 89-100.
    • Micklethwait, J.,Wooldridge, A. 1996 The Witch Doctors - What the Management Gurus are Saying, Why it Matters, and How to Make Sense of It. London: Mandarin Books.
    • Mollick, A.V. 2004 Production Smoothing in the Japanese Vehicle Industry. International Journal of Production Economics, 91, 63-74.
    • Naim, M.M., Childerhouse, P, Disney, S.M. and Towill, D.R. 2002. A Supply Chain Diagnostic Methodology ~ Determining the Vector of Change. Computers and Industrial Engineering, 43, 135-157.
    • Olsmats, C., Edgehill, J.,Towill, D.R. 1988 Industrial Dynamics Model Ottosson, S., Borg, E. 2004 Research on Dynamic Systems - Some Considerations. Technovation, 24 (11), 863-869.
    • Schonberger, R. 2007 Japanese Production Management: An Evolution - with Mixed Success. Journal of Operations Management, 25, 403-419.
    • Sterman, J. 1989 Modelling Managerial Behaviour: Misperceptions of Feedback in a Dynamic Decision-Making Experiment. Management Science, 35 (3), 321-339.
    • Suzaki, K. 1987 The New Manufacturing Challenge: Techniques for Continuous Improvement. New York: The Free Press.
    • Towill, D.R., Childerhouse, P. 2006 Enabling the Seamless Supply Chain by Exploiting the Four Smooth Material Flow Controls. Production Planning and Control, 17 (8), 756-768.
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