The effects of schedule volatility on supply chain performance

International Journal of Logistics Research and Applications

Volumn 12, Issue 4, 2009, Pages 313-328

  Childerhouse, P ^a   Disney, S M ^b   Towill, D R ^b  

^a UNIVERSITY OF WAIKATO   (New Zealand)

^b CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Automotive vs. non automotive; Empirical case investigation; Performance evaluation; Schedule volatility; Supply chain management

Indexed keywords

EID: 77949370552     PISSN: 13675567     EISSN: 1469848X     Source Type: Journal    
DOI: 10.1080/13675560903076206     Document Type: Article

References (46)

1. Ashby, W.R., 1956. Self regulation and requisite variety. In: F.E. Emery, ed. Systems thinking (1981). Harmondsworth: Penguin Books, 25-56.
2. Buffa, E.S., 1969. Modern production management. NewYork: John Wiley and Sons, Inc.
3. Burger, E.B. and Starbird, M., 2005. Co-incidences, chaos, and all that Math Jazz. NewYork: Norton and Co.
4. Chatfield, D.C. et al., 2004. The bullwhip effect - impact of stochastic lead time, information quality, and information sharing: A simulation study. Production and Operations Management, 13 (4), 340-353.
5. Childerhouse, P. and Towill, D.R., 2003. Simplified material flow holds the key to supply chain integration. OMEGA, 31, 17-27.
6. Childerhouse, P. and Towill, D.R., 2004. Reducing uncertainty in European supply chains. Journal of Manufacturing Technology Management, 15 (7), 585-598.
7. 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, 114, 2-13.
8. Dejonckheere, J. et al., 2002. Transfer function analysis of forecasting induced bullwhip in supply chains. International Journal of Production Economics, 78 (2), 133-144.
9. Disney, S.M. et al., 2005. Smooth is smart: bullwhip, inventory, fill-rates and the golden ratio. Tijdschrift Voor Economie en Management, L (2), 167-185.
10. Forrester, J., 1958. Industrial dynamics a major breakthrough for decision-makers. Harvard Business Review, 36 (4), 37-66.
11. Fransoo, J.C. and Wouters, M.J.F., 2000. Measuring the bullwhip effect in the supply chain. International Journal of Supply Chain Management, 5 (2), 78-89.
12. Geary, S., Disney, S.M., and Towill, D.R., 2006. On bullwhip in supply chains historical review, present practice and expected future impact. International Journal of Production Economics, 101, 2-18.
13. Gilliland, M. and Prince, D., 2001. New approaches to 'unforecastable' demand. Journal of Business Forecasting, 20,9-12.
14. Hariharan, R. and Zipkin, P., 1995. Customer-order information, leadtimes, and inventories. Management Science, 41 (10),1599-1607.
15. Harrison, A., 1995. Themes for facilitating material flow in manufacturing systems. International Journal of Operations Management, 25 (10), 3-25.
16. Harrison, A., 1996. An investigation of the impact of schedule stability on supplier responsiveness. International Journal of Logistics Management, 7 (1), 83-91.
17. Hayya, J.C. et al., 2006. Estimation in supply chain management. International Journal of Production Research, 44 (7), 1313-1330.
18. Holmström, J., 1997. Product range management: acase study of supply chain operations in the European grocery industry. Supply Chain Management: An International Journal, 2 (3), 107-115.
19. Hoover, W.E. et al., 1996. Order to payment. The McKinsey Quarterly, (1), 38-49.
20. Hopp, W. and Spearman, M., 2001. Factory physics: foundations for manufacturing management. New York: McGraw Hill Higher Education.
21. Houlihan, J.B., 1984, Supply chain management. Proceedings of the 19th International Technical Conference, BPICS, 101-110.
22. Lee, H.L., Padmanabhan, V., and Whang, S., 1997. The bullwhip effect in a supply chain. Sloan Management Review, 38, 93-102.
23. Liker, J.K., 2004. The Toyota way-14 management principles from the world's greatest manufacturer. NewYork:McGraw Hill.
24. Liker, J.K. and Wu, Y-C., 2000. Japanese automakers, US suppliers and supply chain superiority. Sloan Management Review, 41 (1), 81-93.
25. Mason-Jones, R. and Towill, D.R., 1998. Shrinking the supply chain uncertainty circle, 'control'. Journal of the Institute of Operations Management, 24 (7), 17-22.
26. Metters, R., 1997. Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15 (2), 89-100.
27. Micklethwait, J. and 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.
28. Naim, M.M. et al., 2002. A supply chain diagnostic methodology - determining the vector of change. Computers and Industrial Engineering, 43, 135-157.
29. Ohno, T., 1988, Toyota production system: beyond large scale production. Cambridge, MA: Productivity Press.
30. Olsmats, C., Edgehill, J., and Towill, D.R., 1988. Industrial dynamics model building of a closed-coupled production- distribution systems. Engineering Costs and Production Economics, 13, 295-310.
31. Parnaby, J. 1979. Concept of a manufacturing system. International Journal of Production Research, 17 (2), 123-135.
32. Parnaby, J., 1988. A systems approach to the implementation of JIT methodologies in Lucas Industries. International Journal of Production Research, 26 (3), 483-492.
33. Parnaby, J., 1995. Systems engineering for better engineering, Engineering Management Journal, 5 (6), 256-266.
34. Parnaby, J., Wearne, S., and Kochhar, A., 2003. Managing by projects for business success. Bury St Edmunds: Professional Engineering Publications Limited.
35. Potter, A.T., Towill, D.R., and Disney, S.M., 2005. Determination of when a little bullwhip may be helpful. In: Proceedings of the 18th international conference on production research, 31 July-4 August, Salerno, Italy.
36. Scala, J., Purdy, L., and Satageni, F., 2006. Application of cybernetics to manufacturing flexibility. A System Perspective, 17 (1),22-41.
37. Spear, S. and Bowen, H.K., 1999. Decoding the DNA of the Toyota production systems. Harvard Business Review, September-October, 97-106.
38. Sterman, J., 1989. Modelling managerial behaviour: misperceptions of feedback in a dynamic decision-making experiment. Management Science, 35 (3), 321-339.
39. Suzaki, K., 1987. The new manufacturing challenge: techniques for continuous improvement. NewYork: The Free Press.
40. Towill, D.R., 1996. Time compression and supply chain management - a guided tour. Supply Chain Management, 1 (1), 15-27.
41. Towill, D.R., 2006. Smooth is smart the hidden virtue of the Toyota production system. IEE Manufacturing Engineer, 85 (2),18-23.
42. Towill, D.R. and McCullen, P., 1999. The impact of an agile manufacturing programme on supply chain dynamics. International Journal of Logistics Management, 10 (1), 83-96.
43. Towill, D.R. and Childerhouse, P., 2006. Enabling the seamless supply chain by exploiting the four smooth material flow controls. Production Planning and Control, 17 (8), 756-768.
44. Warnecke, H.J. and Hüser, M. 1995. Lean production. International Journal of Production Economics, 41 (1), 37-43.
45. Wikner, J., Towill, D.R., and Naim, M.M., 1991. Smoothing supply chain dynamics. International Journal of Production Economics, 22, 231-248.
46. Womack, J.P. and Jones, D.T., 1996. Lean thinking. NewYork: Simon and Schuster.