Measuring and avoiding the bullwhip effect: A control theoretic approach

European Journal of Operational Research

Volumn 147, Issue 3, 2003, Pages 567-590

  Dejonckheere, J ^a   Disney, S M ^b   Lambrecht, M R ^c   Towill, D R ^b  

^a GE Power Controls Belgium   (Belgium)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Bullwhip effect; Production smoothing; Replenishment rule; Supply chain management; Systems dynamics

Indexed keywords

FORECASTING; INDUSTRIAL MANAGEMENT; INVENTORY CONTROL;

SUPPLY CHAIN MANAGEMENT;

OPERATIONS RESEARCH;

EID: 0037449229     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(02)00369-7     Document Type: Article

References (41)

1. Adelson R.M. The dynamic behaviour of linear forecasting and scheduling rules. Operational Research Quarterly. 17(4):1966;447-462.
2. Aseltine J.A. Transform methods in linear system analysis. 1958;The Maple Press Company, New York.
3. Baganha M.P., Cohen M.A. The stabilising effect of inventory in supply chains. Operations Research. 46(3):1998;572-583.
4. Bertrand J.W.M. Balancing production level variations in complex production systems. International Journal of Production Research. 24(5):1986;1059-1074.
5. Bonney M.C., Popplewell K. Design of production control systems: Choice of systems structure and systems implementation sequence. Engineering Costs and Production Economics. 15:1988;173-189.
6. Bonney M.C., Popplewell K., Matoug M. Effect of errors and delays in inventory reporting on production system performance. International Journal of Production Research. 35:1994;93-105.
7. Chatfield C. The Analysis of Time Series: An Introduction Texts in Statistical Sciences. 1996;283 Chapman & Hall, London.
8. Chen F., Drezner Z., Ryan J., Simchi-Levi D. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science. 46(3):2000;436-443.
9. Chen F., Ryan J., Simchi-Levi D. The impact of exponential smoothing forecasts on the bullwhip effect. Naval Research Logistics. 47(4):2000;271-286.
10. Cochran W.T., Cooley J.W., Favin D.L., Helms H.D., Kaenel R.A., Lang W.W., Maling G.C., Nelson D.E., Rader C.M., Welch P.D. What is the fast Fourier transform? IEEE Transactions on Audio Electro-acoustics AU. 15(2):1967;45-55.
11. Dejonckheere, J., Disney, S.M., Lambrecht, M.R., Towill, D.R. Transfer function analysis of forecasting induced bullwhip in supply chains. International Journal of Production Economics, in press.
12. Deziel D.P., Eilon S. A linear production-inventory control rule. The Production Engineer. 43:1967;93-104.
13. Disney, S.M., 2001. The production and inventory control problem in Vendor Managed Inventory supply chains, Ph.D. Thesis, Cardiff University, UK.
14. Elmaghraby S.E. The Design of Production Systems. 1966;Reinhold Publishing Corporation, New York.
15. Forrester, J., 1958. Industrial Dynamics, A major breakthrough for decision makers, Harvard Business Review, July-August, pp. 67-96.
16. Forrester J. Industrial Dynamics. 1961;MIT Press, Cambridge, MA.
17. Garnell P., East D.J. Guided Weapons Control Systems. 1977;Pergamon Press, Oxford.
18. Grubbström, R.W., 1998, The fundamental equations of MRP theory in discrete time. Working Paper No. 254, Department of Production Economics, Linköping University, Sweden.
19. Houpis C.H., Lamont G.B. Digital Control Systems. 1985;McGraw-Hill, New York.
20. John S., Naim M.M., Towill D.R. Dynamic analysis of a WIP compensated decision support system. International Journal Manufacturing System Design. 1(4):1994;283-297.
21. Jury E.I. Theory and application of the z-transform method. 1964;Robert E. Krieger Publishing Company, New York.
22. Kaminsky P., Simchi-Levi D. A new computerized beer game: A tool for teaching the value of integrated supply chain management. POMS Series in Technology and Operations Management. 1:1998;216-225.
23. Kaminsky, P., Simchi-Levi, D., Simchi-Levi, E., 2000. Designing and managing the supply chain. McGraw-Hill Higher Education, p. 321.
24. Karlin S. One stage inventory models with uncertainty. Karlin S., Scarf H. Studies in the Mathematical Theory of Inventory and Production. 1958;109-134 Stanford University Press.
25. Lambrecht M., Dejonckheere J. Extending the beer game to include real-life supply chain characteristics. Bartezzaghi E., Filippini R., Spina G., Vinelli A. Managing Operations Networks. 1999;237-243 Servizi Grafici Editoriale, Padova.
26. Lee H.L., Padmanabhan V., Whang S. The Bullwhip effect in supply chains. Sloan Management Review. Spring:1997;93-102.
27. Lee H.L., Padmanabhan V., Whang S. Information distortion in a supply chain: The bullwhip effect. Management Science. 43(4):1997;546-558.
28. Lee H.L., So K.C., Tang C.S. The value of information sharing in a two level supply chain. Management Science. 46(5):2000;628-643.
29. Makridakis S., Wheelwright S.C., McGee V.E. Forecasting: Methods and Applications. 1978;John Wiley & Sons, New York.
30. Nise N.S. Control Systems Engineering. 1995;The Benjamin/Cummings Publishing Company Inc. California.
31. Porges, S.W., Bohrer, R.E., 1991. The analysis of periodic processes in psychophysiological research, working paper (downloadable from http://www.wam.umd.edu/̃sporges/bohrer.htm ).
32. Simon H.A. On the application of servomechanism theory in the study of production control. Econometrica. 20:1952;247-268.
33. Sterman J. Modelling managerial behaviour: Misperceptions of feedback in a dynamic decision making experiment. Management Science. 35(3):1989;321-339.
34. Sterman J. Business Dynamics, Systems Thinking and Modelling for a Complex World. 2000;982 Irwin McGraw-Hill, New York.
35. Towill D.R. Transfer Function Techniques for Control Engineers. 1970;Iliffe Books, London.
36. Towill D.R. Dynamic analysis of an inventory and order based production control system. International Journal of Production Research. 20:1982;369-383.
37. Towill, D.R., 1999. Fundamental theory of bullwhip induced by exponential smoothing algorithm, MASTS Occasional Paper No. 61, Cardiff University.
38. Towill D.R., del Vecchio A.L. Application of filter theory to the study of supply chain dynamics. Production Planning and Control. 5(1):1995;82-96.
39. Towill D.R., Yoon S.S. Some features common to inventory system and process controller design. Engineering Costs and Production Economics. 6:1982;225-236.
40. Vassian H.J. Application of discrete variable servo theory to inventory control. Operations Research. 3:1955;272-282.
41. Wikner, J., 1994. Dynamic modelling and analysis of information flows in production-inventory and supply chain systems, PROFIL series (12), Production-Economic Research in Linköping.