Turbulent behavior of supply chains is drawing an increasing attention of researchers and managers in recent years. Better understanding of reasons and impacts of unsteadiness is interesting not only from the scientific point of view, but also crucial for the development of appropriate practical countermeasures. Many publications focus the bullwhip effect. Few consider other symptoms of turbulent behavior, than oscillations of material flows and stocks in supply chains or volatility of the demand. This paper takes a holistic perspective at turbulences in industrial supply chains, in terms of symptoms, effects and interdependencies. A relevant analytical framework is discussed, which employs both, qualitative and quantitative modeling. Initial results of empirical and conceptual research are presented. The final aim is to develop a well-justified methodology for simultaneous analysis of cultural phenomena and material processes. The two major streamlines of processes in supply chains were considered, i.e.: product development and production flow. The obtained and prospective results have both, scientific and practical importance.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
J.W. Forrester, Industrial Dynamics. A major breakthrough for decision makers, Harvard Business Review, Vol. 36 (1958) No. 4, pp. 37–66.
J.D. Sterman, Business Dynamics, McGraw-Hill, 2000.
H.L. Lee, V. Padmanabhan, S. Whang, The bullwhip effect in supply chains, Sloan Management Review, Vol. 38 (1997), No. 3, pp. 93–102.
L.H. Lee, V. Padmanabhan, S. Whang, Information distortion in a supply chain: The bullwhip effect, Management Science, Vol. 43 (1997) No. 4, pp. 546–558.
P.-P. Dornier, R. Ernst, M. Fender, P. Kouvelis, Global Operations and Logistics, John Wiley & Sons, 1998, pp. 216–233.
S. Strzelczak, Business Integration Engineering, in: edited by S. Strzelczak, Economic and Managerial Developments in Asia and Europe - Comparative Studies, Kramist Ltd., 2003, pp. 99–118.
J.C. Fransoo, M.J.F. Wouters, Measuring the bullwhip effect in the supply chain, Supply Chain Management: An International Journal, Vol. 5 (2000), No. 2, pp. 78–89.
T. Kawagoe, S. Wada, The bullwhip effect: a counterexample, Proceedings of the IEEE International Conference on Intelligent Agent Technology, 2005, pp. 124–127.
J. Kahn, Inventories and the volatility of production, American Economic Review Vol. 77 (1987), No. 4, pp. 667–679.
J. Dejonckheere, S.M., Disney, M.R., Lambrecht, D.R., Towill, Measuring and avoiding the bullwhip effect: A control theoretic approach, European Journal of Operational Research, Vol. 147 (2003), No. 3, pp. 567–590.
F. Chen et al., The impact of exponential smoothing forecasts on the bullwhip effect, Naval Research Logistics Vol. 47 (2000), No. 4, pp. 269–286.
S.M. Disney, I. Farasyn, M.R. Lambrecht, D.R. Towill, W. van de Velde, Dampening variability by using smoothing replenishment rules, DTEW Research Report 0502, Katholieke Universiteit Leuven, 2005.
T. Moyaux, P. McBurney, Reduction of the Bullwhip Effect in Supply Chains through Speculation, in: Ch. Bruun (ed.), Advances in Artificial Economics - The Economy as a Complex Dynamic System, Springer, 2006, p. 77–89.
C. Papanagnou, G. Halikias, A State-Space Approach for Analyzing the Bullwhip Effect in Supply Chains, Proceedings of ICTA’05, London 2005, pp. 79–84.
R.D.H. Warburton, An Analytical Investigation of the Bullwhip Effect, Production & Operations Management, Vol. 13 (2004), No. 2, pp. 150–160.
Y. Lu, Y. Tang, X. Tang, Study on the Complexity of the Bullwhip Effect, Journal of Electronic Science & Technology of China, Vol. 2 (2004), No. 3, pp. 86–91.
D. Helbing, S. Lämmer, Supply and production networks: from the bullwhip effect to business cycles, in: D. Armbruster, A. S. Mikhailov, K. Kaneko (eds.), Networks of Interacting Machines: Production Organization in Complex Industrial Systems and Biological Cells, World Scientific, Singapore, 2005, pp. 33–66.
D. Makajiü-Nikoliü, B. Paniü, M. Vujoševiü, Bullwhip Effect and Supply Chain Modelling and Analysis Using CPN Tools, in: K. Jensen (ed.): Proceedings of the Fifth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, Aarhus, 2004, pp. 219–234.
Ch. Carlsson, R. Fullér, A. Fuzzy Approach to Taming the Bullwhip Effect, in: H.-J. Zimmermann et al. (eds.), Advances in Computational Intelligence and Learning: Methods and Applications, Kluwer 2002, pp. 247–262.
I. Dhahri, H. Chabchoub, A Nonlinear Goal Programming Models Quantifying the Bullwhip Effect in Supply Chain Based on ARIMA Parameters, Proceedings of MOPGP’04, Hammamet, 2004.
T. Kelepouris, P. Miliotis, K. Pramatari, The impact of replenishment parameters and information sharing on the bullwhip effect: A computational approach, Athens University, Eltrun Working Paper Series, WP 2006–011, 2006.
M. Jakšic, B. Rusjan, Analysis of the bullwhip effect in supply chains using the transfer function method, Working Paper, Department of Management and Organisation, Faculty of Economics, University of Ljubljana, 2005.
Y. Merkuryev, J. Petuhova, R. Van Landeghem, S. Vansteenkiste, Simulation-based analysis of the bullwhip effect under different information sharing strategies, Proceedings of the 14th European Simulation Symposium: Simulation in Industry - Modeling, Simulation and Optimization, A. Verbraeck, W. Krug (eds.), Dresden 2003, pp. 294–299.
J.-H. Thun, J.-P. Mertens, Simulating the impact of reverse logistics on the bullwhip effect in closed-loop-supply chains using system dynamics, Procedings of EurOMA 2006: Moving Up the Value Chain, Vol. 1, Glasgow, 2006, pp. 265–274.
K. Donohue, R. Croson, Behavioral causes of the bullwhip effect and the observed value of inventory information, Management Science, Vol. 52 (2006), No. 3, pp. 323–336.
R. Croson, K. Donohue, Upstream versus downstream information impact on the bullwhip effect, System Dynamics Review, Vol. 21 (2005), No. 3, pp. 249–260.
Y. Wu, E. Katok, System-wide training and communication, the impact of learning on the Bullwhip Effect: An experimental study, Working Paper, Smeal College of Business, Penn State University, 2005.
N.H. Lurie, J.M. Swaminatham, The Role of Demand Information and Incentives in a Two-Stage Supply Chain, Working Paper, 2006.
J. Nienhaus, A. Ziegenbein, P. Schoensleben, How human behaviour amplifies the bullwhip effect. A study based on the beer distribution game online, Production Planning & Control, Vol. 17 (2006), No. 6, pp. 547–557.
G. Ruël, D. P. van Donk, T. van der Vaart, The beer game revisited: Relating risktaking behaviour and bullwhip effect, Procedings of EurOMA 2006: Moving Up the Value Chain, Vol.1, Glasgow, 2006, pp. 403–412.
O.A. Carranza Torres, F.A. Villegas Morán (editors), The Bullwhip Effect in Supply Chains, Palgrave - MacMillan, 2006.
H. Peck, Reconciling supply chain vulnerability, risk and supply chain management, International Journal of Logistics: Research and Applications, Vol. 9 (2006), No. 2, pp. 127–142.
M. Christopher, H. Peck, Building the Resilient Supply Chain, International Journal of Logistics Management, Vol. 15 (2004), No. 2, pp. 1–14.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 International Federation for Information Processing
About this paper
Cite this paper
Strzelczak, S. (2008). Reducing Turbulences in Industrial Supply Chains. In: Koch, T. (eds) Lean Business Systems and Beyond. IFIP – The International Federation for Information Processing, vol 257. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77249-3_41
Download citation
DOI: https://doi.org/10.1007/978-0-387-77249-3_41
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-77248-6
Online ISBN: 978-0-387-77249-3
eBook Packages: Computer ScienceComputer Science (R0)