The effect of information sharing on supply chain stability and the bullwhip effect

European Journal of Operational Research

Volumn 182, Issue 3, 2007, Pages 1107-1121

  Ouyang, Yanfeng ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Frequency domain analysis; Information sharing; Stability; Supply chain management; The bullwhip effect

Indexed keywords

CUSTOMER SATISFACTION; INVENTORY CONTROL; PUBLIC POLICY; STABILITY; SUPPLY CHAIN MANAGEMENT;

INFORMATION SHARING; THE BULLWHIP EFFECT;

INFORMATION DISSEMINATION;

EID: 34248164964     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2006.09.037     Document Type: Article

References (39)

1. Aviv Y. The effect of collaborative forecasting on supply chain performance. Management Science 47 10 (2001) 1326-1343
2. Aviv Y. Gaining benefits from joint forecasting and replenishment processes: The case of auto-correlated demand. Manufacturing and Service Operations Management 4 1 (2002) 55-74
3. Baganha M.P., and Cohen M.A. The stabilizing effect of inventory in supply chains. Operations Research 46 3 (1998) 572-583
4. Blinder A.S. Can the production smoothing model of inventory behavior be saved?. Quarterly Journal of Economics 101 (1986) 431-454
5. Boyd S., and Desoer C.A. Subharmonic functions and performance bounds on linear time-invariant feedback systems. IMA Journal of Mathematical Control and Information 2 (1985) 153-170
6. Cachon G.P., and Fisher M. Supply chain inventory management and the value of shared information. Management Science 46 8 (2000) 1032-1048
7. Chen F., Drezner Z., Ryan J., and 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
8. Chen F., Ryan J., and Simchi-Levi D. The impact of exponential smoothing forecasts on the bullwhip effect. Naval Research Logistics 47 4 (2000) 271-286
9. Chen F.R. Echelon reorder points, installation reorder points, and the value of centralized demand information. Management Science 44 12 (1998) 221-234
10. Cooke J.A. The $30 Billion Promise. Traffic Management 32 December (1993) 57-59
11. C.F. Daganzo, A theory of supply chains, Institute of Transportation Studies Research Report, UCB-ITS-RR-2001-7, University of California, Berkeley, CA, 2001.
12. Daganzo C.F. A Theory of Supply Chains (2003), Springer, Heidelberg, Germany
13. Daganzo C.F. On the stability of supply chains. Operations Research 52 6 (2004) 909-921
14. Denardo E.V., and Tang C.S. Control of a stochastic production system with estimated parameters. Management Science 43 (1997) 1296-1307
15. Forrester J. Industrial dynamics, a major breakthrough for decision makers. Harvard Business Review 36 (1958) 37-66
16. Forrester J. Industrial Dynamics (1961), MIT Press, Cambridge MA
17. Gaur V., Giloni A., and Seshadri S. Information sharing in a supply chain under ARMA demand. Management Science 51 6 (2005) 961-969
18. Gavirneni S., Kapuscinski R., and Tayur S. Value of information in capacitated supply chains. Management Science 45 1 (1999) 16-24
19. Goodwin J., and Franklin S. The beer distribution game: Using simulation to teach systems thinking. Journal of Management Development 13 8 (1994) 7-15
20. L. Gong, H. Matsuo, Stabilizing work-in-process and smoothing production in a production system with random yield, Working Paper, Graduate School of Business, University of Texas, Austin 1990.
21. Graves S. A tactical planning model for a job shop. Operations Research 34 (1986) 522-533
22. Graves S. A single item inventory model for a nonstationary demand process. Manufacturing and Service Operations Management 1 (1999) 50-61
23. Holt C.C., Modigliani F., Muth J., and Simon H.A. Planning Production, Inventories and Work Force (1960), Prentice Hall, Englewood Cliffs, NY
24. Kahn J. Inventories and the volatility of production. American Economic Review 77 (1987) 667-679
25. Kaminsky P., and Simchi-Levi D. The computerized beer game: Teaching the value of integrated supply chain management. In: Lee H., and Ng S.M. (Eds). Supply Chain and Technology Management (1998), The Production and Operations Management Society
26. Lee H.L., Padmanabhan V., and Whang S. The bullwhip effect in supply chains. Sloan Management Review 38 3 (1997) 93-102 Spring
27. Lee H.L., Padmanabhan V., and 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., and Tang C.S. The value of information sharing in a two level supply chain. Management Science 46 5 (2000) 628-643
29. Magee J.F. Guides to inventory control. Harvard Business Review Part II March-April (1956) 106-116
30. Magee J.F., and Boodman D. Production Planning and Inventory Control. second ed. (1967), McGraw-Hill, NY
31. Naish H.F. Production smoothing in the linear quadratic inventory model. Economic Journal 104 425 (1994) 864-875
32. Y. Ouyang, System-level stability and optimality of decentralized supply chains, Ph.D. Dissertation, University of California, Berkeley, 2005.
33. Ouyang Y., and Daganzo C.F. Characterization of the bullwhip effect in linear, time-invariant supply chains: Some formulae and tests. Management Science 52 10 (2006) 1544-1556
34. Y. Ouyang, C.F. Daganzo, Robust tests for the bullwhip effect in supply chains with stochastic dynamics, European Journal of Operational Research, in press, doi:10.1016/j.ejor.2006.10.046.
35. Ouyang Y., Lago A., and Daganzo C.F. Taming the bullwhip effect: From traffic to supply chains. In: Carranza O., et al. (Ed). Bullwhip Effect in Supply Chains: A Review of Methods, Components, and Cases (2006), Palgrave-MacMilan Series
36. Ramey V.A. Nonconvex costs and the behavior of inventories. Journal of Political Economy 99 (1991) 306-334
37. Simchi-Levi D., and Zhao Y. The value of information sharing in a two-stage supply chain with production capacity constraint. Navy Research Logistics 50 (2003) 888-916
38. Sterman J. Modelling managerial behaviour: Misperceptions of feedback in a dynamic decision making experiment. Management Science 35 3 (1989) 321-339
39. Tang C.S. The impact of uncertainty on a production line. Management Science 36 12 (1990) 1518-1531