Comments on “Information Distortion in a Supply Chain: The Bullwhip Effect”

References

• Achabal D. D., McIntyre S. H., Smith S. A., Kalyanam K. A decision support system for vendor managed inventory. J. Retailing (2000) 76(4):430–454Crossref, Google Scholar
• Ailawadi K. L., Farris P. W., Shames E. Trade promotions: Essential to selling through resellers. Sloan Management Rev. (1999) 41(1):83–92Google Scholar
• Anderson E. G., Morrice D. J., Johnson M. E., Pyke D. F. A simulation game for teaching service-oriented supply chain management: Does information sharing help managers with service capacity decisions? Supply Chain Management: Innovations for Education (2000) (Production and Operations Management Society, Miami, FL) 125–140Google Scholar
• Aviv Y. The effect of collaborative forecasting on supply chain performance. Management Sci. (2001) 47(10):1326–1343Link, Google Scholar
• Aviv Y. Gaining benefits from joint forecasting and replenishment processes: The case of auto-correlated demand. Manufacturing Service Oper. Management (2002) 4(1):55–74Link, Google Scholar
• Banker R. D., Kauffman R. J. The evolution of research on information systems: A fiftieth-year survey of the literature in Management Science. Management Sci. (2004) 50(3):281–298Link, Google Scholar
• Blattberg R. C., Neslin S. A.Sales Promotions: Concepts, Methods and Strategies (1990) (Prentice-Hall, Inc., Englewood Cliffs, NJ) Google Scholar
• Buzzell R. D., Quelch J. A., Salmon W. J. The costly bargain of trade promotion. Harvard Bus. Rev. (1990) 68(2):141–149Google Scholar
• Cachon G. P. Managing supply chain demand variability with scheduled ordering policies. Management Sci. (1999) 45(6):843–856Link, Google Scholar
• Cachon G. P., Fisher M. Supply chain inventory management and the value of shared information. Management Sci. (2000) 46(8):1032–1048Link, Google Scholar
• Cachon G. P., Lariviere M. A. Capacity allocation using past sales: When to turn-and-earn. Management Sci. (1999a) 45(5):685–703Link, Google Scholar
• Cachon G. P., Lariviere M. A. Capacity choice and allocation: Strategic behavior and supply chain performance. Management Sci. (1999b) 45(8):1091–1108Link, Google Scholar
• Cachon G. P., Lariviere M. A. An equilibrium analysis of linear, proportional and uniform allocation of scarce capacity. IIE Trans. (1999c) 31(9):835–849Crossref, Google Scholar
• Chen F., Samroengraja R., Johnson M. E., Pyke D. F. The stationary beer game. Supply Chain Management: Innovations for Education (2000) (Production and Operations Management Society, Miami, FL) 68–79Google Scholar
• Chen F., Drezner Z., Ryan J. K., Simchi-Levi D., Tayur S., Ganeshan R., Magazine M. The bullwhip effect: Managerial insights on the impact of forecasting and information on variability in a supply chain. Quantitative Models for Supply Chain Management (1999) (Kluwer Academic Publishers, Boston, MA) 417–436Crossref, Google Scholar
• Chen F., Drezner Z., Ryan J. K., Simchi-Levi D. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Sci. (2000) 46(3):436–443Link, Google Scholar
• Chen F. R. Echelon reorder points installation reorder points, and the value of centralized demand information. Management Sci. (1998) 44(12):221–234Link, Google Scholar
• Cheung K. L., Zhang A. X. The impact of inventory information distortion due to customer order cancellations. Naval Res. Logist. (1999) 46(2):213–231Crossref, Google Scholar
• Clark T. H., Hammond J. H. Reengineering channel reordering processes to improve total supply-chain performance. Production Oper. Management (1997) 6(3):248–265Crossref, Google Scholar
• Dreze X., Bell D. R. Creating win-win trade promotions: Theory and empirical analysis of scan-back trade deals. Marketing Sci. (2003) 22(1):16–39Link, Google Scholar
• Economist, The Computers of the world unite. (2002) 362(8258):519–520Google Scholar
• Forrester J. W. Industrial dynamics: A major breakthrough for decision makers. Harvard Bus. Rev. (1958) 36(July/August):37–66Google Scholar
• Gerstner E., Hess J. D. Pull promotions and channel coordination. Marketing Sci. (1995) 14(1):43–60Link, Google Scholar
• Graves S. C. A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management (1999) 1(1):50–61Link, Google Scholar
• Hammond J. H.Barilla SpA (A) (1994) (Harvard Business School case 6-694-046, Boston, MA) Google Scholar
• Hanssens D. M. Order forecasts retail sales, and the marketing mix for consumer durables. J. Forecasting (1998) 17(3–4):327–346Crossref, Google Scholar
• Hoyt D.Solectron: From contract manufacturer to global supply chain integrator (2001) (Stanford University Graduate School of Business case GS-24, Stanford, CA) Google Scholar
• Jacobs F. R., Johnson M. E., Pyke D. F. Playing the beer distribution game over the Internet. Supply Chain Management: Innovations for Education (2000) (Production and Operations Management Society, Miami, FL) 80–88Google Scholar
• Johnson M. E., Pyke D. F., Johnson M. E., Pyke D. F. A framework for teaching supply chain management. Supply Chain Management: Innovations for Education (2000a) (Production and Operations Management Society, Miami, FL) 4–20Google Scholar
• Johnson M. E., Pyke D. F.Supply Chain Management: Innovations for Education (2000b) (Production and Operations Management Society, Miami, FL) Google Scholar
• Jung H. D., Ahn H. S., Ahn B. H., Rhee S. K. Impacts of buyers' order batching on the supplier's demand correlation and capacity utilization in a branching supply chain. Production Planning Control (1999) 10(5):472–485Crossref, Google Scholar
• Kaminsky P., Simchi-Levi D., Lee H. L., Ng S. M. A new computerized beer game: A tool for teaching the value of integrated supply chain management. Global Supply Chain and Technology Management (1998) (Production and Operations Management Society, Miami, FL) 216–225Google Scholar
• Kim H. K., Ryan J. K. The cost impact of using simple forecasting techniques in a supply chain. Naval Research Logist. (2003) 50(5):388–411Crossref, Google Scholar
• Kristofferson M., Lal R.Value pricing at Procter & Gamble (A) (1996a) . M-284A, Graduate School of Business, Stanford University, Stanford, CAGoogle Scholar
• Kristofferson M., Lal R.Value pricing at Procter & Gamble (B) (1996b) . M-284B, Graduate School of Business, Stanford University, Stanford, CAGoogle Scholar
• Kulp S. C., Lee H. L., Ofek E. Manufacturer benefits from information integration with retail customers. Management Sci. (2004) 50(4):431–444Link, Google Scholar
• Kuper A., Branvold D., Johnson M. E., Pyke D. F. Innovation diffusion at Hewlett-Packard. Supply Chain Management: Innovations for Education (2000) (Production and Operations Management Society, Miami, FL) 205–218Google Scholar
• Lal R. Manufacturer trade deals and retail price promotions. J. Marketing Res. (1990) 27(4):428–444Crossref, Google Scholar
• Lee H. L., Whang S. J. Information sharing in a supply chain. Internat. J. Tech. Management (2000) 20(3–4):373–387Crossref, Google Scholar
• Lee H. L., Padmanabhan V., Whang S. Information distortion in a supply chain: The bullwhip effect. Management Sci. (1997a) 43(4):546–558Link, Google Scholar
• Lee H. L., Padmanabhan V., Whang S. The bullwhip effect in supply chains. Sloan Management Rev. (1997b) 38(3, Spring):93–102Google Scholar
• Lee H. L., So K. C., Tang C. S. The value of information sharing in a two-level supply chain. Management Sci. (2000) 46(5):626–643Link, Google Scholar
• McKone K. E., Johnson M. E., Pyke D. F. Teaching supply chain principles: The Otogel simulation exercise. Supply Chain Management: Innovations for Education (2000) (Production and Operations Management Society, Miami, FL) 89–99Google Scholar
• Mehring J. S., Johnson M. E., Pyke D. F. A practical setting for experiential learning about supply chains: Siemen's brief case game supply chain simulator. Supply Chain Management: Innovations for Education (2000) (Production and Operations Management Society)100–109Google Scholar
• Moinzadeh K., Nahmias S. Adjustment strategies for a fixed delivery contract. Oper. Res. (2000) 48(8):1032–1048Google Scholar
• Peleg B. STMicroelectronics e-chain optimization project: Achieving streamlined operations through collaborative forecasting and inventory management. Stanford Global Supply Chain Management Forum case (2003) (Stanford University, Stanford, CA) Google Scholar
• Raghunathan S., Yeh A. B. Beyond EDI: Impact of continuous replenishment program (CRP) between a manufacturer and its retailers. Inform. Systems Res. (2001) 12(4):406–419Link, Google Scholar
• Steckel J. H., Gupta S., Banerji A. Supply chain decision making: Will shorter cycle times and shared point-of-sale information necessarily help? Management Sci. (2004) 50(4):458–464Link, Google Scholar
• Sterman J. D. Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Sci. (1989) 35(3):321–339Link, Google Scholar
• Sterman J. D. Teaching takes off: Flight simulators for management education. OR/MS Today (1992) 19(October):40–43Google Scholar
• Swaminathan J. M., Tayur S. R. Models for supply chain in e-business. Management Sci. (2003) 49(10):1387–1406Link, Google Scholar