Coordinating Supply Chains by Controlling Upstream Variability Propagation

References

• Anderson E. G., Fine C. H., Parker G. G. Upstream volatility in the supply chain: The machine tool industry as a case study. Production Oper. Management (2000) 9(3):239–261Crossref, Google Scholar
• Baganha M. P., Cohen M. A. The stabilizing effect of inventory in supply chains. Oper. Res. (1998) S46(3):S72–S83Link, Google Scholar
• Balakrishnan A., Geunes J., Pangburn M. S. A constrained replenishment model for upstream variability control in two-stage distribution systems. (2002) . Working paper, Industrial and Systems Engineering Department, University of Florida, Gainesville, FLGoogle Scholar
• Balakrishnan A., Geunes J., Pangburn M. S. Impact of variability control agreements on distribution chain performance. (2003) . Working paper, Industrial and Systems Engineering Department, University of Florida, Gainesville, FLGoogle Scholar
• Bassok Y., Anupindi R. Analysis of supply contracts with total minimum commitment. IIE Trans. (1997) 29(5):373–381Crossref, Google Scholar
• Bourland K. E., Powell S. G., Pyke D. F. Exploiting timely demand information to reduce inventories. Eur. J. Oper. Res. (1996) 92:239–253Crossref, Google 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., Zipkin P. H. Competitive and cooperative inventory policies in a two-stage supply chain. Management Sci. (1999) 45(7):936–953Link, Google Scholar
• Chen F. Decentralized supply chains subject to information delays. Management Sci. (1999) 45(8):1076–1090Link, Google Scholar
• Chen F. Market segmentation, advanced demand information, and supply chain performance. Manufacturing Service Oper. Management (2001) 3(1):53–67Link, 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
• Cohen M. A., Lee H. L. Strategic analysis of integrated production-distribution systems: Models and methods. Oper. Res. (1988) 36(2):216–228Link, Google Scholar
• Corbett C. J., Decroix G. A. Shared-savings contracts for indirect materials in supply chains: Channel profits and environmental impacts. Management Sci. (2001) 47(7):881–893Link, Google Scholar
• Cruickshanks A. B., Drescher R. D., Graves S. C. A study of production smoothing in a job shop environment. Management Sci. (1984) 30(3):368–380Link, Google Scholar
• Dejonckheere J., Disney S. M., Lambrecht M. R., Towill D. R. Transfer function analysis of forecasting induced bullwhip in supply chains. Internat. J. Production Econom. (2002) 78:133–144Crossref, Google Scholar
• Dejonckheere J., Disney S. M., Lambrecht M. R., Towill D. R. Measuring and avoiding the bullwhip effect: A control theoretic approach. Eur. J. Oper. Res. (2003) 147:567–590Crossref, Google Scholar
• Ernst R., Pyke D. F. Optimal base stock policies and truck capacity in a two-echelon system. Naval Res. Logist. (1993) 40:879–904Crossref, Google Scholar
• Gallego G., Özer Ö. Integrating replenishment decisions with advance demand information. Management Sci. (2001) 47(10):1344–1360Link, Google Scholar
• Gavirneni S., Kapuscinski R., Tayur S. Value of information in capacitated supply chains. Management Sci. (1999) 45(1):16–24Link, Google Scholar
• Graves S. C., Willems S. P. Optimizing strategic safety stock placement in supply chains. Manufacturing Service Oper. Management (2000) 2(1):68–83Link, Google Scholar
• Graves S. C., Kletter D. B., Hetzel W. B. A dynamic model for requirements planning with application to supply chain optimization. Oper. Res. (1998) 46(S3):S35–S49Link, Google Scholar
• Hariharan R., Zipkin P. H. Customer-order information, leadtimes, and inventories. Management Sci. (1995) 41(10):1599–1607Link, Google Scholar
• Henig M., Gerchak Y., Ernst R., Pyke D. F. An inventory model embedded in designing a supply contract. Management Sci. (1997) 43(2):184–189Link, Google Scholar
• Lee H. L., Whang S. Decentralized multi-echelon supply chains: Incentives and information. Management Sci. (1999) 45(5):633–640Link, Google Scholar
• Lee H. L., Padmanabhan V., Whang S. Information distortion in a supply chain: The bullwhip effect. Management Sci. (1997) 43(4):546–558Link, Google 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
• Moinzadeh K., Nahmias S. Adjustment strategies for a fixed delivery contract. Oper. Res. (2000) 48(3):408–423Link, Google Scholar
• Nahmias S.Production and Operations Analysis (2001) 4th ed.(McGraw-Hill, Chicago, IL) Google Scholar
• Porteus E. L., Heyman D. P., Sobel M. Stochastic inventory theory. Handbooks in OR & MS (1990) 2(North-Holland, Elsevier Publishers B.V., New York) Google Scholar
• Stalk G., Evans P., Shulman L. E. Competing on capabilities: The new rules of corporate strategy. Harvard Bus. Rev. (1992) 70(2):57–69Google 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
• Tsay A. A., Nahmias S., Agrawal N., Tayur S., Ganeshan R., Magazine M. Modeling supply chain contracts: A review, Chapter 10. Quantitative Models for Supply Chain Management (1999) (Kluwer Academic Publishers, Boston, MA) Crossref, Google Scholar