Up-to-date supply chain management: The coordinated (S, R) order-up-to

Lecture Notes in Business Information Processing

Volumn 46 LNBI, Issue , 2010, Pages 175-185

  Cannella, Salvatore ^a   Ciancimino, Elena ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

bullwhip effect; collaboration; decision policy; information sharing; multi echelon; OUT; production and inventory management; synchronization of operations

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; INFORMATION DISSEMINATION; INFORMATION RETRIEVAL; INVENTORY CONTROL; LOGISTICS; SUPPLY CHAINS;

BULLWHIP EFFECTS; DECISION POLICY; INFORMATION SHARING; MULTIECHELON; PRODUCTION AND INVENTORY MANAGEMENT;

SUPPLY CHAIN MANAGEMENT;

EID: 77953983745     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-12494-5_16     Document Type: Conference Paper

References (48)

1. McKinsey & Co.: Evaluating the impact of alternative store formats. Supermarket Industry Convention, Food Marketing Institute, Chicago (1992)
2. Cachon, G., Fisher, M.: Campbell Soup's continuous replenishment program: Evaluation and enhanced inventory decision rules. Productions and Operations Management 6, 266-276 (1997) (Pubitemid 127465337)
3. Disney, S.M., Towill, D.R.: The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains. International Journal of Production Economics 85, 199-215 (2003)
4. Andraski, J.C.: Foundations for a successful continuous replenishment programme. International Journal of Logistics Management 5, 1-8 (1994)
5. VICS Merchandising Issue Committee, CPFR Committee: Collaborative Planning, Forecasting, and Replenishment Guidelines.Voluntary Interindustry Commerce Standards Associations, Lawrenceville (1998)
6. Holmström, J., Främling, K., Kaipia, R., Saranen, J.: Collaborative planning forecasting and replenishment: new solutions needed for mass collaboration. Supply Chain Management: An International Journal 7, 136-145 (2002)
7. Lee, H.L., Padmanabhan, V., Whang, S.: Information distortion in a supply chain: the bullwhip effect. Management Science 43, 546-558 (1997) (Pubitemid 127569855)
8. Cannella, S., Ciancimino, E.: On the Bullwhip Avoidance Phase: Supply Chain Collaboration and Order Smoothing. International Journal of Production Research (2009)
9. Cachon, G., Fisher, M.: Supply chain inventory management and the value of shared information. Management Science 46, 1032-1048 (2000)
10. Disney, S.M., Towill, D.R.: A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain. International Journal of Production Research 40, 179-204 (2002)
11. Chatfield, D.C., Kim, J.G., Harrison, T.P., Hayya, J.C.: The bullwhip effect - Impact of stochastic lead time, information quality, and information sharing: A simulation study. Production and Operations Management 13, 340-353 (2004)
12. Shang, J.S., Li, S., Tadikamalla, P.: Operational design of a supply chain system using the Taguchi method, response surface methodology, simulation, and optimization. International Journal of Production Research 42, 3823-3849 (2004)
13. Kelepouris, T., Miliotis, P., Pramatari, K.: The impact of replenishment parameters and information sharing on the Bullwhip effect: a computational study. Computers and Operations Research 35, 3657-3670 (2008) (Pubitemid 351443069)
14. Holweg, M., Disney, S.M., Holmström, J., Småros, J.: Supply chain collaboration: making sense of the strategy continuum. European Management Journal 23, 170-181 (2005) (Pubitemid 40526145)
15. Disney, S.M.: The Dynamics of Material Flows in Supply Chains, http://ssrn.com/abstract=1013326
16. Wang, Y.C.: Evaluating flexibility on order quantity and delivery lead time for a supply chain system. International Journal of Systems Science 39, 1193-1202 (2008)
17. Boute, R.N., Disney, S.M., Lambrecht, M.R., Van Houdt, B.: Designing replenishment rules in a two-echelon supply chain with a flexible or an inflexible capacity strategy. International Journal of Production Economics 119, 187-198 (2009)
18. Kulp, S.C., Ofek, E., Whitaker, J.: Supply-Chain Coordination: How Companies Leverage Information Flows to Generate Value. In: Harrison, T.P., Lee, H.L., Neale, J. (eds.) The practice of supply chain management. Where theory and practice converge, pp. 91-107. Springer, New York (2004)
19. Hax, A.C., Candea, D.: Production and Inventory Management. Prentice-Hall, Englewood Cliffs (1984)
20. Disney, S.M., Lambrecht, M.R.: On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains. Foundations and Trends in Technology, Information and Operations Management 2, 1-80 (2008)
21. Boute, R.N., Disney, S.M., Lambrecht, M.R., Van Houdt, B.: A win-win solution for the bullwhip problem. Production Planning and Control 19, 702-711 (2008)
22. Simon, H.A.: On the application of servomechanism theory to the study of production control. Econometrica 20, 247-268 (1952)
23. Holt, C.C., Modigliani, F., Muth, J.F., Simon, H.A.: Planning Production, Inventories and Work Force. Prentice-Hall, Englewood Cliffs (1960)
24. Forrester, J.: Industrial Dynamics. MIT Press, Cambridge (1961)
25. Clark, A.J., Scarf, H.: Optimal Policies for a Multi-Echelon Inventory Problem. Management Science 6, 475-490 (1960)
26. Whang, S.: Coordination in operations: a taxonomy. Journal of Operations Management 12, 413-422 (1995)
27. Dong, L., Lee, H.L.: Optimal policies and approximations for a serial multiechelon inventory system with time-correlated demand. Operations Research 51, 969-980 (2003)
28. Swaminathan, J.M., Tayur, S.R.: Models for supply chains in e-Business. Management Science 49, 1387-1406 (2003)
29. DeCroix, G.A.: Optimal policy for a multiechelon inventory system with remanufacturing. Operations Research 54, 532-543 (2006)
30. 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 Science 46, 436-443 (2000) (Pubitemid 30596821)
31. Sterman, J.D.: Modelling managerial behaviour: misperceptions of feedback in a dynamic decision-making experiment. Management Science 35, 321-339 (1989)
32. Wikner, J., Towill, D.R., Naim, M.M.: Smoothing supply chain dynamics. International Journal of Production Economics 22, 231-248 (1991)
33. Van Ackere, A., Larsen, E.R., Morecroft, J.D.W.: Systems thinking and business process redesign: An application to the beer game. European Management Journal 11, 412-423 (1993)
34. John, S., Naim, M.M., Towill, D.R.: Dynamic analysis of a WIP compensated decision support system. International Journal of Management Systems Design 1, 283-297 (1994)
35. Crespo Márquez, A., Bianchi, C., Gupta, J.N.D.: Operational and financial effectiveness of e-collaboration tools in supply chain integration. European Journal of Operational Research 159, 348-363 (2004)
36. Machuca, J.A.D., Del Pozo Barajas, R.: A computerized network version of the Beer Game via the Internet. System Dynamics Review 13, 323-340 (1997)
37. Jakšič, M., Rusjan, B.: The effect of replenishment policies on the bullwhip effect: a transfer function approach. European Journal of Operational Research 184, 946-961 (2008) (Pubitemid 47391160)
38. Wright, D., Yuan, X.: Mitigating the bullwhip effect by ordering policies and forecasting methods. International Journal of Production Economics 113, 587-597 (2008)
39. Dejonckheere, J., Disney, S.M., Lambrecht, M.R., Towill, D.R.: The impact of information enrichment on the bullwhip effect in Supply Chains: A control engineering perspective. European Journal of Operational Research 153, 727-750 (2004)
40. Dejonckheere, J., Disney, S.M., Lambrecht, M.R., Towill, D.R.: Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research 147, 567-590 (2003)
41. Kim, J.G., Chatfield, D., Harrison, T.P., Hayya, J.C.: Quantifying the bullwhip effect in a supply chain with stochastic lead time. European Journal of Operational Research 173, 617-636 (2006)
42. Agrawal, S., Sengupta, R.N., Shanker, K.: Impact of information sharing and lead time on bullwhip effect and on-hand inventory. European Journal of Operational Research 192, 576-593 (2009)
43. Ciancimino, E., Cannella, S., Canca Ortiz, J.D., Framiñán, J.M.: Supply chain multi-level analysis: two bullwhip dampening approaches [Análisis multinivel de cadenas de suministros: Dos técnicas de resolución del efecto bullwhip]. Revista de Métodos Cuantitativos para la Economía y la Empresa 8, 7-28 (2009)
44. Hosoda, T., Naim, M.M., Disney, S.M., Potter, A.: Is there a benefit to sharing market sales information? Linking theory and practice. Computers and Industrial Engineering 54, 315-326 (2008)
45. Mason, R., Lalwani, C., Boughton, R.: Combining vertical and horizontal collaboration for transport optimization. Supply Chain Management 12, 187-199 (2007)
46. Cannella, S., Ciancimino, E., Márquez, A.C.: Capacity constrained supply chains: A simulation study. International Journal of Simulation and Process Modelling 4, 139-147 (2008)
47. Ciancimino, E., Cannella, S.: Modelling the bullwhip effect dampening practices in a limited capacity production network. LNBIP, vol. 20, pp. 475-486. Springer, Heidelberg (2009)
48. Gaalman, G., Disney, S.M.: A new inventory policy for a two echelon supply chain. In: Euroma conference, Göteborg (2009)