Inventory policies and information sharing in multi-echelon supply chains
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Jose M. Framinan | Elena Ciancimino | Salvatore Cannella | J. Framiñan | S. Cannella | E. Ciancimino
[1] Stephen M. Disney,et al. On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains , 2008, Found. Trends Technol. Inf. Oper. Manag..
[2] D. Sterman,et al. Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .
[3] Robert L. Winkler,et al. The accuracy of extrapolation (time series) methods: Results of a forecasting competition , 1982 .
[4] S. Disney,et al. Vendor-managed inventory and bullwhip reduction in a two-level supply chain , 2003 .
[5] Stephen M. Disney,et al. A win–win solution for the bullwhip problem , 2008 .
[6] Stephen Michael Disney,et al. The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains , 2003 .
[7] Elena Ciancimino,et al. On the Bullwhip Avoidance Phase: supply chain collaboration and order smoothing , 2010 .
[8] Salvatore Cannella,et al. Supply chain modelling and analysis: an application of Latin square to a repeated coupling of non-linear differential equations , 2011 .
[9] Stephen M. Disney,et al. Taming the bullwhip effect whilst watching customer service in a single supply chain echelon , 2006, Eur. J. Oper. Res..
[10] D. Towill,et al. Information enrichment: designing the supply chain for competitive advantage , 1997 .
[11] Mohamed Mohamed Naim,et al. Dynamic analysis of a WIP compensated decision support system , 1994 .
[12] Fernanda Strozzi,et al. Beer game order policy optimization under changing customer demand , 2007, Decis. Support Syst..
[13] Denis Royston Towill,et al. Dynamic analysis of an inventory and order based production control system , 1982 .
[14] Paul H. Zipkin,et al. Foundations of Inventory Management , 2000 .
[15] J. D. Croston. Forecasting and Stock Control for Intermittent Demands , 1972 .
[16] Chandra Lalwani,et al. Observable and controllable state space representations of a generalized Order-Up-To policy , 2003 .
[17] Li Chen,et al. Information Sharing and Order Variability Control Under a Generalized Demand Model , 2009, Manag. Sci..
[18] Carl R. Schultz. Forecasting and Inventory Control for Sporadic Demand Under Periodic Review , 1987 .
[19] Stephen Michael Disney,et al. Order and inventory variance amplification: The equivalence of discrete and continuous time analyses , 2007 .
[20] Stephen M. Disney,et al. The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective , 2004, Eur. J. Oper. Res..
[21] Victoria C. P. Chen,et al. Performance analysis of conjoined supply chains , 2001 .
[22] Joakim Wikner,et al. Exploiting the Order Book for Mass Customized Manufacturing Control Systems With Capacity Limitations , 2007, IEEE Transactions on Engineering Management.
[23] Dean C. Chatfield,et al. All-zero forecasts for lumpy demand: a factorial study , 2007 .
[24] Stephen M. Disney,et al. The governing dynamics of supply chains: The impact of altruistic behaviour , 2006, Autom..
[25] Stephen M. Disney,et al. Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..
[26] Denis Royston Towill,et al. A methodology for benchmarking replenishment‐induced bullwhip , 2006 .
[27] D. P. Deziel,et al. A linear production-inventory control rule , 1967 .
[28] Hau L. Lee. Taming the bullwhip , 2010 .
[29] Arnoldo C. Hax,et al. Production and inventory management , 1983 .
[30] Christos D. Tarantilis,et al. Dynamic modeling and control of supply chain systems: A review , 2008, Comput. Oper. Res..
[31] Marko Jaksic,et al. The effect of replenishment policies on the bullwhip effect: A transfer function approach , 2008, Eur. J. Oper. Res..
[32] Chandra Lalwani,et al. Controllable, observable and stable state space representations of a generalized order-up-to policy , 2006 .
[33] Keith Tizzard,et al. Management System Dynamics , 1977 .
[34] Salvatore Cannella,et al. Up-to-Date Supply Chain Management: The Coordinated (S, R) Order-Up-to , 2010, Heinz Nixdorf Symposium.
[35] J. Machuca,et al. THE IMPACT OF ELECTRONIC DATA INTERCHANGE ON REDUCING BULLWHIP EFFECT AND SUPPLY CHAIN INVENTORY COSTS , 2004 .
[36] D. Wright,et al. Mitigating the bullwhip effect by ordering policies and forecasting methods , 2008 .
[37] W. N. Jessop. Management System Dynamics , 1978 .
[38] M. Naim,et al. Assessing the impact of e-business on supply chain dynamics , 2004 .
[39] L. T. Simister. The Role of Forecasting , 1981 .
[40] Ilhyung Kim,et al. Measuring endogenous supply chain volatility: Beyond the bullwhip effect , 2008, Eur. J. Oper. Res..
[41] J. Forrester. Industrial Dynamics , 1997 .
[42] Benny Van Houdt,et al. Designing replenishment rules in a two-echelon supply chain with a flexible or an inflexible capacity strategy , 2009 .
[43] Denis Royston Towill,et al. A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain , 2002 .
[44] Stephen Michael Disney,et al. The myopic Order-Up-To policy with a proportional feedback controller , 2007 .
[45] R. W. Grubbström,et al. The economic consequences of a production and inventory control policy , 2016 .
[46] Angappa Gunasekaran,et al. The role of forecasting on bullwhip effect for E-SCM applications , 2008 .
[47] S. Disney,et al. On the bullwhip and inventory variance produced by an ordering policy , 2003 .
[48] Roger D. H. Warburton,et al. An Analytical Investigation of the Bullwhip Effect , 2004 .
[49] Stephen M. Disney,et al. Production, Manufacturing and Logistics An integrated production and inventory model to dampen upstream demand variability in the supply chain , 2006 .