Centralised demand information sharing in supply chains
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[1] Eric Sucky,et al. The bullwhip effect in supply chains—An overestimated problem? , 2009 .
[2] Gerald Reiner,et al. Demand forecasting for supply processes in consideration of pricing and market information , 2009 .
[3] Roger D. H. Warburton,et al. An Analytical Investigation of the Bullwhip Effect , 2004 .
[4] Stephen M. Disney,et al. Is there a benefit to sharing market sales information? Linking theory and practice , 2008, Comput. Ind. Eng..
[5] Huynh Trung Luong,et al. Measure of bullwhip effect in supply chains: The case of high order autoregressive demand process , 2007, Eur. J. Oper. Res..
[6] Stephen Michael Disney,et al. The Dynamics of Material Flows in Supply Chains , 2007 .
[7] Huynh Trung Luong,et al. Measure of bullwhip effect in supply chains with autoregressive demand process , 2007, Eur. J. Oper. Res..
[8] P. K. Bagchi,et al. Understanding the causes of the bullwhip effect in a supply chain , 2007 .
[9] 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 .
[10] S. Kolassa,et al. Advantages of the MAD/Mean ratio over the MAPE , 2007 .
[11] Hans-Henrik Hvolby,et al. The implications of information sharing on bullwhip effects in a toy supply chain , 2007 .
[12] Giovanni Miragliotta,et al. Layers and mechanisms: A new taxonomy for the Bullwhip Effect , 2006 .
[13] Stephen Michael Disney,et al. State space investigation of the bullwhip problem with ARMA(1,1) demand processes , 2006 .
[14] Andrew Thomas Potter,et al. Bullwhip and batching: An exploration , 2006 .
[15] Srinagesh Gavirneni,et al. Production , Manufacturing and Logistics Price fluctuations , information sharing , and supply chain performance , 2006 .
[16] E. S. Gardner. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II , 2006 .
[17] Terry P. Harrison,et al. Quantifying the bullwhip effect in a supply chain with stochastic lead time , 2006, Eur. J. Oper. Res..
[18] Stephen M. Disney,et al. Taming the bullwhip effect whilst watching customer service in a single supply chain echelon , 2006, Eur. J. Oper. Res..
[19] Olli-Pekka Hilmola,et al. Manufacturing lot sizing as a source of the Bullwhip Effect: a case study of electronics and furniture supply chains , 2006 .
[20] Karen Donohue,et al. Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information , 2006, Manag. Sci..
[21] Yanfeng Ouyang,et al. Taming the Bullwhip Effect : from traffic to supply chains , 2006 .
[22] Aris A. Syntetos,et al. Accuracy and Accuracy Implication Metrics for Intermittent Demand , 2006 .
[23] R. Fildes,et al. The impact of forecasting on the bullwhip effect , 2006 .
[24] Janis Grabis,et al. Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand , 2005, Eur. J. Oper. Res..
[25] Sridhar Seshadri,et al. Information Sharing in a Supply Chain Under ARMA Demand , 2005, Manag. Sci..
[26] Hong Yan,et al. Information transformation in a supply chain: a simulation study , 2005, Comput. Oper. Res..
[27] T. C. Edwin Cheng,et al. The impact of information sharing in a two-level supply chain with multiple retailers , 2005, J. Oper. Res. Soc..
[28] Kenneth Gilbert,et al. An ARIMA Supply Chain Model , 2005, Manag. Sci..
[29] Ronald K. Ireland,et al. Supply chain collaboration , 2005 .
[30] I. Nyoman Pujawan,et al. Production, Manufacturing and Logistics The effect of lot sizing rules on order variability , 2004 .
[31] M. Sodhi,et al. Quantifying the effect of batch size and order errors on the bullwhip effect using simulation , 2004 .
[32] Elie Ofek,et al. Manufacturer Benefits from Information Integration with Retail Customers , 2004, Manag. Sci..
[33] Xiaolong Zhang. The impact of forecasting methods on the bullwhip effect , 2004 .
[34] Xiaolong Zhang,et al. Technical Note: Evolution of ARMA Demand in Supply Chains , 2004, Manuf. Serv. Oper. Manag..
[35] Stewart Robinson,et al. Simulation: The Practice of Model Development and Use , 2004 .
[36] Vineet Padmanabhan,et al. Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..
[37] Z. Justin Ren,et al. An Empirical Analysis of Forecast Sharing in the Semiconductor Equipment Supply Chain , 2005, Manuf. Serv. Oper. Manag..
[38] Stephen M. Disney,et al. Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..
[39] Dirk Seifert,et al. Collaborative Planning, Forecasting, and Replenishment: How to Create a Supply Chain Advantage , 2003 .
[40] Srinivasan Raghunathan,et al. Impact of demand correlation on the value of and incentives for information sharing in a supply chain , 2003, Eur. J. Oper. Res..
[41] Layth C. Alwan,et al. Stochastic characterization of upstream demand processes in a supply chain , 2003 .
[42] D. Bell,et al. Creating Win-Win Trade Promotions: Theory and Empirical Analysis of Scan-Back Trade Deals , 2003 .
[43] Ralf Hieber,et al. Impacts of SCM order strategies evaluated by simulation-based 'Beer Game' approach: The model, concept, and initial experiences , 2003 .
[44] John E. Boylan,et al. Optimality and robustness of combinations of moving averages , 2003, J. Oper. Res. Soc..
[45] George Kapetanios,et al. A Note on an Iterative Least Squares Estimation Method for Arma and Varma Models , 2002 .
[46] Jinxing Xie,et al. Production, Manufacturing and Logistics The impact of forecasting model selection on the value of information sharing in a supply chain , 2002 .
[47] Mehmet Barut,et al. Measuring supply chain coupling: an information system perspective , 2002 .
[48] Peter McCullen,et al. Diagnosis and reduction of bullwhip in supply chains , 2002 .
[49] Srinagesh Gavirneni,et al. Information Flows in Capacitated Supply Chains with Fixed Ordering Costs , 2002, Manag. Sci..
[50] Denis Royston Towill,et al. A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain , 2002 .
[51] Yossi Aviv,et al. Gaining Benefits from Joint Forecasting and Replenishment Processes: The Case of Auto-Correlated Demand , 2001, Manuf. Serv. Oper. Manag..
[52] C. E. Riddalls,et al. The optimal control of batched production and its effect on demand amplification , 2001 .
[53] Srinivasan Raghunathan,et al. Information Sharing in a Supply Chain: A Note on its Value when Demand Is Nonstationary , 2001, Manag. Sci..
[54] Robert D. Klassen,et al. Forecasting practices of Canadian firms: Survey results and comparisons , 2001 .
[55] M. Peters,et al. THE EFFECTIVENESS OF INFORMATION SYSTEMS IN SUPPORTING THE EXTENDED SUPPLY CHAIN , 2001 .
[56] Yan Dong,et al. TOWARDS BETTER COORDINATION OF THE SUPPLY CHAIN , 2001 .
[57] Spyros Makridakis,et al. The M3-Competition: results, conclusions and implications , 2000 .
[58] Robert L. Goodrich,et al. The Forecast Pro methodology , 2000 .
[59] Marshall L. Fisher,et al. Supply Chain Inventory Management and the Value of Shared Information , 2000 .
[60] M. Mady. Sales forecasting practices of Egyptian public enterprises: survey evidence , 2000 .
[61] D. Simchi-Levi,et al. The impact of exponential smoothing forecasts on the bullwhip effect , 2000 .
[62] Kamran Moinzadeh,et al. Adjustment Strategies for a Fixed Delivery Contract , 2000, Oper. Res..
[63] J. Fransoo,et al. Measuring the bullwhip effect in the supply chain , 2000 .
[64] Ananth V. Iyer,et al. Assessing the Value of Information Sharing in a Promotional Retail Environment , 2000, Manuf. Serv. Oper. Manag..
[65] Frank Y. Chen,et al. Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.: The Impact of Forecasting, Lead Times, and Information. , 2000 .
[66] Maureen Meadows,et al. Some properties of a simple moving average when applied to forecasting a time series , 1999, J. Oper. Res. Soc..
[67] P. Goodwin,et al. On the asymmetry of the symmetric MAPE , 1999 .
[68] David Taylor. Measurement and Analysis of Demand Amplification Across the Supply Chain , 1999 .
[69] Gérard P. Cachon,et al. Capacity Allocation Using Past Sales: When to Turn-And-Earn , 1999 .
[70] P. Kelle,et al. The effect of (s, S) ordering policy on the supply chain , 1999 .
[71] Ki Ling Cheung,et al. The impact of inventory information distortion due to customer order cancellations , 1999 .
[72] Hd Jung Hee-Don Jung,et al. Impacts of buyers order batching on the suppliers demand correlation and capacity utilization in a branching supply chain , 1999 .
[73] R. Kapuściński,et al. Value of Information in Capacitated Supply Chains , 1999 .
[74] M. Reiman,et al. Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information , 1998 .
[75] J. Cooke. CPFR: THE COUNTDOWN BEGINS , 1998 .
[76] Charles H. Fine. Clockspeed: Winning Industry Control In The Age Of Temporary Advantage , 1998 .
[77] Jan Holmström,et al. Handling product range complexity A case study on re-engineering demand forecasting , 1998, Bus. Process. Manag. J..
[78] Dominique M. Hanssens,et al. Order forecasts, retail sales, and the marketing mix for consumer durables , 1998 .
[79] J. Holmström. Product range management: a case study of supply chain operations in the European grocery industry , 1997 .
[80] Richard D. Metters,et al. Quantifying the bullwhip effect in supply chains , 1997 .
[81] David F. Pyke,et al. Exploiting timely demand information to reduce inventories , 1996 .
[82] Jacques Kiseta Sabiti. A fast estimation method for ARMA processes , 1996, Autom..
[83] A. Hameri. A method to avoid demand amplification in bulk paper distribution , 1996 .
[84] J. Scott Armstrong,et al. On the Selection of Error Measures for Comparisons Among Forecasting Methods , 2005 .
[85] C. McKenzie. The properties of some two-step estimators of ARMA models , 1997 .
[86] John T. Mentzer,et al. Forecasting Technique Familiarity, Satisfaction, Usage, and Application , 1995 .
[87] Howard F. Naish. Production Smoothing in the Linear Quadratic Inventory Model , 1994 .
[88] N. Sanders,et al. Forecasting Practices in US Corporations: Survey Results , 1994 .
[89] James D. Hamilton. Time Series Analysis , 1994 .
[90] Robert Fildes,et al. The evaluation of extrapolative forecasting methods , 1992 .
[91] Sergio G. Koreisha,et al. A GENERALIZED LEAST-SQUARES APPROACH FOR ESTIMATION OF AUTOREGRESSIVE MOVING-AVERAGE MODELS , 1990 .
[92] D. Sterman,et al. Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .
[93] Jane Edghill,et al. Industrial case-study on the dynamics and sensitivity of a close-coupled production-distribution system† , 1988 .
[94] M. Eichenbaum. Some Empirical Evidence on the Production Level and Production Cost Smoothing Models of Inventory Investment , 1988 .
[95] Douglas J. Dalrymple. Sales forecasting practices: Results from a United States survey , 1987 .
[96] A. Blinder. More on the Speed of Adjustment in Inventory Models , 1986 .
[97] James A. Kahn. Inventories and the volatility of production , 1986 .
[98] Andrew Caplin. The Variability of Aggregate Demand with (S, s) Inventory Policies , 1985 .
[99] Everette S. Gardner,et al. Exponential smoothing: The state of the art , 1985 .
[100] J. Sparkes,et al. Awareness and use of forecasting techniques in british industry , 1984 .
[101] John T. Mentzer,et al. Familiarity, application, and performance of sales forecasting techniques , 1984 .
[102] E. Hannan,et al. Recursive estimation of mixed autoregressive-moving average order , 1982 .
[103] Robert L. Winkler,et al. The accuracy of extrapolation (time series) methods: Results of a forecasting competition , 1982 .
[104] C. Chatfield. The Analysis of Time Series: An Introduction , 1990 .
[105] A. Blinder. Inventories and Sticky Prices: More on the Microfoundations of Macroeconomics , 1981 .
[106] Michèle Hibon,et al. Accuracy of Forecasting: An Empirical Investigation , 1979 .
[107] Graham K. Rand,et al. Decision Systems for Inventory Management and Production Planning , 1979 .
[108] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[109] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[110] Douglas C. Montgomery,et al. Forecasting and time series analysis , 1976 .
[111] H. Akaike. A new look at the statistical model identification , 1974 .
[112] John L. Burbidge,et al. The "new approach" to production , 1961 .
[113] M. E. Muller,et al. A Note on the Generation of Random Normal Deviates , 1958 .