Centralised demand information sharing in supply chains

[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 .