How a Base Stock Policy Using "Stale" Forecasts Provides Supply Chain Benefits
Published Online:1 Apr 2004https://doi.org/10.1287/msom.1030.0034
References
- The effect of collaborative forecasting on supply chain performance. Management Sci. (2001) 47(10):1326–1343Link, Google Scholar
- Gaining benefits from joint forecasting and replenishment processes: The case of auto-correlated demand. Manufacturing Service Oper. Management (2002) 4(1):55–74Link, Google Scholar
- Time Series Analysis Forecasting and Control (1994) 3rd ed.(Holden-Day, San Francisco, CA) 110–114Google Scholar
- Why are forecast updates often disappointing? Manufacturing Service Oper. Management (2000) 2(2):119–127Link, Google Scholar
- 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
- Efficient supply contracts for fashion goods with forecast updating and two production modes. Management Sci. (2000) 46(11):1397–1411Link, Google Scholar
- Optimal policies and approximations for a serial multiechelon inventory system with time-correlated demand. Oper. Res. (2003) 51(6):969–980Link, Google Scholar
- Commitment decisions with partial information updating. (2003) . Working paper, DuPree College of Management, Georgia Tech, Atlanta, GAGoogle Scholar
- Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. (1996) 44(1):87–99Link, Google Scholar
- Stock positioning and performance estimation in serial production-transportation systems. Manufacturing Service Oper. Management (1999) 1(1):77–88Link, Google Scholar
- A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management (1999) 1(1):50–61Link, Google Scholar
- A dynamic model for requirements planning with application to supply chain optimization. Oper. Res. (1998) 46:S35–S49Link, Google Scholar
- , . Two-stage production planning in a dynamic environment. Multi-Stage Production Planning and Inventory Control, Lecture Notes in Economics and Mathematical Systems (1986) 266(Springer-Verlag, Berlin, Germany) 9–43Crossref, Google Scholar
- Note: Optimal ordering decisions with uncertain cost and demand forecast updating. Management Sci. (1999) 45(10):1456–1462Link, Google Scholar
- Multiproduct production scheduling for style goods with limited capacity, forecast revisions and terminal delivery. Management Sci. (1972) 18(7):370–383Link, Google Scholar
- Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Trans. (1994) 26:17–30Crossref, Google Scholar
- Quick response in manufacturer-retailer channels. Management Sci (1997) 43(4):559–570Link, Google Scholar
- Optimality of myopic inventory policies for certain dependent demand processes. Management Sci. (1975) 21(11):1303–1307Link, Google Scholar
- Utilizing forecast band refinement for capacitated production planning. Manufacturing Service Oper. Management (2001) 3(1):68–81Link, Google Scholar
- Information distortion in a supply chain. Management Sci. (1997) 43(4):546–558Link, Google Scholar
- On the complementary value of accurate demand information and production and supplier flexibility. Manufacturing Service Oper. Management (2002) 4(2):99–113Link, Google Scholar
- Order quantity versus order timing flexbility in supply chains: The role of demand characteristics. (2004) . Working paper, Joseph L. Rotman School of Management, University of Toronto, Toronto, CanadaGoogle Scholar
- News flash: Supply chain performance degraded by improved forecasts! (2003) . Working paper, Stanford University, Stanford, CAGoogle Scholar
- Optimal properties of exponentially weighted forecasts. Amer. Statist. Association J. (1960) 55:299–306Crossref, Google Scholar
- An empirical analysis of forecast sharing in the semiconductor equipment supply chain. (2004) . Working paper, The Wharton School, University of Pennsylvania, Philadelphia, PAGoogle Scholar
- Analysis of a forecasting-production-inventory system with stationary demand. Management Sci. (2001) 47(9):1268–1281Link, Google Scholar

