MODELING THE EVOLUTION OF DEMAND FORECASTS ITH APPLICATION TO SAFETY STOCK ANALYSIS IN PRODUCTION/DISTRIBUTION SYSTEMS
- 1 May 1994
- journal article
- research article
- Published by Taylor & Francis in IIE Transactions
- Vol. 26 (3) , 17-30
- https://doi.org/10.1080/07408179408966604
Abstract
In this paper, we propose a general probabilistic model for modeling the evolution of demand forecasts, referred to as the Martingale Model of Forecast Evolution (MMFE). We combine the MMFE with a linear programming model of production and distribution planning implemented in a rolling horizon fashion. The resulting simulation methodology is used to analyze safety stock levels for a multi-product/multi-plant production/distribution system with seasonal stochastic demand. In the context of this application we demonstrate the importance of good forecasting.Keywords
This publication has 19 references indexed in Scilit:
- The inventory costs of common mis-specification of demand-forecasting modelsInternational Journal of Production Research, 1990
- Optimal Centralized Ordering Policies in Multi-Echelon Inventory Systems with Correlated DemandsManagement Science, 1990
- A Bayesian Approach to the Two-period Style-goods Inventory Problem with Single Replenishment and Heterogeneous Poisson DemandsJournal of the Operational Research Society, 1990
- Production Planning of Style Goods with High Setup Costs and Forecast RevisionsOperations Research, 1986
- Bayes Solution to Dynamic Inventory Models Under Unknown Demand DistributionManagement Science, 1985
- Conditions for the Existence of Planning HorizonsMathematics of Operations Research, 1984
- A Guide to SimulationPublished by Springer Nature ,1983
- The Power Approximation for Computing (s, S) Inventory PoliciesManagement Science, 1979
- An Analytic Framework for Evaluating Rolling SchedulesManagement Science, 1979
- Simulation Tests of Lot Size ProgrammingManagement Science, 1963