Over-reaction to Demand Changes due to Subjective and Quantitative Forecasting
نویسندگان
چکیده
In this paper, we study managers’ errors in decision making for inventory replenishment and how these errors affect their inventory system. In particular, primarily for its expected relationship with the bullwhip effect, we focus on the error of the over-reaction to demand changes and a common contributor of decision making biases: forecasting of demand. By over-reaction we mean that the manager over (under) orders when seeing a change in demand. We show that our representative manifestations of forecasting managers’ subjective response to demand signals and the use of simple quantitative forecasting techniques share similar consequences: both can result in an increase in internal costs and in the uncertainty and volatility of the system’s replenishment orders. Further results of this paper provide argument and thus incentive for mitigating the bullwhip effect by relating it to decision making that would help reduce costs for the manager as well.
منابع مشابه
A Three-phase Hybrid Times Series Modeling Framework for Improved Hospital Inventory Demand Forecast
Background and Objectives: Efficient cost management in hospitals’ pharmaceutical inventories have the potential to remarkably contribute to optimization of overall hospital expenditures. To this end, reliable forecasting models for accurate prediction of future pharmaceutical demands are instrumental. While the linear methods are frequently used for forecasting purposes chiefly due to their si...
متن کاملForecasting climate changes of Ziarat watershed in Gorgan city
Climate is a complex system which is changing mainly due to the increase of greenhouse gases. Because of the importance of climate change and the effects it can have on water resources, in recent years, this topic has been taken into consideration for different basins on Earth. The objective of this study is to investigate the effects of climate change and forecasting meteorological variables o...
متن کاملTime-Varying Transmission Mechanism of Oil Shocks in the Global Crude oil Market: A TVP-VAR Approach
In this paper, we have utilized a time-varying parameter vector autoregressive model in order to examine the structural changes in the transmission mechanisms of oil price shocks in the global crude oil market over the period of 1985-2016. In this setting, the contemporaneous response of real oil price and crude oil production to flow oil supply shock, flow oil demand shock, and speculative dem...
متن کاملA forecasting system by considering product reliability, POQ policy, and periodic demand
This paper presents an economic production quantity (EPQ) model with a periodic order quantity (POQ) policy, product reliability and periodic demand. The machine reliability has decreased over time; therefore, the rates of perfect and defective products reduce and increase over time, respectively. A fixed percentage of these products are reworked while the rest is wasted. Some equipment in thei...
متن کاملProposing an Innovative Model Based on the Sierpinski Triangle for Forecasting EUR/USD Direction Changes
The Sierpinski triangle is a fractal that is commonly used due to some of its characteristics and features. The Forex financial market is among the places wherein this trianglechr('39')s characteristics are effective in forecasting the prices and their direction changes for the selection of the proper trading strategy and risk reduction. This study presents a novel approach to the Sierpinski tr...
متن کامل