Quantitative analysis for measuring and suppressing bullwhip effect
نویسندگان
چکیده
منابع مشابه
Modeling and Measuring the Bullwhip Effect
The bullwhip effect is a phenomenon commonly observed in industry. It describes how the distortion of demand information in a supply chain amplifies demand variance as it moves from consumption point up the supply chain to layers of suppliers. The bullwhip effect has been a subject of intensive research activities. Researchers have tried to address questions such as: What causes the bullwhip ef...
متن کاملMeasuring and avoiding the bullwhip effect: A control theoretic approach
An important contributory factor to the bullwhip effect (i.e. the variance amplification of order quantities observed in supply chains) is the replenishment rule used by supply chain members. First the bullwhip effect induced by the use of different forecasting methods in order-up-to replenishment policies is analysed. Variance amplification is quantified and we prove that the bullwhip effect i...
متن کاملAnalysis of Bullwhip Effect Based on ABMS
With the globalization and the development of information technology, supply chain has become a complex system. In this paper, ABMS(Agent-based model and simulation), as one of the scientific and dynamic research methods for complex system, is applied to establish a supply chain model and determine its abundant bullwhip effect phenomenon under swarm platform. Based on analysis of certain condit...
متن کاملBullwhip Effect Analysis in Supply Chain for Demand Forecasting Technology
On the basis of the AR(1) stochastic process model for consumer demand which was introduced by Professor H.L.Lee, qualified and simulation model of bullwhip effect are established when order-up-to inventory policy is employed, which investigate demand variability caused by forecasting technology, such as moving average (MA) method, exponentially weighted moving average (EWMA) method or mean squ...
متن کاملSimulation Analysis for the Bullwhip Effect in Supply Chain Model
This paper introduces the confidence interval estimate for measuring the bullwhip effect, which has been observed across most industries. Calculating a confidence interval usually needs the assumption about the underlying distribution. Bootstrapping is a non-parametric, but computer intensive, estimation method. In this paper, a simulation study on the behavior of the 95% bootstrap confidence i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: YUJOR
سال: 2018
ISSN: 0354-0243,1820-743X
DOI: 10.2298/yjor161211019j