Title :
Research on the Demand Forecast of Emergency Material Based on Fuzzy Markov Chain
Author :
GUO, Zixue ; QI, Meiran
Author_Institution :
Sch. of Manage., Hebei Univ., Baoding, China
Abstract :
Demand forecast of emergency material is the precondition and foundation of planning emergency material storage strategy. Because of the emergency logistics have the characteristic as follows: sudden, uncertainty, non-conventional, the weak economy, complexity and so on, On the basis of defining the fuzzy condition and fuzzy transfer probability, the paper divides the emergency material demand into five fuzzy conditions: very small demand, small demand, general demand, high demand and very high demand, and proposes a forecast model of emergency material requirement based on fuzzy Markov chain. Finally, the availability of the proposed method was verified by analyzing the numerical example.
Keywords :
Markov processes; demand forecasting; fuzzy set theory; logistics; probability; storage; demand forecast; emergency logistics; emergency material storage strategy; fuzzy Markov chain; fuzzy condition; fuzzy transfer probability; Biological system modeling; Economics; Educational institutions; Forecasting; Logistics; Markov processes; Materials;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661145