Research on Classification of Back-Propagation Neural Network and Decision Tree in Demand Forecasting Model of Spare Parts
碩士 === 國立臺中科技大學 === 流通管理系碩士班 === 107 === Spare parts are not intermediate products or final products that are sold to consumers, spare parts are an essential part of maintaining smooth operation of production equipment during production activities. The function of the spare part is to ensure that th...
Main Authors: | Chiu-Yang Yu, 尤秋揚 |
---|---|
Other Authors: | Chih-Wen Yang |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/xw539v |
Similar Items
-
A Study on Demand Forecasting of Notebook Spare Parts: The Application of Back-Propagation Neural Network
by: Yiing-Jen Liou, et al.
Published: (2012) -
Applying Moving Bootstrap and Back-Propagation Neural Network for the Optimization Demand Forecasting Model of Spare Parts
by: Hao-Wei Li, et al.
Published: (2017) -
Spare Parts Demand Forecasting in Energy Industry
by: Alvin Muhammad Ainul Yaqin, et al.
Published: (2019) -
Stochastic model of forecasting spare parts demand
by: Ivan S. Milojević, et al.
Published: (2012-01-01) -
DEMAND FORECASTING FOR MOTOR VEHICLE SPARE PARTS
by: J.J. Strasheim
Published: (2012-01-01)