Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model-Reference-Cited by-同舟云学术

Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model

Published:2003-12 Issue:14 Volume:30 Page:2097-2114
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Ghobbar Adel A.,Friend Chris H.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference35 articles.

1. Friend CH, Ghobbar AA. Aircraft maintenance and inventory control: using the material requirements planning system—can it reduce costs and increase efficiency? SAE Airframe Finishing Maintenance and Repair Conference and Exposition, Jacksonville, FL, USA, paper no. 961253, 1996.

2. Aircraft maintenance and inventory control using the reorder point system;Ghobbar;International Journal of Production Research,1996

3. A study of the MRP implementation process;White;Journal of Operations Management,1982

4. A simulation framework for forecasting uncertain lumpy demand;Bartezzaghi;International Journal of Production Economics,1999

5. Forecasting and stock control for intermittent demands;Croston;Operational Research Quarterly,1972

Cited by 156 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Empirical Study on Improving the Accuracy of Demand Forecasting Based on Multi-Machine Learning;Journal of the Korea Institute of Military Science and Technology;2024-06-05

2. Bayesian hierarchical modelling of sparse count processes in retail analytics;The Annals of Applied Statistics;2024-06-01

3. INTELLIGENT DEMAND FORECASTING APPROACHES FOR SPARE PARTS IN THE ENERGY INDUSTRY;INT J IND ENG-THEORY;2024

4. A Data-driven Approach for Planning Stock Keeping Unit (SKU) in a Steel Supply Chain;International Journal of Mathematical, Engineering and Management Sciences;2024-04-01

5. Evaluation of forecasting models for improved passenger market management and rolling stock planning on Indian railways;foresight;2024-03-20