Integrated demand forecasting and planning model for repairable spare part: an empirical investigation
Author:
Affiliation:
1. Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
2. Cardiff Business School, Cardiff University, Cardiff, UK
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2137596
Reference47 articles.
1. Amin-Naseri, Mohammad Reza, and B. Rostami Tabar. 2008. “Neural Network Approach to Lumpy Demand Forecasting for Spare Parts in Process Industries.” 2008 International Conference on Computer and Communication Engineering, 1378–1382. Kuala Lumpur: IEEE.
2. Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by using Artificial Intelligence (AI)
3. Evaluation of unidirectional lateral transshipments and substitutions in inventory systems
4. A new method to forecast intermittent demand in the presence of inventory obsolescence
5. A periodic inventory system of intermittent demand items with fixed lifetimes
Cited by 6 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. A comparative assessment of holt winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains;Supply Chain Analytics;2024-12
2. INTELLIGENT DEMAND FORECASTING APPROACHES FOR SPARE PARTS IN THE ENERGY INDUSTRY;INT J IND ENG-THEORY;2024
3. Supplier Evaluation in Supply Chain Environment Based on Radial Basis Function Neural Network;International Journal of Information Technology and Web Engineering;2024-03-07
4. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations;International Journal of Production Research;2024-02-13
5. Sales forecasting of a food and beverage company using deep clustering frameworks;International Journal of Production Research;2023-07-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3