Demand forecasting for production planning decision-making based on the new optimised fuzzy short time-series clustering
Author:
Affiliation:
1. a Institute of Astronautics and Aeronautics, University of Electronic Science and Technology of China , Chengdu 610054 , Sichuan Province , China
2. b Planning Department , Intel Products Ltd. , Phoenix , AZ , USA
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications
Link
https://www.tandfonline.com/doi/pdf/10.1080/09537287.2011.584578
Reference16 articles.
1. Anand, A., Suganthan, P.N., and Deb, K., 2007. A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data.In:IEEE congress on evolutionary computation, CEC 2007, 25–28 September, Singapore, 297–304
2. A mixed integer programming model for advanced planning and scheduling (APS)
3. A Novel Hidden Markov Model-Based Hierarchical Time-Series Clustering Algorithm
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