Dynamic hierarchical collaborative optimisation for process planning and scheduling using crowdsourcing strategies
Author:
Affiliation:
1. College of Management and Economics, Tianjin University, Tianjin, People’s Republic of China
2. School of Economics and Management, Shijiazhuang Tiedao University, Shijiazhuang, People’s Republic of China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Social Science Research Project of Colleges and Universities
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1892230
Reference57 articles.
1. Feature-based modelling approaches for integrated manufacturing: state-of-the-art survey and future research directions
2. Crowdsourcing and Crowdfunding in the Manufacturing and Services Sectors
3. Decomposition algorithms for the integrated process planning and scheduling problem
4. Mathematical Programs with Optimization Problems in the Constraints
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