Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing
Author:
Affiliation:
1. Department of Industrial and Management Engineering, Hanyang University , Ansan, Republic of Korea
2. Platform Team, Samsung SDS Corporation , Seoul, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1451664
Reference23 articles.
1. The Dynamic Enterprise Network Composition Algorithm for Efficient Operation in Cloud Manufacturing
2. Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing
3. A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system
4. A big data MapReduce framework for fault diagnosis in cloud-based manufacturing
5. Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm
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