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- Title
Dynamic assessment of sustainable manufacturing capability based on correlation relationship for industrial cloud robotics.
- Authors
Tian, Sisi; Xie, Xiaotong; Xu, Wenjun; Liu, Jiayi; Zhang, Xiaomei
- Abstract
The industrial cloud robotics (ICRs) integrates distributed industrial robot resources in various places to support complex task processing for multi-resource service requirements, and manufacturing capability assessment plays an important role in determining the optimal service composition to realize the value-added of ICRs resources. However, ignoring correlation relationship within the robot composition, the traditional evaluation method cannot reflect the impact of the robot individuals on the overall manufacturing capability of the ICRs composition. In addition, the problems of excessive resource consumption and environmental pollution in the manufacturing industry are becoming increasingly serious. The paper proposes a dynamic assessment method of sustainable manufacturing capability for ICRs based on the correlation relationship. Firstly, an extensible multi-dimensional indicator system of sustainable manufacturing capability is constructed. Then, multiple composition correlation relationships among ICRs are analyzed to establish the correlation assessment model. Furthermore, a set of dynamic evaluation methods is proposed, in which raw data of the evaluation indicators is processed based on the service correlation model, and the traditional network analytic network process method is improved based on the data correlation model. Finally, a case study is implemented to show the reasonability and effectiveness of the proposed method in the assessment of sustainable manufacturing capability for ICRs.
- Subjects
SUSTAINABILITY; INDUSTRIAL robots; ANALYTIC network process; POLLUTION; INDUSTRIAL pollution; MANUFACTURING processes
- Publication
International Journal of Advanced Manufacturing Technology, 2023, Vol 124, Issue 9, p3113
- ISSN
0268-3768
- Publication type
Article
- DOI
10.1007/s00170-021-08024-z