Fig 1.
Basic structure of supply chain.
Fig 2.
Overall system of cloud manufacturing technology.
Fig 3.
Typical architecture of edge computing for intelligent plants.
Fig 4.
The manufacturing factory based on cloud-edge collaborative computing architecture.
Fig 5.
Architecture of cloud-edge collaborative computing.
Fig 6.
Workflow of cloud-edge collaborative computing.
Table 1.
Setting of experimental parameters.
Fig 7.
Relationship between fitting times and prediction errors.
Fig 8.
Eigenvalues and the weighted fitting processes ((a): eigenvalues of each cycle; (b): weighted fitting processes of each cycle).
Fig 9.
Prediction results of spare parts demand based on weighted eigenvalues ((a): weighted eigenvalues; (b): prediction results based on weighted eigenvalues; (c): error comparison of two processing methods).
Fig 10.
Weighted eigenvalues and prediction results ((a): weighted eigenvalues; (b): fitting processing of weighted eigenvalues; (c): comparison between prediction results and true results).
Fig 11.
Comparison of the results of two prediction methods.
Fig 12.
The prediction results of exponential smoothing method and quadratic exponential smoothing method ((a): the prediction results of exponential smoothing method; (b): the prediction results of quadratic exponential smoothing method).
Fig 13.
Performance comparison between two algorithms ((a)-(f) represent the experimental results from Task 1 to Task 6).
Table 2.
Allocation plan of CPU.