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About Optimal Configuration of Cluster Supply Chains With Augmented Lagrange Coordination
1. The document proposes using augmented Lagrangian coordination (ALC), a decentralized optimization method, to solve the conflict between optimal cluster supply chain configuration (CSCC) and the decision autonomy of clustered enterprises. 2. A generic CSCC model is developed and partitioned into a decentralized decision model using ALC, allowing clustered enterprises to collaborate vertically and laterally while protecting their decision autonomy. 3. Results show ALC is effective for the CSCC problem by enabling open-structure collaboration with strict optimization convergence among enterprises with different interests.
Detailed Information
Author: | ['MUHAMMAD SYAFI HR'] |
---|---|
Publication Year: | 2019 |
Pages: | 13 |
Language: | English |
Format: | |
Price: | FREE |
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