Optimal configuration of cluster supply chains with augmented Lagrange coordination

摘要: A distributed CSCC model enabling coupled decision mechanism is built with ALC formulation.A systematic approach comprising analysis, model, and solution techniques proposed.A generic framework procedure proposed toward problems.An experiment sensitivity analysis are provided to show effectiveness of using for resolving a problem. Enterprises in an industrial cluster could dynamically alliance the form supply chains share inner-cluster resources services, respond ever-fluctuating customer demands cost-effective way. However, effective feasible method such dynamic chain configuration (CSCC) lags behind practice due conflict interests. Researchers designing All-in-One theoretic models optimize assumed details all enterprises, while fact clustered enterprises seeking decentralized mechanisms which protect their autonomy frequently re-configured CSC. newly emerged multi-disciplinary optimization method, Augmented Lagrangian Coordination (ALC), supports open-structure collaboration strict convergence, thoroughly investigated this paper applied solve conflict. Through complete CSC's policies typical stages, then partitioned into ALC-based by distribution clusters. Clustered collaborate vertically laterally along through multi-dimensional couplings achieve overall consistency optimality. Results have proved set also conducted find out condition order has be fulfilled CSC most appropriate configuration.