Centralized Constrained Predictive Control on Information Coupled Supply Chain Management System

Supply chain management system (SCM) is a network of suppliers and manufacturers and warehouses and distributors and retailers, with large delay times. The control system aims at operating the supply chain at the optimal point despite the influence of demand changes. In this paper, an information coupled supply chain management system model based on “Beer Game Theory” was used and was developed to an supply chain management consist of supply, manufacture, warehouse, distribution, retailer units. Then a centralized constrained model predictive controller applied on that. Also a move suppression term added to cost function, which increased system robustness toward changes on demands.