Logistics Supply Chain Management Based on Heuristic Multi-Constrained Combinatorial Optimization Method

Fierce competition in global markets and the heightened expectations of consumers have forced business enterprises to invest in and focus attention on the relationships with their customers and suppliers and businesses increasingly realize that they no longer compete as solely autonomous entities. Logistics supply chain management has become more and more important for the major retailing corporations. Logistics supply chain optimized design and operating management mechanisms are modeled for the major retailing corporation logistics supply chain management through the multi-constrained combinatorial optimization expression in this paper. Novel scheme based on heuristic soft computing technique is proposed to efficiently solve the multi-constrained combinatorial optimization major retailing corporation logistics supply chain management problems.