Resolve Supply Chain Procurement Conflict Based on Multi-Agent Adaptive Collaborative Negotiation
نویسندگان
چکیده
To solve the procurement conflict between supplier and manufacturer, this paper proposes a collaborative planning model and an adaptive negotiation method by integrating intelligent multi-agent technology. First, a collaborative procurement, inventory and production planning model is built using the multi-level multi-item capacitated lot sizing problem method. Then the particle swarm optimization algorithm is combined with the simulated annealing algorithm to advance an adaptive negotiation method to solve the model taking the price and quantity of the raw materials as the negotiation items. The procurement conflict is resolved by achieving a mutually satisfactory agreement through the planning model and negotiation method. The simulation experiment shows the feasibility and effectiveness of the multi-agent adaptive collaborative negotiation method, which can reduce the total cost of supply chain and eliminate conflict. Compared with the genetic algorithm, the total cost reduction is larger, the local optimum is avoided, and negotiation times are decreased.
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