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In the era of meager profit, production costs often become an important factor affecting SMEs’ operating\udconditions, and how to effectively reduce production costs has become an issue of in-depth consideration\udfor the business owners. Especially, the food and beverage (F&B) industry cannot accurately predict the\uddemand. It many cause demand forecast fall and excess or insufficient inventory pressure. Companies of\udthe F&B industry may be even unable to meet immediate customer needs. They are faced great challenges\udin quick response and inventory pressure. This study carried out the product inventory model analysis of\udthe most recent year’s sales data of the fresh food materials for chain restaurants in a supply chain region\udwith raw material suppliers and demanders. Moreover, this study adopted the multi-agent dynamic strategy\udgame to establish the joint procurement decision model negotiation algorithm for analysis and verification\udby simulation cases to achieve the design of dynamic negotiation optimization mechanism for the joint\udprocurement of food materials. Coupled with supply chain management 3C theory for food material\udinventory management, we developed the optimization method for determining the order quantities of the\udchain restaurants. For product demand forecast, we applied the commonality model, production and\uddelivery capacity model, and the model of consumption and replenishment based on market demand\udchanges in categorization and development. Moreover, with the existence of dependencies between product\uddemands as the demand forecast basis, we determined the appropriate inventory model accordingly

international journal of computer science and information technology/international journal of computer science and information technology  (chennai. print)

A Study on the Chain Restaurants Dynamic Negotiation Games of the Optimization of Joint Procurement of Food Materials