Innovation of production scheduling and service models for cloud manufacturing of tourism equipment based on artificial intelligence

The tourism equipment manufacturing industry is currently facing some challenges in production scheduling and service models. Traditional manufacturing scheduling and service models are difficult to meet market demand, resulting in low production efficiency and low customer satisfaction. Therefore, this article proposes a new production scheduling and service model by applying artificial intelligence technology to improve the efficiency and customer satisfaction of the tourism equipment manufacturing industry. This article adopts artificial intelligence technology to explore the innovative mechanisms of cloud manufacturing intelligent production scheduling and enterprise service models in the tourism equipment manufacturing industry. In terms of cloud manufacturing mode, through collaborative allocation of production scheduling and energy cost scheduling models, the reasonable arrangement of production tasks and optimal utilization of resources in the tourism equipment manufacturing industry have been achieved. In terms of optimizing comprehensive scheduling problems, optimization algorithms and intelligent scheduling systems are used to improve production efficiency and customer satisfaction. In terms of the innovation mechanism of enterprise service models, an overview of the service-oriented concept of manufacturing enterprises was provided, and a service model selection model was proposed. Through empirical analysis, the advantages and disadvantages of different service models were evaluated to better understand the production scheduling and service model problems in the tourism equipment manufacturing industry, and corresponding solutions and innovation mechanisms were proposed. The results verified the effectiveness of the production scheduling and service model based on artificial intelligence in the tourism equipment manufacturing industry. The new model has improved production efficiency and significantly improved customer satisfaction.