The integration and application of a warehouse system and manufacturing system has become a manufacturing problem for enterprises. The main reason is that the information control system based on automation and stereo warehouse is inconsistent with the production and management information system of the enterprise in terms of business, data, functions, etc. Based on this, this paper studies the implementation of an automated warehouse based on the integration of ERP (enterprise resource planning) and WMS (warehouse management system) with the method and technology of the intermediate table. Moreover, MES (manufacturing execution system) is the brain and the core part of a sustainable digital factory. The enterprise adopts advanced intelligent and information technology to build and deploy the MES, realize fine management and agile production, and meet the personalized needs of the market. Therefore, this paper studies the implementation path and effect based on MES from an industrial realization to construct a sustainable digital factory. The research results of this paper can improve industrial efficiency and reduce costs for enterprises in storage capacity, handling capacity, response rate, rate of error, number of operators, etc.

Smart product service ecosystem (SPSE) has multi-level complexity. It is necessary to find a method to describe the hierarchical nested relationship and topological relationship of the structure of SPSE, so as to provide a systematic reference for the construction of industrial SPSE such as smart home and smart Internet-connected vehicle. Moreover, the explanatory ability of ecological service organization is insufficient, and there is a lack of accurate quantitative analysis and modeling tools. Therefore, this paper studies a survival system model and structural modeling for SPSE on sustainability using EVSM (eco-viable system model). In terms of case analysis, this paper applies the proposed methods and technologies to the structural modeling of smart home service ecosystem. The results show that EVSM model can intuitively analyze the nested hierarchical relationship of smart home service ecosystem through graphical method. This set of systematic methods has important application value for guiding the construction of system structure model of similar smart product service ecosystem and analyzing key growth and stability indicators.