There is no doubt that the collaborative management of multiple production lines and multiple factories has become a key factor for the Group to build its core competitiveness. The business penetration and collaboration of the enterprise's internal supply chain and R&D chain need to be carried out based on unified data standards and unified integration specifications. Data standardization will become an effective means of empowering the digital transformation of enterprises.
1. Customer demands
In recent years, with the country's advocacy and support for the new energy industry, China's demand for new energy vehicles has shown explosive growth.
The strategic goal of an automobile battery manufacturer is to occupy 25% of the global market share by 2025. In order to ensure the realization of the strategic goal of production capacity, the company will build its industry competitiveness in terms of multi-factory construction and new technology application to support the implementation of the strategic goal. Subsequently, more than 20 manufacturing bases and more than ten R&D centers have been deployed around the world. In this context, start basic data governance and factory data standardization work, including:
01. Establish factory data standards
Establish data organization, standards, and processes to improve data awareness of all employees and attach importance to data quality.
02. Promote multi-factory collaboration
Construct single-factory standard data, and then form a multi-factory integrated collaboration model to improve business efficiency.
03. Support unified management and control
Open up data transfer channels between factories, headquarters and factories, and support overall decision-making.
Two, the solution
▎ Constructing data standards for manufacturing resources, Lacy R&D, production, supply, marketing and service business understanding
to formulate detailed data specifications and standards around the data throughout the main production line, including products, parts, semi-finished products, raw materials, fasteners, electronic components, More than 20 types of data standards such as electrical components, tooling, packaging, EBOM, MBOM, process routes, standard procedures, suppliers, customers, organizations, personnel, projects, accounting subjects, and equipment.
▎ Construct data integration specifications to realize factory business collaboration with unified interface
Sort out the data flow between systems and systems, systems and equipment, and equipment and equipment in the factory to achieve business and data alignment. According to data integration requirements, unify the integration architecture, standardize integration standards, and support the integration of various systems, systems and equipment; complete 150+ interface integration, promote data collaboration within a single factory, and improve overall production efficiency.
▎ Unify the data model of MES\MoM system to promote production and operation management and control
Based on MES and MOM business systems, complete 800+ form sorting, standardize business processes and input and output forms, and form a unified data model specification, involving production management, quality management, equipment management , warehouse management, maintenance operation, quality management six parts. Provide a standard data model for the subsequent construction of new factories, and lay the foundation for the realization of refined management and control based on a unified data model.
3. Application value
Value 1: Factory reuse and capacity expansion based on unified manufacturing resource standards
New factory reuse 25 types of basic data standards, 150+ integrated interfaces, 800+ production data standards, for business collaboration within the factory and among multiple factories And lay the foundation for the scale-up of production.
Value 2: Group headquarters' refined operation management and control based on unified standards The
consistency and standardization of multi-factory data provides a data basis for the group's unified procurement, unified production scheduling, and optimization of production capacity allocation, effectively supporting business management and control.
Value 3: Data standardization helps the construction of industry lighthouse factories.
It lays a data foundation for the subsequent digital twins of production lines and typical applications of factory digital twins. The standardization work will effectively assist the digital transformation and upgrading of enterprises and the construction of industry lighthouse factories.