Digital Factory Solution for Glass Processing Industry

Plan Overview:

Max Era takes the core pain points and needs of enterprises as the driving force, combined with the process characteristics and management characteristics of glass processing enterprises, to create MOM manufacturing and operation management system, providing one-stop solutions for enterprises, solving problems in the production and operation processes, empowering the digital transformation of enterprises, enhancing their refined management capabilities, reducing production and operation costs, and providing guarantees for the improvement and efficiency of enterprises. This solution will be divided into three steps: first, to achieve digitalization and transparency of the enterprise; The second is to achieve intelligent collaboration of end-to-end value chain processes; The third is to achieve intelligent decision-making based on big data on the basis of accumulated large amounts of real and accurate internal and external data.

Industry Status:

Due to the low threshold for entry, the glass deep processing industry is small and scattered in scale, numerous and disorderly, with low resource utilization, and the market has reached a state of oversupply. Digital transformation, as an opportunity for enterprise upgrading and transformation, is a necessary path for enterprises. At present, there are the following problems with informationization in the glass industry:

1. Multi variety, small batch production, low on-time delivery rate of orders;

2. Failure to achieve collaborative management of production, supply, and marketing has led to an increase in production and operational costs for the enterprise;

3. The quality control of the product process is not strict enough, which can easily lead to quality fluctuations in the product;

4. The serious inventory backlog and fragile nature of glass products require companies to have a certain amount of inventory to ensure delivery;

5. The mismatch between inventory and orders, poor planning, resulting in wasted production capacity, and continuous departmental coordination issues;

6. Lack of effective means for intelligent decision analysis to provide support for enterprise operation management;

Application architecture:

Following the overall architecture design concept of "big platform, light application, and microservices", we plan the overall application architecture for digital transformation in the glass processing industry, which is mainly divided into six layers: equipment layer, network transmission layer, platform support layer, MOM manufacturing and operation system, system integration, and intelligent decision-making. Based on the industrial Internet of Things platform, we aim to achieve real-time data collection of underlying PLCs, DCS, instruments, intelligent equipment, etc., providing a solid data foundation for enterprises. The platform can horizontally connect real-time data at the bottom layer and vertically connect data at various business layers, achieving data interoperability between various systems of the enterprise. Building a MOM integrated application system based on a supporting platform, including production modeling, process management, order planning, production management, warehouse management, quality management, equipment management, kanban management, etc., to solve the core pain points of enterprise production management and operation management, and help enterprises reduce costs and increase efficiency. The platform provides rich big data analysis capabilities to ensure scientific and intelligent decision-making of enterprise data.

Construction effectiveness:

After the successful construction of MOM system, enterprises will be improved and enhanced from multiple dimensions. At the data level, the coverage rate of enterprise data collection will reach over 95%, improving the utilization rate of enterprise data; On the production level, the production pace of enterprises will increase by about 10%, the utilization of production lines will be more reasonable, the inventory backlog rate will be reduced by about 15%, and the product quality will be improved to a certain extent; At the management level, achieve paperless office and reduce communication costs between departments; At the level of business decision-making, achieve the synergy of production, supply, and marketing, and improve decision-making ability by about 50%;