The leap from "Made in China" to "Created in China" is putting pressure on all industries to undergo digital transformation. In the face of the current trend of reshaping the global supply chain, the manufacturing industry presents an unremitting pursuit of three types of competitive advantages, establishing a "cost advantage" through the efficiency of "production execution"; By balancing manufacturing operations from order to delivery, we support our comprehensive business advantages; By developing "cluster" resource interconnection and complementarity, establishing "industrial symbiosis advantages", this is also accompanied by the iterative process of SIE Intelligent Manufacturing.
The iterative process of SIE Intelligent Manufacturing
In the past, the era of intelligent manufacturing 1.0
The digitalization of the manufacturing industry often revolves around traditional single factories, focusing on business management in a single field. When enterprises import systems, they will choose products from different vendors, such as MES manufacturing execution systems, WMS warehouse management systems, EAM asset management systems, SCADA data collection and monitoring systems, etc. The data between various systems cannot be connected, resulting in a forest of chimneys, information islands, and ineffective connection. Only limited traceability management can be carried out, making it difficult to improve production and operation efficiency. The digital transformation of enterprises from single factories to group operations encounters bottlenecks.
Mesh data integration between single systems
Appeal points for enterprise digital transformationIntelligent Manufacturing 1.0 EraHow much production capacity will be affected by the failure to achieve the production plan in the assembly workshop, incomplete material matching, and poor connection between upper and lower processes?
Is it difficult to trace the cause of early returns in the electronic product market to accurate material and operation batches? In a massive amount of paper documents, it is impossible to gather traceability records for a batch of products.
How to lower the granularity of equipment cost control?
Which of the massive paper documents is the current version of the current standard guidance book?
The core demands of enterprise digital transformationIntelligent Manufacturing 1.0 EraEstablish a 'cost advantage' through the efficiency and loss control of 'production execution'
Cost control: Support the sinking of input-output accounting to the process level;
Efficiency improvement: optimization and monitoring of resource rhythm control;
Quality Control; Control and traceability of production factors.
Now, in the era of intelligent manufacturing 2.0
The digitalization of the manufacturing industry revolves around group based multi factory operations, focusing on collaborative management of multiple fields of business, which has generated a demand for platform based management of the system. After understanding the requirements, a multi domain MOM system was built on a unified platform, and a multi industry manufacturing operation management solution was born.
By introducing a digital platform for manufacturing operations, enterprises have basically met the needs of horizontal collaboration in their business systems. However, how to achieve overall digital transformation and end-to-end collaboration in the value chain remains a major challenge for enterprises.
MOM Platform based Manufacturing Operations Management System
Appeal points for enterprise digital transformationIntelligent Manufacturing 2.0 EraHow to obtain operational support from business units and factories for controlling the group's operating budget?
How to improve overall efficiency by scheduling orders and connecting plans across multiple factories?
How to consider comprehensive solutions such as off-site material allocation and material substitution in the material planning process?
How to coordinate production, warehousing, and transportation to improve turnover speed?
The core demands of enterprise digital transformationIntelligent Manufacturing 2.0 EraBy balancing "from order to delivery", support the "comprehensive business advantage"
Supply and demand balance: forecasted balance of demand, commitment to customer delivery guarantee;
Business support: Support the unified operation of the group through characteristic control and CPI index system design under multi format operation.
In the future, the era of intelligent manufacturing 3.0
With the changing international situation and the trend of reshaping the global supply chain, the digital strategy of enterprises has also changed. By building a unified data and technology platform, digital management of cross enterprise supply chain manufacturing collaborative development of research, production, supply, marketing, and service can be achieved.
Appeal points for enterprise digital transformationIntelligent Manufacturing 3.0 EraHow to leverage the advantages of regional industrial platforms to achieve rapid demand sourcing and competitive collaboration?
How to establish a multi-party collaborative business operation indicator system and a transparent control tower for the industrial chain resource integration dimension?
How to build a green and low-carbon industrial chain?
How to coordinate planning and logistics planning to improve the overall operational efficiency of the industrial chain?
The core demands of enterprise digital transformationIntelligent Manufacturing 3.0 EraBy developing "cluster" resource interconnectivity and complementarity, establish "industrial symbiosis advantages"
Industrial Interconnection: Implementing industrial resource routing through industrial interconnection platforms;
Industrial data: Creating secure, shared, and innovative applications of industrial level data assets.
SIE Valley God MBM, born in response to the market
Actively explore the way to break the "digital divide" and help enterprises transform from digital to intelligent. For 18 years, SIE Information has devoted itself to the digitalization of the manufacturing industry, understood the development trend of the industry, and took it as its own responsibility to help China's manufacturing industry transform and upgrade digitally. It has innovated and explored, and launched the third generation product of intelligent manufacturing - Gushen MBM:
SIE Gushen MBM - model-based manufacturing products
SIE Gushen MBM On Demand App Mall
By building a unified digital platform to meet the needs of the era of collectivization and supply chain manufacturing collaboration, complex applications and low-cost integration of cross domain industrial clusters can be achieved;
By decoupling APP sets, reusing functional components, and utilizing low code development technologies, low-cost digital construction of agile small iterations can be achieved, and the ability to quickly respond to enterprise changes and continuously optimize can be built;
Through a consistent data service platform, various links of data governance are connected to achieve efficient data management and lower data application costs; At the same time, by combining industrial big data analysis and new technologies such as AI, continuous improvement of knowledge accumulation can be achieved, helping enterprises build data and achieve intelligent data management.
SIE Gushen Industrial Internet Platform
SIE's model-based manufacturing - Gushen MBM, based on the national "double span" platform - SIE Gushen Industrial Internet Platform, realizes safe and reliable digital connection through flexible combination of component design and flexible hierarchical deployment on the cloud side, and provides a stable foundation for enterprises to rebuild the next generation of digital leadership.
In the future, SIE Information will make use of its independent research and development capabilities and the industry's in-depth experience, adhere to the product based, service-oriented mission of making Chinese enterprises become the world's enterprises, continue to create an innovative technology engine, and enable the enterprise's industrial chain to coordinate high-quality development.
