The machinery and equipment industry is in the upstream of the industrial chain, providing various types of equipment for a large number of manufacturing enterprises, which is the cornerstone of Made in China. Under the disruptive trend of digitalization, sustainable development vision, and the increasing demand for chain resilience, the machinery and equipment industry is facing a critical transition period.
How to improve the quality and service level of equipment products with the help of digital and intelligent technology, and achieve new value growth, has become an urgent problem for machinery and equipment enterprises at this stage.
First, the characteristics of machinery and equipment manufacturing enterprises
Complexity of equipment and systems
The equipment and systems involved in machinery and equipment manufacturing enterprises are often very complex and require professional technicians to operate and maintain. This makes digital transformation more difficult, as these devices and systems need to be digitally transformed before they can be realized.
Data processing is difficult
The large amount of data generated in the manufacturing process of machinery and equipment needs to be processed and analyzed in order to optimize production processes, improve product quality and equipment failures. However, the processing and analysis of this data requires specialized technologies and tools, which makes digital transformation more difficult.
High degree of customization
Machinery and equipment manufacturing enterprises usually need to customize production according to the specific needs of customers, with small batches, many types, and many special requirements and standards. This highly customized production method requires enterprises to have strong production capacity and technical level, tens of thousands of parts, and complex BOM structure, which increases the difficulty of digital transformation.
Highly discrete
The manufacturing process of machinery and equipment is highly discrete, due to the large number of parts, the overall assembly is divided into a number of independent processing processes, the production plan needs to coordinate the personnel, equipment, materials, information and progress of each production line, and the plan execution is very difficult, which poses a challenge to the material requirements calculation (MRP) requirements in the ERP system.
Long production cycle
Due to the customized and discrete manufacturing model, the production cycle of machinery and equipment is very long, and the production cycle of some equipment may be as long as one year from the procurement of parts to the completion of the first equipment. If there is a shortage of materials for some parts or there are design changes, the delivery time will be forced to be extended, and it will be difficult to deliver on time.
Inventory pressure is high
Due to the long production cycle of machinery and equipment, resulting in a backlog of raw materials and parts in the system, some companies will reserve some inventory in advance in order to shorten the delivery time. Equipment manufacturers want to provide after-sales maintenance, so they also need to prepare some spare parts inventory, and a large amount of inventory occupies the working capital of the enterprise.
2. The significance of the digital transformation of machinery and equipment manufacturing enterprises
Increase productivity
Digital transformation can realize the intelligence and optimization of the production process through automation, Internet of Things, big data analysis and other technical means, which can help enterprises improve production efficiency, reduce production costs, and improve capacity utilization.
Improve product quality
Digital transformation can improve the precision and quality of products through refined production process control. At the same time, through real-time monitoring and analysis of product quality data, quality problems can be found and solved in a timely manner, and the overall quality of products can be improved.
Meet individual needs
Digital transformation can help machinery and equipment manufacturing enterprises to better meet the individual needs of consumers and customized production trends. Through digital technology, companies can interact more closely with their customers, collect and analyze consumer data, and personalize the design, production and delivery of products.
Innovative business models
Digital transformation can help machinery and equipment manufacturing enterprises explore new business models, such as Internet-based leasing models, sharing economy models, etc., which can help enterprises maximize value and improve market competitiveness.
Improve decision-making efficiency
Digital transformation enables data-driven decision-making and improves decision-making efficiency and accuracy. Through digital technology, enterprises can better understand market needs and trends, and support enterprises to formulate more scientific development strategies.
Optimize the management of the first chain
Digital transformation can make the management of the first chain more efficient and visualized, through digital technology, manufacturing enterprises can achieve real-time monitoring of the first chain, optimization of inventory management, traceability of logistics, etc., so as to improve the response speed of the first chain, reduce inventory costs, and provide better customer service.
Reduce operational risk
Digital transformation can help machinery and equipment manufacturing enterprises better manage risks, improve the reliability and safety of operations, through digital technology, enterprises can realize remote monitoring and maintenance of equipment, timely find and solve potential problems, reduce equipment failure rate and maintenance costs.
3. How to empower the digital transformation and upgrading of enterprises
Dassault Systèmes provides a series of products and services that can help machinery and equipment manufacturing enterprises achieve digital transformation and upgrading, and the following are several aspects of how Dassault products can empower the digital transformation and upgrading of machinery and equipment manufacturing enterprises
Digital modeling and tools
Dassault Systèmes' 3D modeling and software can help enterprises carry out digital design and analysis, help enterprises achieve digital modeling and analysis, improve product design quality and efficiency, and accelerate product time-to-market. Through these software, enterprises can optimize product design and improve product quality and market competitiveness in the product design stage.
Applicable products:
solidworks 3d cad
Simulia (Multiphysics Platform);
CATIA (CAD Cae CAM Integration);
3dexperience;
Production automation and intelligent tools
Automation is the automatic completion of work by equipment according to the set program, and is mostly used for single repetitive work with strong process, such as the manufacturing industry. Intelligence is to perceive the environmental state through various sensors, and to digitize and variate the changes in the environmental state. The control system controls the target equipment according to the preset behavior rules and refers to the environment variables, so that it can automatically adjust the state to complete the work.
Dassault Systèmes' production automation and intelligence tools can help companies achieve optimized production, advanced manufacturing and industrial digitalization capabilities. For example, through the automated production line to open up and optimize the manufacturing logic, to achieve driven production and efficiency improvement;Automatic collection of product data, zero error engraving, zero damage bending, 3D vision technology application, zero defects off the production line, etc. At the same time, sensors are used to sense changes in the environment and automatically adjust according to changes to realize the intelligence of the equipment.
Dassault Systèmes also offers a range of production automation and intelligence tools that can help companies digitize and intelligentize their production lines, which can improve production efficiency and reduce production costs, while also improving product quality and safety.
Applicable products:
DELMIA (Digital Factory Solution).
ENOVIA (Product Lifecycle Management);
PDM (Product Data Management);
solidworks composer;
3dexperience;
Digital chain management
The core of digital chain management lies in the collection, processing and analysis of data, through digital technology, enterprises can collect a large amount of data, including order data, inventory data, logistics data, etc., these data can be processed and analyzed, which can help enterprises make more informed decisions and optimize the operation of the chain.
In the digital ** chain management, enterprises need to establish a sound digital infrastructure and data management system to ensure the accuracy and security of data. At the same time, enterprises also need to continuously optimize the digital chain management process and system to adapt to the changing market demand and competitive environment.
Dassault Systèmes provides a digital chain management platform, which can help enterprises to achieve information sharing and collaboration with merchants and customers, which can improve the transparency and efficiency of the chain and reduce inventory costs and logistics costs.
Applicable products:
ENOVIA (Product Lifecycle Management);
3dexperience;
delimiaworks;
Digital factory planning and management
Digital factory planning and management includes process planning, production line layout optimization, factory modeling and verification. In process planning, enterprises can use the three-dimensional digital environment to plan the process of the product, formulate the process route, resource allocation, working hour quota, etc., and verify the processing process. In the optimization of production line layout, enterprises can use three-dimensional digital models to optimize the layout of workshops, logistics channels, manufacturing resources, etc., so as to improve production efficiency. In factory modeling and verification, enterprises can use virtual manufacturing technology to model and verify factories to find and solve problems in the production process.
In the planning and management of digital factories, enterprises need to establish a sound digital infrastructure and data management system to ensure the accuracy and security of data. At the same time, enterprises also need to continuously optimize the digital factory planning and management processes and systems to adapt to the changing market demand and competitive environment.
Dassault Systèmes' digital factory planning and management software can help enterprises realize digital management and optimization of factories, help enterprises realize the visualization and intelligence of production processes, and improve production efficiency and product quality.
Applicable products:
ENOVIA (Product Lifecycle Management);
solidworks manage;
3dexperience;
Simulia (Multiphysics Platform);
Digital marketing and sales
Digital marketing and sales need to use digital technology to promote and sell products or services to improve the brand awareness, sales and marketing efficiency of enterprises. In digital marketing and sales, enterprises need to establish a sound digital infrastructure and data management system to ensure the accuracy and security of data. At the same time, enterprises also need to continuously optimize their digital marketing and sales processes and systems to adapt to changing market needs and competitive environments.
Dassault Systèmes' digital marketing and sales software can help enterprises achieve digital management and precision marketing for customers, help enterprises understand customer needs and preferences, achieve personalized marketing and sales, and improve customer satisfaction and loyalty.
Applicable products:
3dexperience;
solidworks visualize
Visualization & Digital Twin Technology;
Single-axis hexagonal automatic lathe turret turret.
The state encourages scientific and technological innovation, with the steady advancement of intelligent manufacturing, on the basis of the ERP that has been built, the PLM system is introduced, the 3D data flow of intelligent manufacturing is created, the rapid transformation to a digital enterprise, and the digital R&D collaboration of model-based design, process, manufacturing, testing, and service can truly take root. The next issue of the highlight "What role does the PLM system play in the transformation of tradition and the future?".Stay tuned.
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Written by: Chengdu Hengrui.
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