Digital transformation of machinery industry: Smart manufacturing, smart products and smart factories lead new business models

This paper deeply discusses the connotation and extension of the digital intelligent transformation of machinery industry, and focuses on the key role of intelligent manufacturing, intelligent products, intelligent factories and new business models in the transformation process. The development of intelligent manufacturing and intelligent products has brought significant impact on the traditional machinery industry production mode, including the automation, digitalization and intelligence of the production process, improving production efficiency and quality, reducing production costs, realizing customized production and strengthening supply chain management. Through the implementation of digital intelligent transformation, the machinery industry is expected to achieve comprehensive innovation and upgrading, improving competitiveness and the ability to adapt to market changes.

First, the machine industry digital intelligent transformation: intelligent manufacturing, intelligent products, intelligent factories, new business models

With the rapid development of science and technology, digital transformation has become an urgent need of all walks of life. For the machinery industry, the transformation of digital intelligence not only means to improve production efficiency and reduce costs, but also the key to enhance competitiveness. This paper will focus on intelligent manufacturing, intelligent products, intelligent factories and new business model four keywords, in-depth discussion of the mechanical industry digital intelligent transformation of the connotation and extension.

Intelligent manufacturing

Intelligent manufacturing refers to the automation, intelligence and efficiency of the production process through the introduction of advanced digital technology and artificial intelligence technology in the production process. Intelligent manufacturing can improve production efficiency, reduce costs and improve product quality, which is an important direction of modern industrial development.

In recent years, intelligent manufacturing has become an important development direction of the global manufacturing industry. According to the International Federation of Robotics (IFR), the global installation of industrial robots reached 439,000 units in 2020, an increase of 12% year-on-year. The global industrial robot market is expected to reach $74 billion by 2025.

1. Digital technology: Digital technology is the basis for intelligent manufacturing. By collecting, sorting and analyzing various data in the production process, the transparency, traceability and optimizability of the production process can be realized. For example, through data acquisition and analysis, equipment status can be monitored in real time, equipment failures can be predicted, maintenance can be carried out in advance, and downtime can be reduced.

2. Artificial intelligence technology: Artificial intelligence technology is the key to realize intelligent manufacturing. Through the introduction of artificial intelligence technologies such as machine learning and deep learning, the automation and intelligence of the production process can be realized. For example, through image recognition technology, product quality can be automatically detected, improving detection efficiency and accuracy.

Intelligent product

Intelligent products refer to the introduction of intelligent technology in the process of product design and manufacturing, so that the product has the functions of perception, analysis, decision-making and execution, and improve the added value and competitiveness of the product.

Taking smart cars as an example, in recent years, major breakthroughs have been made in autonomous driving technology. According to a report by market research firm IHS Markit, the global market for autonomous vehicles will reach $60 billion by 2030. The development of intelligent vehicles not only puts forward new requirements for automobile manufacturing enterprises, but also provides new application scenarios and market space for the machinery industry.

1. Perception technology: Perception technology is the core of intelligent products. By embedding sensors and communication modules into the product, the product has the ability to sense changes in the environment. For example, through the temperature sensor, the temperature change of the product can be monitored in real time to ensure that the product works in a suitable environment.

2. Analytical technology: Analytical technology is the key to realizing smart products. By introducing big data, cloud computing, etc. into the product, the product has the ability of data processing and analysis. For example, by analyzing the user's operating habits, smart products can automatically adjust the working mode and improve user satisfaction.

3. Decision technology: Decision technology is the core of intelligent products. By introducing artificial intelligence technology into the product, the product has the ability to automatically make decisions and execute. For example, the smart washing machine can automatically select the appropriate washing program and detergent according to the material and stain of the clothing.

Smart factory

Smart factory refers to the automation, digitization and intelligence of the production process through the introduction of advanced information technology, automation technology and artificial intelligence technology. Smart factories can improve production efficiency, reduce production costs, and improve product quality, which is an important direction of modern industrial development.

According to a report by the Fraunhofer Institute in Germany, the global smart factory market will reach 220 billion US dollars by 2025. The development of smart factories will promote profound changes in the production mode of the machinery industry, improve production efficiency and product quality, and reduce resource consumption and environmental pollution.

1. Information system: Information system is the basis for the realization of smart factories. By collecting, sorting and analyzing various data in the production process, the transparency, traceability and optimizability of the production process can be realized. For example, through data acquisition and analysis, equipment status can be monitored in real time, equipment failures can be predicted, maintenance can be carried out in advance, and downtime can be reduced.

2. Automation technology: Automation technology is the key to realizing smart factories. Through the introduction of automation equipment such as robots and sensors, the production process is automated and intelligent. For example, by automating production lines, production efficiency can be greatly improved and labor costs reduced.

3. Artificial Intelligence technology: Artificial intelligence technology is the core of the realization of smart factories. Through the introduction of artificial intelligence technologies such as machine learning and deep learning, the automation and intelligence of the production process can be realized. For example, through image recognition technology, product quality can be automatically detected, improving detection efficiency and accuracy.

New business model

The new business model refers to the enterprise in the process of digital intelligent transformation, through the innovation of business models and service models, expand business areas, improve profitability. New business models can help enterprises cope with market changes and improve their competitiveness.

Taking product service as an example, enterprises can improve the added value of products by providing intelligent products and services. According to Accenture research, by 2025, the global product service market will reach $3.7 trillion. The promotion of product service will promote the transformation of machinery industry enterprises from traditional equipment manufacturers to integrated solution providers.

1. Value-added services: Through the provision of value-added services, such as repair, maintenance, updates and upgrades, improve customer satisfaction and product added value. For example, car manufacturers can improve their customers' driving experience and safety by offering connected vehicle services.

2. Sharing economy: Through the introduction of sharing economy model, such as sharing equipment, sharing capacity, etc., to reduce enterprise operating costs and improve resource utilization efficiency. For example, machinery manufacturers can rent idle equipment to other enterprises through a shared platform to improve equipment utilization.

3. Data business: Provide decision support for enterprises by analyzing the collected data, such as market prediction and product optimization. For example, by analyzing user habits, home appliance manufacturers can optimize product design and improve product competitiveness.

In short, the digital intelligent transformation of the machinery industry is a systematic project, which requires enterprises to carry out comprehensive innovation and upgrading in many aspects such as intelligent manufacturing, intelligent products, intelligent factories and new business models. Only in this way, enterprises in the fierce market competition in an invincible position.

Second, what are the specific implementation steps of the digital intelligent transformation of the machinery industry?

The specific implementation steps of the digital intelligent transformation of the machinery industry can be divided into the following stages:

1. Top-level design and planning

In the early stage of digital transformation, enterprises need to develop a clear transformation strategy and objectives, conduct in-depth analysis of the existing business, organization, process and technology, and clarify the focus and difficulties of the transformation. At the same time, enterprises need to establish cross-functional transformation teams to ensure communication and collaboration in the transformation process.

2. Infrastructure upgrade

Digital transformation requires strong infrastructure support. Enterprises need to upgrade existing hardware equipment, networks and information systems to improve data collection, transmission and processing capabilities. This includes the introduction of advanced technologies such as the industrial Internet, the Internet of Things, cloud computing and big data to provide the foundation for the intelligent transformation of enterprises.

3. Data integration and governance

Data is the core of digital intelligence transformation. Enterprises need to establish a unified data governance framework to achieve data standardization, normalization, and security. At the same time, enterprises need to integrate existing data, eliminate data silos, and realize real-time data sharing and analysis.

4. Business process optimization and innovation

In the process of digital transformation, enterprises need to optimize and innovate existing business processes. This includes the introduction of advanced technologies such as smart manufacturing, smart products and smart factories to automate, intelligentize and digitize production processes. At the same time, enterprises need to explore new business models, such as product servitization, shared manufacturing and service-oriented manufacturing, to maximize value.

5. Organizational and talent transformation

The transformation of digital intelligence also puts forward new requirements for enterprise organization and talents. Enterprises need to establish a flat and flexible organizational structure to improve the response speed and innovation ability of the organization. At the same time, enterprises need to cultivate talents with digital skills to improve employees' understanding and application of new technologies.

6. Continuous optimization and innovation

The transformation of digital intelligence is an ongoing process. In the process of transformation, enterprises need to continuously optimize and innovate the existing solutions to adapt to the changes in the external environment and the upgrading of internal demands. Companies need to establish a culture of continuous improvement and encourage employees to actively participate in innovation and improvement in the transformation process.

In short, the transformation of the digital intelligence of the machinery industry is a systematic project, which requires enterprises to carry out in-depth changes in many aspects such as strategy, technology, business and talent. Through the implementation of the above six steps, enterprises can gradually achieve the goal of digital intelligent transformation, improve competitiveness, and achieve sustainable development.

What is a smart factory? What is its role in the machinery industry?

Smart factory is the use of a variety of modern technologies to achieve factory office, management and production automation, to strengthen and standardize enterprise management, reduce work errors, plug various loopholes, improve work efficiency, safe production, provide decision-making reference, strengthen external contacts, expand the international market purposes. The role of smart factories in the machinery industry mainly includes the following aspects:

1. Improve production efficiency: Smart factories use automated production lines, intelligent logistics systems and intelligent production management systems and other technologies to achieve a high degree of automation and optimization of the production process, so as to improve production efficiency and product quality.

2. Reduce production costs: Smart factories can reduce labor costs and waste in the production process by realizing the automation and intelligence of the production process.

3. Achieve customized production: Smart factories can quickly respond to the individual needs of customers through digital design and production technology to achieve customized production and meet the diversified needs of the market.

4. Optimize supply chain management: Smart factories can achieve real-time tracking and management of raw materials, components and products through the Internet of Things technology, improving the efficiency and transparency of the supply chain.

5. Improve product quality: Smart factories can improve product quality and stability through real-time monitoring and control of the production process, reduce product defects and repair rates.

6. Promote innovation: The development of smart factories has promoted the application and innovation of new technologies, and promoted the technological upgrading and industrial transformation of the machinery industry.

7. Enhance the competitiveness of enterprises: Smart factories can improve the production efficiency, product quality and supply chain management level of enterprises, and enhance the competitiveness of enterprises in the market.

In short, smart factory is an important direction of the intelligent transformation of the machinery industry, it through the introduction of advanced technology and management concepts, to achieve the intelligent and optimized production process, improve production efficiency, reduce costs, improve product quality, and promote the innovation and development of the industry.

Fourth, what is the impact of the development of intelligent manufacturing and intelligent products on the traditional machinery industry production mode?

The development of intelligent manufacturing and intelligent products has had a profound impact on the traditional machinery industry production mode, mainly including the following aspects:

1. Improvement of production efficiency: Intelligent manufacturing technology can realize the automation, intelligence and optimization of the production process, so as to improve production efficiency and reduce production costs. Smart devices and robots can replace human workers to complete repetitive and precision tasks, reducing labor costs and human error.

2. Customized production: The development of intelligent manufacturing and intelligent products makes customized production possible. Through digital design and production technology, enterprises can quickly respond to the individual needs of customers, achieve small-batch, multi-variety production mode, and meet the diversified needs of the market.

3. Improvement of product quality: Intelligent manufacturing technology can realize real-time monitoring and control of the production process to improve product quality and stability. Intelligent products have the characteristics of intelligence, interconnection and autonomy, and can provide better user experience and performance.

4. Optimization of the supply chain: The development of smart manufacturing and smart products has promoted the digitization and intelligence of the supply chain. Enterprises can achieve real-time tracking and management of raw materials, components and products through iot technology, improving the efficiency and transparency of the supply chain.

5. Innovative business models: The development of smart manufacturing and smart products has brought new business models and value-added service opportunities for enterprises. For example, enterprises can provide innovative business models such as remote maintenance, leasing services, on-demand manufacturing, and so on, to realize the transformation from product sales to service providers.

6. Data-driven decision-making: Smart manufacturing and smart products generate a large amount of data, and through big data analysis and artificial intelligence technology, enterprises can gain valuable insights to optimize production planning, quality control and product development to achieve data-driven decision-making.

In short, the development of intelligent manufacturing and intelligent products has changed the production mode of the traditional machinery industry, promoted the digital, intelligent and customized transformation of the industry, improved production efficiency, product quality and supply chain management level, and brought innovative business models and competitive advantages to enterprises.

To sum up, the digital intelligent transformation of the machinery industry involves multi-dimensional upgrading, among which the key steps include: first, the implementation of intelligent manufacturing technology transformation, through the integration of AI algorithms, Internet of things and big data analysis to achieve real-time monitoring and optimization of the production process; Secondly, develop intelligent products to improve self-diagnosis, remote control and personalized service capabilities with embedded systems and interconnection functions; In addition, the construction of smart factories, integration of automated production lines, flexible manufacturing systems and digital supply chain management, to achieve efficient allocation of resources and customized production. This series of initiatives not only innovates the traditional machinery industry production mode, so that it develops in a flexible, efficient and sustainable direction, but also gives birth to a new business model, such as service-oriented manufacturing, on-demand production, etc., and promotes the entire industry in the green and intelligent road continuous breakthrough and innovation.