Project background:

An auto parts company is a manufacturer specializing in the production of core components such as automotive engines, gearboxes, and chassis. It has multiple production bases and supply chain partners, and its products are sold to many countries and regions around the world. The company is facing challenges such as increasingly fierce market competition, increasingly diversified customer needs, and increasing product quality requirements. It needs to improve production efficiency, reduce costs, optimize resource allocation, and improve customer satisfaction.

Customer pain points:

The company has the following main problems in the production process:

Production data is scattered in different systems and equipment, and there is a lack of unified management and analysis, which makes the production process opaque and uncontrollable, and it is difficult to find and solve problems in time.

The production line lacks intelligent scheduling and optimization, and there are phenomena such as idle equipment, material backlog, and manpower waste, which affect production efficiency and quality.

The lack of real-time monitoring and early warning in the production process makes it difficult to detect and prevent risks such as failures, abnormalities, and potential safety hazards in time, increasing maintenance costs and downtime losses.

The lack of effective use of production data makes it difficult to adjust product design, production planning, inventory management and other dynamic adjustments according to customer needs and market changes, reducing market responsiveness and competitiveness.

Project purpose:

The company hopes to achieve the following goals by introducing the Industrial Internet platform:

Realize the collection, aggregation, analysis and display of production data, and improve the visualization, traceability and manageability of the production process.

Realize intelligent scheduling and optimization of production lines, improve equipment utilization, material turnover, personnel efficiency and production quality.

Realize real-time monitoring and early warning of the production process, improve fault diagnosis, exception handling, security and other capabilities.

Realize in-depth mining and application of production data, improve product design, production planning, inventory management and other capabilities, and enhance market responsiveness and competitiveness.

Research object:

The research objects of the project include the following categories:

The top management of the enterprise understands its strategic objectives, business needs and expected results.

The production manager of the enterprise understands its production process, equipment, data sources and management methods.

Technical staff of the enterprise who understand its information systems, network architecture, data interfaces, and security requirements.

The company's supply chain partners to understand their order information, logistics information, quality information, etc.

The number of respondents depends on the size and complexity of the project, generally in10-20People around.

Project Content:

The main contents of the project include the following aspects:

Research and analysis: collect and analyze the production data, business needs, existing problems and improvement goals of the enterprise through interviews, questionnaires, observations, etc., and form research reports and solution suggestions.

Platform construction: according to the enterprise's network environment and security requirements, select the appropriate industrial Internet platform products, platform deployment, configuration and testing, to achieve the platform and the enterprise's information system and production equipment docking and data interaction.

Application development: according to the business needs of the enterprise, select or customize the appropriate industrial Internet applications, application development, testing and online, to achieve production data visualization, intelligent scheduling, real-time monitoring, in-depth mining and other functions.

Project acceptance: by comparing the production data, efficiency indicators, quality indicators, etc. before and after the project, evaluate the implementation effect of the project, carry out project acceptance and delivery.

Project Value:

The implementation of the project has brought the following values to the enterprise:

Improve production efficiency and reduce costs. Through the intelligent scheduling and optimization of the industrial Internet platform, the enterprise has achieved improved equipment utilization.10%Improved material turnover rate15%Improvement of personnel efficiency20%Production quality improvement5%and other effects, saving human, material and financial resources, reducing production costs.

Improve production safety and reduce risk. Through real-time monitoring and early warning of the industrial Internet platform, the enterprise has achieved a reduction in troubleshooting time.50%Shortened exception handling time30%Reduce the number of safety accidents80%and other effects, reducing maintenance costs and downtime losses, and improving production safety.

Improved market response and enhanced competitiveness. Through the deep mining and application of the industrial Internet platform, the enterprise has achieved a shortened product design cycle.40%Improved accuracy of production planning30%Improved efficiency of inventory management20%It enhances the ability to innovate and adjust production according to customer needs and market changes, and improves market response speed and customer satisfaction.