Digital Transformation of Manufacturing Enterprises

Application Scenario

Digital Transformation of Manufacturing Enterprises

Facing the global industrial chain restructuring under digital transformation, traditional manufacturing, which relies on manual labor and extensive management, struggles to integrate into the modern ecosystem. With the maturity of technologies such as big data, artificial intelligence, and digital twins, digital transformation has expanded from isolated applications to full-chain reconstruction

Industry Challenges

Decision-making Level
High investment in information systems, yet unable to gain timely and effective insights into overall business operations.Massive business reports that fail to effectively support decision-making.Inability to guide decisions through key enterprise performance indicators.
Expand all
Business Operations Management Level
Significant time and effort spent on data collection and report preparation.Lack of unified operational definitions and metric standards.Inconsistent management standards across departments, leading to overlapping and duplicated operational information.Reporting requirements to higher management are inflexible and slow to respond; data collection from departments is often untimely or inaccurate.
Expand all
IT Service Support Level
Absence of a unified platform to meet the diverse data application needs of decision-making, management, and operations layers.Frequent and complex changes in operational management requirements place IT service teams under strain.High variety, quantity, inconsistent definitions, and poor quality of operational application requirements result in long development cycles and low timeliness;
Expand all

Our Methodology

Data Integration and Processing

Enable comprehensive data integration, supporting cross-department and multi-system data sharing, IoT data source connectivity, and SAP integration. Provide extensive components for data cleansing and transformation to facilitate data migration and processing. Offer a one-stop visual data development platform covering task debugging, development, and operations, with both offline and real-time data development modes, along with multiple computing and processing engine services for developers.

Building Data Models

 Establish a product lifecycle traceability system based on a multidimensional relationship network, connecting data from the product end, supply end, and client end to break down information silos and enable dynamic response and multi-dimensional quality traceability.

Data Quality Control

Automatically generate configurable data quality inspection scripts, combine with data issue monitoring and alerting to identify root causes, formulate solutions, and provide quality assessment and analysis with graphical displays of rectification results.

Data Asset and Security Management

Implement multi-dimensional, fine-grained data security controls on a unified platform through methods such as tiered authorization, row-level data permissions, functional module permissions, custom security rule configuration, and whitelist/blacklist management.

Digital Twin Operational Model Construction: Work Mode

Enable end-to-end intelligent operations scheduling. For emergencies, the system automatically generates work orders based on predefined rules, assigns maintenance personnel intelligently, and provides on-site or remote repair guidance.

Digital Twin Operational Model Construction: Visitor Mode

Leveraging digital twin technology and a 3D visualization platform, the smart factory’s full-scene model is reconstructed with high precision. By integrating macro, meso, and micro-level data metrics within the 3D environment, tailored visiting experiences are provided for different guests. Customized routes allow visitors to efficiently access relevant information and gain comprehensive insights.

Digital Twin Operational Model Construction: Emergency Mode

During enterprise safety incidents, the digital twin platform swiftly switches to emergency mode, automatically integrating live video feeds, contingency plans, and 3D scene models. This provides command personnel with comprehensive, intuitive situational awareness, enabling rapid emergency response initiation and closed-loop management.

Consult Now Free trial

Holistic Planning

Implementation Value

Financial Analysis Reports

Financial analysis and decision-making are built on a data application platform, forming a financial analysis domain.

Financial analysis and decision-making are built on a data application platform, forming a financial analysis domain.

Enterprise Risk Management

Conduct risk management analysis and visual decision-making for manufacturing enterprises across key areas such as finance, equity and ownership, income distribution, investment projects.

Conduct risk management analysis and visual decision-making for manufacturing enterprises across key areas such as finance, equity and ownership, income distribution, investment projects.

Equipment Failure Prediction

By analyzing vast historical operational data from wind turbines, an intelligent monitoring and early warning system for anomalies and failure prediction models is established.

By analyzing vast historical operational data from wind turbines, an intelligent monitoring and early warning system for anomalies and failure prediction models is established.

Process Parameter Optimization

Data mining models are applied to production processes, such as analyzing and optimizing mixing operations.

Data mining models are applied to production processes, such as analyzing and optimizing mixing operations.

Begin Your Data Intelligence Journey Today

Consultation Free Trial