Project Background:

Shen Shi Intelligence Technology Co., Ltd. is a high-tech enterprise specializing in the R&D, manufacturing, and sales of industrial sensors. Since its inception, the company has been committed to empowering intelligent manufacturing and driving cost reduction and efficiency gains, guided by the core values of “Innovation, Rigor, Sharing, and Win-Win.” Focusing on the development and production of high-end industrial sensors, Shen Shi Intelligence aspires to become a world-class industrial sensor company.

All of the company’s mass-produced products have successfully broken foreign monopolies and established Shen Shi as a leading domestic brand. Moreover, mature product lines—such as those based on line laser technology—have achieved world-leading performance in certain parameters, gradually setting new industry benchmarks.

To date, Shen Shi Intelligence has served thousands of customers across leading enterprises in sectors including consumer electronics, automotive, photovoltaics, and semiconductors.

The company’s journey of continuous self-evolution never stops. Always aligned with cutting-edge manufacturing processes and addressing pain points in complex application scenarios, Shen Shi Intelligence consistently delivers more reliable products, more stable quality, and faster response times—contributing its strength to the transformation and upgrading of diverse industries.

Project Objectives:

Through the implementation of the SIPM/PLM project, the following goals were achieved:

•  Standardize R&D processes, strengthen management of inputs, outputs, reviews, and related documentation to ensure traceability and auditability throughout the R&D lifecycle, thereby enhancing overall R&D project management capabilities.  

•  Establish a clear product portfolio structure, centering on products to unify and interlink technical documents, drawings, and related data in a structured manner.  

•  Implement an enterprise-tailored coding system to uniformly encode components, technical documents, and other design assets.  

•  Centralize management of engineering documents and drawings, improving data completeness, validity, and overall product data governance.  

•  Integrate PLM with design software to ensure consistency between design drawings and associated data.  

•  Streamline enterprise information flow by integrating PLM-managed materials and BOMs with the ERP system.  

•  Create a centralized requirement pool, linking requirements directly to R&D projects to enable bidirectional traceability and retrieval.  

•  Establish a problem knowledge base to manage issues from identification through resolution in a closed-loop process, archiving them as valuable organizational assets.

Business Landscape Overview:

1. Project Management

•  Project Categorization: Based on current business needs, projects are systematically classified by product line and project type, enabling tailored R&D workflows.

•  Process Standardization: Leveraging SIPM/PLM’s project and workflow management features, R&D processes are standardized using predefined project templates. Deliverables are controlled through formal review and approval workflows, ensuring process controllability and completeness of outputs.  

•  Project Dashboards: Real-time monitoring of active projects, tasks, and team assignments, with customizable views for tracking progress and completion status.

•  Project Analytics: Visual dashboards provide intuitive insights into project execution status, schedule adherence, workload variance, and timeline deviations across all projects.

2. Product Management

•  Product Classification: System-level product categories are defined by product type and series, embedded into PLM to form a unified product data management platform.  

•  Component Management: Components are assigned codes according to a unified rule set, with automatic generation of categorized views by component type.

•  Coding Management: The PLM system enforces consistent, custom-defined coding rules for all data objects, eliminating duplicate codes and accelerating code assignment.

•  BOM Management: BOMs serve as the central link in a systematic document management model, enabling orderly product data organization and significantly enhancing data sharing among engineers.

3. Centralized Document Management

Engineering documents are logically categorized by discipline. Visibility and editing permissions are controlled based on document categories, types, and scope. 

4. CAD Software Integration

•  As the primary design source, CAD tools are integrated via interfaces to automatically generate accurate BOMs—eliminating manual re-entry and reducing errors.

• Structural design software interfaces synchronize components, BOMs, and drawings as an integrated unit. Changes to drawings automatically trigger updates to associated BOMs and parts, minimizing redundant work.

5. Requirements Management

•  Requirements gathered from marketing, sales, and technical teams are consolidated, reviewed, and either archived or converted into R&D initiatives.

•  Bidirectional traceability allows users to quickly retrieve all pre-research or approved projects linked to a specific requirement—or trace back from any project to its originating requirements.

6. Issue Management

•  Issues identified during product design and development are logged, tracked through resolution, and archived to build a corporate knowledge base.

• Enables quick retrieval of all pre-research or approved projects associated with each requirement, or traceability from any project back to its originating requirements.

7. ERP Integration

Upon completion of product design in PLM, materials and BOMs are seamlessly transferred to ERP with a single click—eliminating redundant data entry and ensuring consistency between the two systems.

Summary:

Through this PLM implementation, Shen Shi Intelligence has significantly elevated its R&D project management capabilities and achieved standardized product development processes. By implementing integrated management of all product-related information, the company now centrally manages all documentation and drawings online throughout the entire R&D lifecycle. This enables design engineers to rapidly access data, dramatically improving their productivity. Furthermore, effective governance of R&D data and workflows has enhanced the company’s digital manufacturing maturity, ultimately driving greater economic value and competitive advantage.