Others
Requirements Analysis
♦ R&D management practices are coarse and lack support from structured processes. Heavy reliance on "experience-driven + Excel-based" management has led to the absence of standardized procedures and systematic control over core R&D activities—such as experimental records, formula adjustments, and process parameters—resulting in uncontrolled processes, irreproducible outcomes, and difficulty in capturing and retaining knowledge.
♦ Formula and process data are unstructured and difficult to reuse or optimize. Critical data such as formulations and raw material ratios exist in paper form or as scattered electronic documents, lacking unified coding and relational linkages. This prevents the establishment of a searchable, comparable, and iterative formula knowledge base, thereby hindering rapid product improvement and innovation.
♦ Lack of project cost and performance management results in a disconnect between R&D project inputs and outputs. The absence of real-time cost aggregation and performance evaluation mechanisms makes it difficult to support science-based, ROI-driven decision-making.
♦ Low cross-departmental collaboration efficiency and misalignment between R&D, production, and sales result from information silos among R&D, manufacturing, procurement, and quality departments, leading to long new product commercialization cycles and high pilot production failure rates.
♦ Weak compliance and batch traceability capabilities: In the face of increasingly stringent regulatory requirements—such as environmental regulations (REACH, RoHS), safety standards (GHS), and food/personal care product regulations (FDA, EC 1223/2009)—key information including raw material composition, safety data, and test reports lacks centralized management. This makes it difficult to quickly generate compliance documentation, and prevents full traceability of product batches from raw materials to finished goods.
Structural Design Management
SIPM/PLM offers leading CAD integration capabilities, supporting the integration of ultra-complex 3D assemblies and ensuring bidirectional data exchange between design tools and the PLM system, thereby enhancing design efficiency and data consistency. Through professional BOM lifecycle management, BOM changes are automatically synchronized to process planning, production, procurement, and the supply chain, effectively addressing the industry's market characteristics of "high product variety, rapid iteration, and strong customization."
- Supports integration with mainstream CAD design software, enabling seamless connectivity of design data.
- Design a multi-scheme parallel management system that supports the simultaneous creation and management of multiple conceptual design schemes within PLM. Each scheme is independently versioned with a clear structure, ensuring files remain organized and preventing version confusion. Professional BOM lifecycle management ensures that Bills of Materials can be traced, compared, and tracked across all stages—down to part-level changes.
- Any BOM revision is automatically synchronized from the design department to departments like engineering, production, procurement, and finance, preventing material obsolescence and production line downtime caused by design changes.
- An enterprise-level unified coding system eliminates "one item with multiple codes, or one code assigned to multiple items," optimizes inventory structure, and reduces capital tied up in materials due to logistical and transportation companies' operational inefficiencies.
- Personal work visualization kanban board to enhance the organizational clarity and execution efficiency of R&D teams working in a multi-project, parallel environment.
- Refine standardized solutions to encourage companies to establish modular design standards, develop a library of common components, and implement design reuse mechanisms, continuously enhancing the standardization rate of parts and the platform’s reusability.
Electronic Design Management
SIPM/PLM provides comprehensive support for the entire electronic design process management, deeply integrates with mainstream EDA design tools, and enables bidirectional data integration between schematics, PCB, and the PLM system, ensuring automatic synchronization of design data, unified version control, and managed change processes. The system supports multi-attribute management, intelligent matching, and preferred component selection for electronic parts, combined with enterprise preferred component library strategies, to enhance design quality and supply chain resilience from the outset.
- Deep integration with mainstream EDA tools: Automatically extracts BOM information, component lists, and other design data, eliminating manual entry errors and ensuring consistency between design and data.
- Differentiated attribute management for electronic components: Supports defining independent attribute templates based on component types (e.g., resistors, capacitors, ICs, connectors), enabling a "one-type-one-template" approach.
- Management of alternative and successor components: Structured maintenance of substitution relationships, lifecycle status, and certification equivalency. When primary components face shortages, obsolescence, or supply risks, compliant alternatives ensure continuity in design and production.
- Preferred component review during selection: Enables design engineers to initiate preferred-item reviews for candidate components during the selection phase. Based on component preference levels and application scenarios, the system provides prioritized recommendations, guiding engineers toward high-reusability, high-reliability, and cost-effective selections.
- End-to-end BOM lifecycle collaboration: Electronic design BOM changes are automatically synchronized to process engineering, manufacturing, procurement, quality, and other departments, enabling full traceability and closed-loop management to prevent incorrect assembly, material obsolescence, or production line stoppages.
Software Development Management
SIPM/PLM is deeply aligned with the intelligent development trends in the industry, effectively managing the entire software development lifecycle from requirements, design, and development to testing and release.By implementing standardized processes and a modular architecture, SIPM/PLM ensures that software development adheres to industry-specific functional safety and quality standards such as ASPICE and ISO 26262, while also fostering the accumulation of software assets, maximizing module reuse, and supporting agile iterative development.
- Full lifecycle management of all elements: Comprehensive lifecycle management for all key artifacts—including algorithm documentation, requirement specifications, test cases, and closed-loop bug records—supporting version traceability and compliance auditing.
- End-to-end data consistency: Ensures consistency of data flow across all stages, from requirements management and functional design to coding development and software testing.
- Seamless integration of end-to-end data flow: Achieves seamless connection between upstream and downstream processes, guaranteeing data consistency throughout requirements management, functional design, coding development, and software testing.
- Integrated hardware-software collaboration: Enables comprehensive collaboration between software development, electronic design, and mechanical design, ensuring integrated hardware-software delivery and accelerating the engineering implementation of innovative products.
- Agile development support: Supports agile project management methodologies, enabling rapid iteration and responsiveness to evolving customer requirements.
Process Management
SIPM/PLM's process management solution enables integrated management of product design and process planning. It allows seamless viewing of design content and timely transmission of design changes. By collaborating with SIPM/QIS, it automatically receives quality feedback information, ensuring the effective implementation of a comprehensive quality management system. Furthermore, the solution can extend from process management to the management of equipment, fixtures, molds, and NC programs, featuring process model reconstruction capabilities that fully meet the process data requirements of various ERP and MES systems.
- Achieving integrated management of product and process design, enabling seamless access to design content and timely communication of design changes, while providing ERP with comprehensive foundational data. Additionally, collaboration with SIPM/QIS allows for the automatic reception of process quality feedback information.
- Providing a new, intelligent, structured, and scalable process solution based on a unified BOM, enabling seamless data integration across the entire workflow—from design to manufacturing—and ensuring the accuracy of process documentation.
- Supports establishing a standardized process library within the PLM system, covering multiple domains such as machining, welding, and assembly. Enables structured description of process symbols to ensure the universality and standardization of process documentation, and facilitates easy access to resources such as equipment, tooling, workholding fixtures, and auxiliary materials.
- By referencing the standard process library, users can perform rapid process planning and directly output document cards through templates, significantly improving work efficiency, reducing repetitive tasks, and shortening process preparation cycles.
- Enterprises can directly access the standard process library from the manufacturing BOM to perform process design, automatically generating process sheets. This approach enables standardized process management, ultimately boosting overall production efficiency and product quality.
- It can be extended from equipment and tooling to include equipment, tooling, mold management, as well as NC code management, and features the capability to reconstruct process models, fully meeting the diverse ERP/MES requirements for process information.
- It provides the possibility for unified, project-based management of technical tasks, ensuring the implementation of a comprehensive quality management system.
Project Management
Project management features tiered planning and centralized control, making the management of large, complex projects simple and manageable. It dynamically allocates access permissions to core resources such as design data and technical documents based on project tasks, enabling flexible and effective control over data security and sharing.At the same time, it supports multi-dimensional real-time monitoring of ongoing projects, helping managers precisely control project progress, cost, and quality, and ensuring high-quality and efficient delivery of R&D projects that are highly complex, long-cycle, and heavily customized.
- Hierarchical planning and centralized control of project management make the management of large, complex equipment projects simple and controllable.
- Provides forward and backward scheduling of project plans. When encountering unexpected events such as delays in core components or changes in customer requirements, the system dynamically optimizes subsequent paths to minimize impact on the overall project and ensure milestone achievement rates.
- Based on project tasks and collaboration roles, temporarily and precisely assign access permissions to project data—meeting industry security and compliance requirements while enabling efficient cross-enterprise and cross-departmental data sharing, effectively resolving the dual challenges of "data silos" and "security leaks."
- Supports strong association management between project tasks and deliverables, ensuring that outputs at each R&D stage are complete, traceable, and compliant with industry standards.
- Multi-dimensional visual project monitoring dashboards enable real-time visibility into project progress and support rapid decision-making and intervention.
- Supports multi-dimensional performance statistics based on man-hours, task completion rates, and other metrics, providing quantitative data for managers to assign tasks and evaluate employee performance, thereby motivating teams to focus on value delivery.
- Real-time aggregation and early warning of detailed project costs ensure that expenses for high-investment R&D projects remain within the budget limits.
Personnel Knowledge Management
SIPM/PLM features an integrated performance management mechanism for projects and tasks, along with visualized load and performance statistics. Managers can promptly and easily query the actual workload and performance of employees in each department according to the organizational structure.Meanwhile, SIPM/PLM provides fine-grained knowledge access control tailored to the characteristics of R&D projects—such as multi-role involvement and strong collaboration—and supports dynamically assigning temporary permissions based on operational needs, thereby ensuring a high degree of both security and flexibility in permission management.
- Dual-driven by standardized knowledge base management and project-hour-based performance management, reducing redundant design efforts and inefficient communication.
- Features a performance management mechanism deeply integrated with projects and tasks, along with visualized workload and performance statistics. Managers can promptly and conveniently query the actual workload and performance of personnel across departments by organizational structure, enabling precise human resource allocation and dynamic workload balancing.
- Leverages quantified performance data on effort hours and delivery quality to support customized training programs and career development pathways, fostering a stable and high-performing core technical team.
- Helps enterprises establish mechanisms for knowledge asset accumulation and reuse, transforming design experience and solutions scattered across individual computers into enterprise-level, searchable, interlinked, and iterative structured knowledge—accelerating new employee onboarding and intergenerational technology transfer.
- Provides fine-grained control over work and knowledge-sharing permissions, allowing temporary access rights to be dynamically assigned based on operational needs, ensuring both strict security control and business flexibility.
Sample Testing Management
The Prototype Test Management (SIPM/LIMS), built on SIPM Software's proprietary no-code platform, shares the same modeling tools, underlying architecture, and database as SIPM/PLM, enabling deep, integrated convergence. It establishes a unified testing data and business management platform that meets the requirements of laboratory management systems.
- Enables full digitalization of the entire process—from commissioning requests, sample registration, intelligent task assignment, raw data entry, to automatic report generation—ensuring compliance with regulatory requirements and guaranteeing test traceability and compliance.
- Provides structured and dynamic management of core laboratory elements, including personnel qualifications, equipment calibration, sample tracking, testing methods, and environmental conditions.
- Supports online business requests, intelligent task assignment, visualized testing processes, automated data collection, and refined result analysis, significantly improving testing efficiency and data accuracy.
- Real-time integration of test data with PLM master data such as product design, BOM, engineering changes, and quality information enables rapid feedback of quality issues to R&D and manufacturing teams, driving closed-loop continuous improvement.
Prototype Manufacturing Management
Prototype Manufacturing Management (SIPM/PMS) focuses on enabling dynamic, end-to-end management of the customer's prototype development process—from requirement analysis, trial preparation, and trial production to prototype delivery. It covers design, BOM, process planning, materials, and production trial preparation and planning, facilitating efficient cross-departmental collaboration. Through real-time monitoring and data-driven decision support, the system ensures that the prototype manufacturing process is controllable, traceable, and significantly improves overall work efficiency and productivity.
- Centrally manage trial production tasks, material preparation, process routes, and delivery milestones to ensure on-time, high-quality prototype delivery.
- Proactive resource alerts: Automatically identify gaps in material inventory and manufacturing resources to prevent production stoppages due to missing parts and reduce costs from duplicate or over-purchasing.
- Full traceability of trial process data, material usage, and quality issues enables rapid root cause analysis and continuous improvement.
- Digitalized collection, analysis, and early warning of key data from new product trials unlock data value and support process optimization.
- Real-time visualization of core metrics such as project progress, cost distribution, shipment volume, and issue statistics, with drill-down capabilities and cross-department collaboration support to enhance decision-making efficiency.
AI Intelligent Applications
By deeply integrating AI with PLM, static data assets are transformed into dynamic intelligent capabilities, accelerating R&D innovation, process optimization, and knowledge reuse.
- Intelligent Knowledge Engine: Based on enterprise R&D outcomes, process documents, and experiential data, it builds a classified vector system to enable automatic knowledge organization, semantic search, and precise push.
- Content-Level Intelligent Search: Integrated with an AI engine, it supports full-text semantic search within the PLM system, enabling associative access and referencing of design documents, BOMs, change records, and other content at the granular level.
- Intelligent Process Generation: Uses AI to identify part machining features, automatically matches process rules, and generates optimal processing routes, improving both efficiency and consistency in process planning.
- Extensible AI Architecture: Supports integration with mainstream AI frameworks, allowing enterprises to train proprietary large models and deeply embed them into PLM for customized intelligent applications.
- Data-Driven Decision Making: AI automatically analyzes multi-dimensional data from projects, costs, quality, and more, assisting in budget optimization, risk, and resource allocation—driving management evolution from "experience-driven" to "intelligence-driven decision-making".
Industry Advantages
1 › Global leading MDA system modeling tool, enabling flexible and personalized system modeling.
Based on a Model-Driven Architecture (MDA), the low-code/no-code system construction platform enables direct mapping between business logic and system implementation. It supports continuous iteration as management capabilities evolve, allowing flexible and personalized system modeling while ensuring high stability.
2 › Integrated cross-disciplinary collaborative design management for mechanical, electrical, and software systems
The PLM platform centrally manages product data across multiple disciplines—including mechanical, electronic, software, and packaging—eliminating data silos between multi-disciplinary teams. It ensures consistency, integrity, and full lifecycle traceability of design data from system architecture down to component-level details, effectively supporting the integrated development of transportation and logistics equipment.
3 › Platform-based product configuration management helps enterprises transition from ETO to ATO.
Supports product module selection and customizable configuration rules, significantly lowering configuration complexity and enhancing business users’ efficiency in autonomous maintenance. Enables rapid response to the business demands of transportation and logistics equipment—high customization, frequent variants, and fast delivery—greatly shortens order fulfillment cycles, and drives enterprises to efficiently transform from Engineer-to-Order (ETO) to Assemble-to-Order (ATO) models.
4 › Unified Management of Testing and Inspection Data
Fully covers the six key elements of laboratory management—"personnel, equipment, materials, methods, environment, and measurement"—to build standardized testing processes and a unified data platform. Enables automatic assignment of test tasks, real-time collection of process data, structured entry of results, one-click report generation, and closed-loop feedback on issues. Ensures testing data is authentic, complete, compliant, and auditable, supporting product quality assurance and certification requirements.
5 › End-to-End Management of Prototype Trial Production
Covers the entire lifecycle of prototypes—from requirement initiation, trial production planning, BOM and process preparation, material readiness, production execution to delivery and acceptance—integrating collaboration across R&D, process engineering, procurement, and manufacturing departments. Enables visible trial plans, transparent resource status, and timely issue response, significantly improving prototype delivery efficiency and first-time success rate.
6 › Exceptional system stability, supporting high concurrency, large data volumes, and highly complex processes.
The server is built on a mature Java technology stack, offering cross-platform high availability and elastic scalability. It supports smooth operation of core business functions under long-term high loads, effectively handling scenarios with concurrent operations by multiple teams and high-traffic business peaks. Multi-node collaboration and parallel branching workflows can be configured via simple drag-and-drop, enabling rapid adaptation to evolving business needs. Through MDA-based modeling, the system allows flexible functional customization without modifying source code, balancing operational agility with long-term system stability.
7 › Supports group-level multi-organization deployment and global multi-language, multi-time-zone applications.
Supports group-wide unified deployment across multiple factories and R&D centers; language packs can be self-extended using standard templates, easily adapting to global localization needs; the client automatically identifies and dynamically displays the local time zone (including intelligent switching between daylight saving and standard time), ensuring consistent data, synchronized processes, and a uniform user experience for multinational teams on a single platform, supporting efficient global operations.
