Aerospace and Aviation
Requirements Analysis

♦   Difficulties in multi-facility and cross-regional collaboration: Aircraft model development involves prime manufacturers, research institutes, suppliers, and other entities, but the lack of a unified data platform results in delayed response and inefficiencies in collaborative design.

♦   Challenges in managing dynamic BOM evolution: From conceptual design to flight testing and final certification, the BOM undergoes frequent changes with distinct phase characteristics, making it difficult to ensure accurate end-to-end lifecycle traceability and version control.

♦   Low efficiency in design change closure: Change processes span multiple departments including design, process engineering, airworthiness, and procurement, relying on offline approvals and manual information transfer. This leads to information asynchrony, execution deviations, and severely impacts development schedules and product quality.

♦   Low levels of knowledge reuse and modularization: A large amount of proven solutions, typical structures, and problem-solving measures are scattered across project documents or individual expertise, failing to be captured as organizational knowledge assets, thus constraining efficiency in product variants and standardization progress.

♦   Strict requirements for airworthiness certification, quality systems, and confidentiality management demand full traceability and auditability of data throughout the lifecycle. However, existing systems suffer from data fragmentation, weak associations, and version chaos, making it difficult to meet stringent compliance requirements.

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 aerospace industry's market characteristics of "parallel development of multiple models, high-precision requirements, and long-cycle iteration."

  • Supports integration with mainstream CAD design software, enabling seamless connection of design data.
  • Parallel management of multiple design concepts: Allows simultaneous creation and management of multiple conceptual design schemes within PLM, with each scheme independently version-controlled and clearly structured, preventing scattered files and version confusion.
  • Professional BOM lifecycle management: BOMs can be traced back, compared, audited, and renumbered. BOM changes are automatically propagated from design to process, production, procurement, finance, and other departments, avoiding material obsolescence and production line downtime caused by design changes.
  • Enterprise-wide unified coding system: Eliminates "one item, multiple codes" and "one code, multiple items," optimizing inventory structure and reducing capital tied up due to material confusion in transportation and logistics enterprises.
  • Personal visualized work dashboard: Enhances work organization and execution efficiency for R&D personnel in multi-project parallel environments.
  • Comprehensive standardization solutions: Help enterprises establish modular design standards, common parts libraries, and design reuse mechanisms, continuously improving component commonality and platform reusability.
Electronic Design Management

SIPM/PLM provides comprehensive support for the entire electronic design process management, deeply integrating with mainstream EDA design tools to enable bidirectional data integration between schematics, PCB designs, and the PLM system. This ensures 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 materials, combined with enterprise-specific preferred parts library strategies, enhancing design quality and supply chain resilience from the very beginning of the design process.

  • Deep integration with mainstream EDA tools: Automatically extracts BOM information, component lists, and other 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 alternative solutions ensure continuity in design and production.
  • Enables design engineers to initiate preferred component reviews during the selection phase. Based on component preference levels and application scenarios, the system provides prioritized recommendations, guiding engineers toward selections with higher reusability, reliability, and lower cost.
  • End-to-end BOM lifecycle collaboration: Electronic design BOM changes are automatically synchronized to process engineering, manufacturing, procurement, quality, and other departments, achieving full closed-loop traceability and preventing incorrect assembly, inventory obsolescence, or production line stoppages.
Software Development Management

SIPM/PLM is deeply aligned with the intelligent development trends in the transportation and logistics sector, effectively managing the entire software development lifecycle from requirements, design, and development to testing and release. Through standardized processes and modular architecture, it ensures software development complies with industry functional safety and quality standards such as ASPICE and ISO 26262, promoting the accumulation of software assets, module reuse, and agile iteration.

  • Full-element lifecycle management: Comprehensive lifecycle management of all elements including algorithm documents, requirement specifications, test cases, and closed-loop bug records, supporting version traceability and compliance auditing.
  • End-to-end data consistency: Ensures data integrity and consistency across all stages, from requirements management and functional design to coding development and software testing.
  • Seamless integration of end-to-end data flow: Achieves tight integration between upstream and downstream processes, guaranteeing data consistency throughout requirements management, functional design, coding development, and software testing.
  • Integrated hardware-software collaboration: Enables comprehensive coordination between software development and electronic/structural design, ensuring integrated hardware-software delivery and accelerating the engineering implementation of innovative products.
  • Agile development support: Provides capabilities for agile project management, enabling rapid iteration and responsiveness to evolving customer requirements.
Process Management

The SIPM/PLM 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, while collaborating with SIPM/QIS to automatically receive quality feedback, ensuring the effective implementation of a comprehensive quality management system. Furthermore, the solution can extend from process management to the management of equipment, tooling, molds, and NC code, and features process model reconstruction capabilities, fully meeting the process data requirements of various ERP and MES systems.

  • Enables integrated management of product design and process planning, allowing seamless access to design content and timely transmission of design changes. Provides ERP with complete foundational data, and when integrated with SIPM/QIS, supports automatic reception of in-process quality feedback.
  • Offers a new generation of intelligent, structured, and scalable process solutions based on a unified BOM, supporting end-to-end data continuity from design to manufacturing and ensuring accurate and error-free process documentation.
  • Supports the creation of a standardized operation library within PLM, covering areas such as machining, welding, and assembly. Enables structured description of process symbols to ensure universality and standardization of process documents, and facilitates easy access to resources such as equipment, tooling, workstations, and consumables.
  • Enables rapid process design by referencing the standard operation library, with process cards automatically generated from templates, significantly improving work efficiency, reducing repetitive tasks, and shortening process preparation cycles.
  • Allows enterprises to directly apply the standard process library to process design on the manufacturing BOM and automatically generate process cards, achieving standardized process management and enhancing overall production efficiency and product quality.
  • Extends from equipment and tooling management to comprehensive management of molds and NC code, and features process model reconstruction capabilities, fully meeting the process data requirements of various ERP and MES systems.
  • Provides the foundation for unified, project-based management of technical activities, ensuring the effective implementation of a complete quality management system.
Project Management

Hierarchical planning and centralized control of project management make R&D project management simple and controllable. Permissions to core resources such as design data and technical documents are dynamically assigned based on project tasks, enabling flexible and effective control over data security and sharing. At the same time, multi-dimensional real-time monitoring of ongoing projects is supported, helping managers accurately track project progress, costs, and quality risks, ensuring high-quality and efficient delivery of complex, long-cycle, highly compliant, and multi-stakeholder aviation equipment projects.

  • Hierarchical project planning and centralized control make the management of large, complex equipment projects simple and controllable, aligning with the aerospace development model of "platform-based development + modular customization + project-based delivery."
  • Supports both forward and backward scheduling of project plans. When facing unexpected events such as delays in critical components or changes in customer requirements, the system dynamically optimizes subsequent paths to minimize impact on the overall project and ensure milestone achievement rates.
  • Temporarily and precisely assigns access permissions to project documents based on project tasks and collaboration roles, meeting industry security and compliance requirements while enabling efficient cross-enterprise and cross-departmental data sharing, achieving "controlled sharing and secure collaboration."
  • Enables strong association management between project tasks and deliverables, ensuring that outputs at each R&D phase are complete, traceable, and compliant with industry standards.
  • Provides multiple visual project monitoring dashboards for real-time visibility into project progress, enabling rapid decision-making and timely intervention.
  • Supports multi-dimensional performance statistics based on effort hours, task completion rates, etc., providing quantitative data for task assignment and employee performance evaluation, motivating teams to focus on value delivery.
  • Real-time aggregation and early warning of detailed project cost items ensure that high-investment R&D projects remain within budget limits.
Personnel Knowledge Management

SIPM/PLM features an integrated performance management mechanism aligned with projects and tasks, along with visualized workload and performance statistics. This enables managers to easily and promptly query the actual workload and performance of personnel across different departments by organizational structure. Meanwhile, the system provides military-grade knowledge and access control mechanisms, allowing dynamic assignment of temporary permissions based on job requirements, thereby greatly ensuring both the strictness and flexibility of permission management.

  • Dual-driven by standardized knowledge base management and performance management based on project man-hours, reducing redundant design and ineffective 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.
  • Supports customized training programs and career development path construction through quantified performance data on man-hours and deliverable quality, helping build a stable, 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, linkable, and updatable structured knowledge, accelerating new employee onboarding and intergenerational technology transfer.
  • Provides fine-grained control over work and knowledge-sharing permissions, with the ability to dynamically assign temporary access based on operational needs, ensuring both strict security and operational flexibility.
Sample Testing Management

Prototype testing management (SIPM/LIMS) is built upon SIPM Software's proprietary no-code platform, sharing the same modeling tools, underlying architecture, and database as SIPM/PLM. This enables deep, seamless integration, forming a unified testing data and business management platform that meets the requirements of laboratory management systems.

  • Enables full digitalization of the entire process—from委托 application, sample registration, intelligent task assignment, original record entry, to automatic report generation—ensuring compliance with regulatory requirements and guaranteeing test traceability and compliance.
  • Provides structured and dynamic management of key laboratory elements, including personnel qualifications, equipment calibration, sample tracking, testing methods, and environmental conditions.
  • Supports online business applications, intelligent task assignment, visualized testing processes, automated data collection, and refined result analysis, significantly improving testing efficiency and data accuracy.
  • Achieves real-time integration between test data and PLM master data such as product design, BOM, change management, and quality, enabling rapid feedback of quality issues to R&D and manufacturing for closed-loop 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, trial execution, to prototype delivery. It covers design, BOM, process planning, materials, and production preparation and planning, facilitating efficient collaboration across multiple departments. Through real-time monitoring and data-driven decision support, the system ensures that the prototype manufacturing process is controllable, traceable, and significantly improves overall operational efficiency and productivity.

  • Centrally manages trial production tasks, material preparation, process routes, and delivery milestones to ensure high-quality prototype delivery on schedule.
  • Provides early resource warnings by automatically identifying gaps in material inventory and manufacturing resources, preventing production stoppages due to missing parts and reducing costs from duplicate or over-purchasing.
  • Records all trial process data, material usage, and quality issues throughout the entire cycle, supporting rapid root cause analysis and continuous improvement.
  • Digitizes the collection, analysis, and early warning of key data from new product trials, unlocking data value to 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-departmental 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, andprecise push.
  • Content-level Intelligent Search: Integrates an AI engine to support full-text semantic search within the PLM system, enabling content-level cross-referencing and citation of design documents, BOMs, change records, and more.
  • Intelligent Process Generation: Uses AI to identify part machining features, automatically match process rules, and generate optimal machining routes, improving process design efficiency and consistency.
  • Extensible AI Architecture: Supports integration with mainstream AI frameworks, enabling enterprises to train proprietary large models and deeply integrate them with PLM for customized intelligent applications.
  • Data-Driven Decision Making: AI automatically analyzes multi-dimensional data from projects, costs, and quality, assisting in budget optimization,early warning, and resource scheduling, advancing management from "experience-driven" to "intelligent decision-making."
Industry Advantages

1 ›  Globally leading MDA (Model-Driven Architecture) modeling tool enabling flexible and customized system modeling.

Based on a low-code/no-code system development platform driven by Model-Driven Architecture (MDA), it directly maps business logic to system implementation. It supports continuous iteration as management capabilities evolve, ensuring high system stability while enabling flexible and personalized modeling.

2 ›  Integrated interdisciplinary collaborative design management for mechanical, electronic, software, and packaging.

The PLM platform centrally manages product data across disciplines such as mechanics, electronics, software, and packaging, eliminating data silos between different disciplines and ensuring consistency, completeness, and full lifecycle traceability of design data from system architecture to component details. This effectively supports integrated development in the aerospace industry.

3 ›  Platform-based product configuration management helps companies transition from ETO to ATO.

Supports modular product selection and customizable configuration rules, significantly lowering the configuration threshold and improving the efficiency of business personnel in maintaining configurations. It rapidly responds to the aerospace industry's needs for parallel model development, highly variable configurations, strong task customization, and tight development cycles, substantially shortening order conversion times and driving efficient transformation from Engineering-to-Order (ETO) to Assemble-to-Order (ATO).

4 ›  Unified management of test and inspection data.

Covers all six major elements of laboratory operations: personnel, equipment, materials, methods, environment, and measurement. Establishes standardized testing processes and a unified data platform, enabling automatic task dispatching, real-time data collection, structured result entry, one-click report generation, and closed-loop feedback on issues. Ensures that test data is authentic, complete, compliant, and auditable, supporting quality control and certification requirements.

5 ›  Full lifecycle management of prototype trials.

Manages the entire lifecycle of prototypes from requirement proposal, trial planning, BOM and process preparation, material readiness, production execution, to delivery and acceptance. Facilitates collaboration across multiple departments including R&D, process engineering, procurement, and production, achieving visualized trial plans, transparent resource status, and timely issue response, significantly enhancing the efficiency and success rate of prototype delivery.

6   High system stability, supporting large concurrency, big data volumes, and extremely complex workflows.

Built using mature Java technology stacks on the server side, it offers high availability and elastic scalability across platforms. Supports smooth operation of core businesses under long-term high load, handling concurrent operations by multiple teams and peak business loads. Drag-and-drop configuration enables the rapid setup of multi-node collaboration and parallel branch workflows, quickly adapting to iterative business needs. Functionality can be flexibly customized through MDA modeling without modifying source code, balancing agility with long-term system stability.

7   Support for group-level multi-organization deployment and global multi-language, multi-time zone applications.

Supports unified deployment across multiple factories and research centers within a group. Language packs can be self-expanded via standard templates, easily adapting to global localization needs. The client automatically identifies and dynamically displays the local time zone (including smart switching for daylight saving time), ensuring consistent data, collaborative processes, and uniform operational experiences across multinational teams on a single platform, supporting efficient global operations.