♦ 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.

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."
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.
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.
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.
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.
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.
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.
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.
By deeply integrating AI with PLM, static data assets are transformed into dynamic intelligent capabilities, accelerating R&D innovation, process optimization, and knowledge reuse.
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.