New Materials
Requirements Analysis
♦ R&D data is fragmented and lacks unified management. Core R&D assets—such as experimental formulations, process parameters, test data, and characterization results—are often dispersed in paper records, Excel files, or local documents. Due to inconsistent formats and weak interconnections, these data are difficult to aggregate in a structured manner or retrieve efficiently, severely hindering the mining and reuse of their value.
♦ Knowledge is highly dependent on individual experience, leading to severe knowledge transfer gaps. Critical capabilities such as formula design and process optimization are concentrated among a few senior engineers, without forming a systematic and inheritable knowledge framework. Personnel turnover can easily result in technological discontinuity, prolonging the training cycle for new employees and limiting innovation efficiency.
♦ Inefficient cross-departmental collaboration and disconnection between technology, production, and market: The absence of a unified collaboration platform among R&D, pilot testing, production, procurement, and sales leads to delayed updates of technical documents, resulting in slow mass production ramp-up, inaccurate cost estimation, and delayed response to customer requirements.
♦ Experimental process management is coarse and inefficient, with low resource utilization. Experiment planning and equipment scheduling rely heavily on manual coordination, resulting in non-transparent processes and uncontrolled progress. Equipment idleness and backlog coexist, leading to inefficient R&D resource allocation and slowing down the overall pace of innovation.
♦ Compliance and intellectual property risks are significant. Facing global chemical regulations such as REACH, RoHS, TSCA, and customer environmental requirements, there is a lack of centralized management and automated compliance screening for material compositions, safety data, and test reports. Meanwhile, the R&D process lacks version traceability and adequate IP protection mechanisms, making it vulnerable to data leaks or ownership disputes.
♦ Lack of intelligent R&D tools: Formula design, performance prediction, and process optimization still rely on the "trial-and-error" approach. There is a lack of AI-assisted modeling, virtual screening, or parameter optimization tools based on historical data, making it difficult to advance from an "experience-driven" to a "data- and model-driven" R&D paradigm.
Formula Management
The system enables end-to-end integration from formula development, process routing, sample preparation to mass production delivery, leveraging advanced experimental data integration capabilities and a structured formula management mechanism. Through a unique, full-lifecycle management of formula BOMs, it ensures precise data consistency across all stages—from lab formulation and pilot production processes to mass production materials. Any change to a formula or process is automatically and seamlessly propagated in a closed loop to production, procurement, quality, finance, and other departments. Additionally, the fast order response functionality based on a standardized formula library supports customers’ customized material performance requirements, significantly enhancing the enterprise’s R&D efficiency, delivery speed, and compliance assurance capabilities.
- Supports integrated management of formulation, experimentation, testing, and analysis, enabling efficient cross-functional collaboration.
- Deeply integrates with the Laboratory Information Management System (LIMS) to establish a closed-loop of "input–process–output" data.
- Standardizes R&D processes in compliance with global regulations and industry standards, embedding robust compliance control points to ensure strict enforcement of quality systems.
- Unique lifecycle management of formulation BOMs: BOMs can be traced back, compared, audited, and renumbered; BOM changes are automatically propagated from design to process engineering, production, procurement, finance, and other departments.
- Enterprise-level coding system for materials and formulations, resolving common issues such as "one item with multiple names," "one name for multiple items," and "batch confusion."
- Visualized personal work management improves individual work organization and efficiency.
- Rapid order configuration driven by customer requirements, intelligently recommending or generating executable formulation solutions—enabling a seamless flow from customer needs to system-generated formulations.
- Builds a "formulation knowledge asset repository," transforming tacit experience into explicit knowledge and converting individual expertise into organizational intelligence.
Process Management
The SIPM/PLM Process Management Solution enables seamless integration between R&D formulations and production processes, allowing process engineers to directly access design information such as component ratios and reaction mechanisms. When a formulation change occurs, the system automatically triggers synchronized updates to process routes, key control parameters, inspection standards, and safety operating procedures. Furthermore, the system can extend from core process management to comprehensive control of specialized equipment, as well as tooling, measuring instruments, auxiliary materials, consumables, and process parameter documents. It supports dynamic reconstruction of process models based on product grades, customer orders, and production line capabilities, fully meeting ERP/MES requirements for data such as process routes, time standards, material consumption, and cost accumulation.
- Enables integrated management of formulation schemes and process design, allowing seamless access to design details such as composition and performance specifications, and ensuring timely transmission of formulation changes to the process side; provides ERP with complete, structured foundational data including process routes, standard cycle times, and material consumption coefficients.
- Delivers a new generation of intelligent, structured, and scalable process solutions based on a unified BOM.
- Establishes a standardized operation library covering typical unit operations for materials; supports output of process cards according to national, industry, or customer-specific templates; and allows easy reference to process resource libraries, enhancing process reusability and operational consistency.
- Supports rapid process design by referencing the standard operation library, with direct card file generation from templates—eliminating non-value-added tasks such as manual table formatting and layout for process engineers.
- Enterprises can directly apply the standard process library to manufacturing BOMs for process design and automatically generate process cards, enabling standardized process management.
- Extensible from equipment and tooling definitions to comprehensive equipment and tooling management, with process model reconstruction capabilities that fully meet the process information requirements of various ERP/MES systems.
- Provides the foundation for unified, project-based management of technical work, ensuring effective implementation of a complete quality management system.
Project Management
Hierarchical planning and centralized control in project management make the management of material R&D projects simple and controllable. Core resources such as formulation data and technical documents are dynamically assigned based on project tasks, enabling flexible and effective control over data security and sharing. Additionally, real-time, multi-dimensional monitoring of ongoing projects supports managers in precisely tracking project progress, costs, and quality, ensuring the high-quality and efficient completion of new material projects that are typically high-investment and long-cycle.
- Hierarchical planning and centralized control in project management make material R&D projects simple and manageable.
- Supports both forward and backward scheduling of project plans; when unexpected disruptions occur, the system dynamically optimizes subsequent paths to minimize overall project impact and ensure milestone achievement rates.
- Temporarily and precisely assigns access permissions to project documents based on tasks and collaboration roles, meeting industry security and compliance requirements while enabling efficient cross-company and cross-departmental data sharing—effectively resolving the dual challenges of "data silos" and "security leaks."
- Enables strong association between project tasks and deliverables, ensuring complete, traceable outputs at every R&D stage that comply 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 tracking 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, SIPM/PLM provides fine-grained knowledge access control, supporting 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 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 and Testing Management
Sample and Testing Management (SIPM/LIMS) is built on SIPM Software's proprietary no-code platform, sharing the same modeling tools, underlying architecture, and database as SIPM/PLM. This enables deep, seamless integration, creating a unified platform for test data and business management 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.
FMEA Management
SIPM/FMEA is deeply integrated into the SIPM PLM platform, and based on the AIAG-VDA Fifth Edition standard, centers around the "Seven-Step Approach" to enable a full-process, structured, and closed-loop risk management—from DFMEA to PFMEA and then to Control Plans—by integrating AP matrices, dynamic collaboration, and knowledge base-driven methodologies.
- Seamless integration of standards with out-of-the-box usability, featuring built-in unified AIAG-VDA templates, support for multiple customizable S/O/D (Severity, Occurrence, Detection) scoring criteria, intuitive operation, and flexible rule configuration.
- Guided full-process workflow based on the seven-step method, with the system structuring and presenting functional analysis, failure analysis, risk assessment, and optimization measures step by step—ensuring clear logic and lowering the barrier to use.
- Enterprise-level FMEA knowledge base supports the import of project-specific or foundational FMEAs, enabling knowledge content to be synchronously updated, reused, and referenced during the analysis process, thereby transforming experience into organizational assets.
- Intelligent association and reuse: Functions, failure modes, characteristics, requirements, parameter diagrams, and other elements are fully interconnected; supports copying of foundational FMEAs in whole or in part, significantly improving analysis efficiency.
- Closed-loop risk management: Built-in issue tracking with closed-loop mechanisms, supporting both rapid resolution and standard 8D processes; automatically validates AP (Action Priority) levels and intelligently alerts users to high-risk items.
- Unified data source with PLM ensures consistency, synchronization, and traceability of design, process, and quality information, enabling integrated collaboration and control.
AI Intelligent Applications
By deeply integrating AI with PLM, static data assets accumulated during the R&D process in the new materials industry—such as formulations, process parameters, test results, and technical documents—are transformed into dynamic intelligent capabilities, supporting formulation optimization, process iteration, and efficient knowledge reuse.
- Intelligent Formula Knowledge Engine: Based on historical formulations, raw material data, performance test reports, and R&D documents, it constructs a structured vector-based knowledge system to enable automatic aggregation, semantic classification, and precise delivery of formula knowledge.
- Content-level intelligent search supports full-text semantic search across both unstructured and structured data—including formula cards, raw material specifications, test records, and change logs—enabling cross-document and cross-version associative review and quick reference.
- Intelligent recommendation of formulations and processes: By analyzing target performance specifications and historical successful cases using AI, the system automatically recommends base formulation combinations and matching process parameters, assisting engineers in rapidly generating feasible solutions.
- Scalable AI architecture supports integration with mainstream AI frameworks, enabling enterprises to train proprietary models based on their own data and integrate them with the PLM system to implement customized intelligent applications.
- Data-driven formulation optimization decisions: AI automatically analyzes multi-dimensional data such as formulation components, cost, test results, and stability, identifies key influencing factors, and assists in cost control, risk, and resource allocation, driving the evolution of formulation development from "trial-and-error-driven" to "model-driven."
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 › The only PLM system that supports structured management of the fifth edition FMEA.
Based on the AIAG-VDA seven-step FMEA standard, the system provides structured templates, failure mode knowledge base recommendations, automatic association of prevention/detection controls with design and process elements, and risk closed-loop tracking, enabling seamless integration between DFMEA and PFMEA. FMEA is deeply embedded into the core R&D and manufacturing processes, ensuring early risk identification, actionable mitigation measures, and fully traceable results.
3 › 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.
4 › 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.
5 › 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.
