思普

Transportation and Logistics

Requirements Analysis

♦ Product development cycles for vehicles, rail transit systems, ships, and other industries typically span 3 to 5 years—or even longer. Meanwhile,R&D is shifting from traditional "single-point breakthroughs" toward "system integration," requiring deep collaboration across multiple disciplines such as mechanical, electronic, and software engineering. This process involves handling massive amounts of data that are not only voluminous and complex in structure but also pose significant management challenges.

♦ Design drawings, BOMs, process documents, test reports, quality records, and more are scattered across various systems or individual computers, leading to data fragmentation and a lack of centralized management. This makes it challenging to ensure the accuracy, consistency, and full-chain traceability of the information.

♦ Driven by factors such as regulations, standards, fluctuating market demands, and ongoing technological challenges, design and process changes occur frequently. This leads to lengthy change response cycles, information mismatches, and ultimately results in project delays, material stagnation, and cost overruns.

♦ There is a lack of efficient and secure mechanisms for data sharing and process collaboration with suppliers and partners during stages such as prototype development, certification, and change management, which negatively impacts the overall supply chain's responsiveness and the consistency of product quality.

♦ R&D experience, technical solutions, and problem-solving cases are not systematically documented or archived, leading to knowledge reliance on individual expertise. As a result, it takes longer to onboard new employees, historical experience and valuable insights remain underutilized, and the reuse rate of accumulated knowledge is low.

Structural Design Management

SIPM/PLM offers leading CAD integration capabilities, enabling the seamless assembly of highly complex 3D models while ensuring two-way data exchange between design tools and the PLM system—thus enhancing both design efficiency and data consistency. With specialized BOM lifecycle management, BOM changes are automatically synchronized across engineering, manufacturing, procurement, and the supply chain, effectively addressing the "multi-variety, rapid iteration, and high customization" market dynamics characteristic of the transportation and logistics industry.

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 management process, seamlessly integrating with mainstream EDA design tools. It enables bidirectional data integration between schematic designs, PCB layouts, and the PLM system, ensuring automatic design data synchronization, consistent versioning, and controlled change management. The system also supports multi-attribute management of electronic components, intelligent matching, and a robust material selection mechanism—leveraging the company’s preferred component library strategy to enhance design quality and supply chain resilience from the very beginning.

Deeply integrated into mainstream EDA tools, it automatically extracts BOM information, component lists, and more—eliminating manual entry errors and ensuring design-data consistency.
Electronic component differentiation attribute management supports defining independent attribute templates based on component types (such as resistors, capacitors, ICs, connectors, etc.), enabling a "one type, one template" approach.
Alternative materials and successor material management systematically maintain alternative relationships, lifecycle statuses, and certification equivalencies. When the primary material faces stock shortages, production halts, or supply risks, compliant alternative solutions ensure the continuity of both design and production processes.
Support design engineers in initiating preferred material reviews during the selection phase, based on material preference ratings and suitable application scenarios. The system will prioritize recommendations to guide the selection process toward high-reusability, high-reliability, and cost-effective materials.
BOM collaboration across the entire product lifecycle: Electronic design BOM changes are automatically synchronized to departments such as engineering, production, procurement, and quality, enabling an end-to-end closed loop and preventing misassembly, inventory stagnation, or production line downtime.

Software Development Management

SIPM/PLM deeply aligns with the intelligent transformation trends in the transportation and logistics sector, enabling efficient management of the entire software development lifecycle—from requirements gathering and design to development, testing, and deployment. 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-factor lifecycle management—including algorithm documentation, requirement specifications, test cases, and closed-loop bug tracking—supports version tracing and compliance auditing.
Consistency of data flow across all stages—ensuring alignment from requirements management, through functional design and programming development, to software testing.
Achieve a seamless integration of data flows across all stages—ensuring consistent data flow from requirements management, functional design, programming development, to software testing.
Integrated Software-Hardware Collaboration: Achieve comprehensive coordination between software development, electronic design, and structural design, ensuring seamless software-hardware integration for delivery and accelerating the engineering implementation of innovative products.
Agile development support, enabling agile project development management to meet the needs of rapid iteration and evolving customer requirements.

Process Management

The SIPM/PLM Process Management Solution enables integrated management of product and process design, allowing seamless access to design content and timely communication of design changes. It also seamlessly integrates with SIPM/QIS to automatically receive quality feedback, ensuring that Implementation of a comprehensive quality management system; and the ability to extend from process management to the management of equipment, tooling, molds, and even NC code—complete with process model reconfiguration capabilities—to fully meet the diverse ERP/MES requirements for process data.

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 standard process library within PLM and maintaining process-related information; enables structured process symbol descriptions and multi-standard process card outputs; and facilitates easy access to resources such as equipment, tooling, workstation fixtures, and auxiliary materials.
By referencing the standard process library for rapid process design and directly generating card files via templates, this approach minimizes the time process engineers spend on tedious card-form layout and design input, thereby boosting overall efficiency.
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. Additionally, the system supports multi-dimensional, real-time monitoring of ongoing projects, empowering managers to precisely track project progress, costs, and quality—ensuring the timely, high-quality, and efficient delivery of highly complex, long-term, and highly compliant projects in the transportation and logistics sector.

Project management features tiered planning and centralized control, making the management of large, complex projects simple and manageable—and perfectly aligned with the industry’s R&D model of "platform-based development combined with personalized customization."
Provides forward and backward scheduling for project plans, enabling automatic optimization of subsequent task sequences and resource allocation based on intelligent algorithms when unexpected risks arise—minimizing the impact on project delivery.
Based on project tasks and the roles of collaborating parties, we temporarily and precisely assign access permissions to project materials—ensuring compliance with industry-specific security standards such as IATF16949 and IRIS (ISO/TS22163), while also enabling efficient cross-enterprise and cross-departmental data sharing. This approach effectively addresses the dual challenges of "data silos" and "security breaches," unlocking seamless collaboration across organizational boundaries.
Task one’s deliverables are strongly linked: the requirements document, FMEA, test records, and other deliverables are automatically tied to the task, ensuring that phase outputs are complete, traceable, and compliant.
Multi-project visual monitoring dashboard: Gain real-time insights into project progress and enable swift, informed decision-making and intervention.
Supports multi-dimensional performance metrics such as work hours and task completion rates, providing managers with quantitative data for task allocation and employee performance evaluations, while motivating the team to focus on delivering value.
Real-time aggregation and early warning of project cost breakdowns, ensuring that costs for high-investment R&D projects remain consistently 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. At the same time, SIPM/PLM addresses the high confidentiality and strong collaboration requirements of the transportation and logistics industry by offering granular control over knowledge access permissions. It enables dynamic granting of temporary access rights tailored to specific job needs, ensuring both strictness and flexibility in permission management.

Dual-driven by standardized knowledge base management and project-hour-based performance management, this approach reduces redundant design and ineffective communication.
It features a performance management mechanism deeply tied to projects and tasks, along with visualized workload and performance metrics. Managers can promptly and easily query the actual workload and performance status of personnel in each department—organized hierarchically—enabling precise human resource allocation and dynamic balancing of workloads across teams.
By analyzing performance data on work hours and delivery quality, we can support the development of customized training programs and build robust career advancement pathways, ultimately fostering a stable, high-performing core technical team.
Establish a mechanism for building and reusing knowledge assets within the enterprise, transforming design expertise and solutions—currently scattered across individual computers—into structured, enterprise-wide knowledge that is searchable, interconnected, and adaptable. This will accelerate new employees' integration and ensure seamless technology transfer across generations.
Provides fine-grained management of work permissions and knowledge-sharing access, enabling dynamic granting of temporary permissions based on job requirements—ensuring both stringent access control and operational flexibility.

Sample Testing Management

Sample Testing Management (SIPM/LIMS) is built on Sipoo Software's proprietary, no-code foundation and shares the same modeling tools, underlying architecture, and database as SIPM/PLM, enabling deep, integrated collaboration. This seamless integration creates a unified platform for managing testing data and business operations, tailored to meet the requirements of laboratory management systems.

Implement a fully online process—from delegation requests and sample registration to intelligent task allocation, automated raw data entry, and seamless report generation—ensuring compliance with regulatory requirements and guaranteeing test integrity and traceability.
Implement structured and dynamic management of core elements such as laboratory personnel qualifications, equipment calibration, sample flow, testing methods, and environmental conditions.
Supports the online transformation of business applications, intelligent task allocation, visualized testing processes, automated data collection, and refined result analysis—significantly boosting experimental efficiency and data accuracy.
Test data is seamlessly integrated in real time with PLM master data—such as product design, BOMs, changes, and quality information—enabling quick feedback on quality issues back to R&D and manufacturing, thereby driving closed-loop improvements.

Prototype Manufacturing Management

The core of Sample Part Manufacturing Management (SIPM/PMS) is to address the customer’s need for dynamic, end-to-end management throughout the sample part prototyping process—spanning from demand analysis and prototyping preparation to the actual manufacturing phase and finally to sample delivery. It covers key areas such as design, BOM management, process planning, material procurement, production readiness, and overall planning, enabling highly efficient cross-departmental collaboration. The system achieves this through real-time monitoring and data-driven decision support. Ensure the prototype manufacturing process is controllable, traceable, and enhances overall efficiency and productivity.

Unified management of prototype tasks, material preparation, process planning, and delivery milestones ensures that samples are delivered on time and meet high-quality standards.
Proactively warn of resource shortages, automatically identifying gaps in material inventory and manufacturing resources to prevent production halts due to material shortages and reduce costs associated with duplicate or excessive purchasing.
The trial production process data, material usage, and quality issues are fully documented throughout, enabling rapid root cause analysis and continuous improvement.
Online collection, analysis, and early warning of key data for new product prototyping—unlocking data insights to support process optimization. Real-time display of core metrics such as project progress, cost distribution, shipment volumes, and issue statistics, with support for drill-down linkage and cross-departmental collaboration to enhance decision-making efficiency.

FMEA Management

SIPM/FMEA is deeply integrated into the Sippl PLM platform, leveraging the AIAG-VDA Version 5 standard and centered around the "Seven-Step Method." It combines the AP Matrix, dynamic collaboration, and a knowledge-base-driven approach to enable end-to-end, structured, and closed-loop risk management—spanning the entire process from DFMEA through PFMEA all the way to the Control Plan.

Standardized integration, ready-to-use out-of-the-box, with a built-in AIAG-VDA unified template. Supports multiple custom S/O/D scoring criteria and offers intuitive operation with flexible rule configuration.
The seven-step method provides end-to-end guidance, with the system systematically presenting functional analysis, failure analysis, risk assessment, optimization measures, and more—all structured step by step for clear logic and a simplified user experience.
Enterprise-level FMEA knowledge base, supporting the import of project-level or basic FMEA analyses. During the analysis process, you can simultaneously update, reuse, and reference content from the knowledge base, enabling the institutionalization of valuable experience.
Intelligent association and reuse: comprehensively link elements such as functions, failure modes, characteristics, requirements, and parameter diagrams. It also supports replicating the entire or partial base FMEA, significantly boosting analysis efficiency.
Risk closed-loop management, with a built-in issue-closure mechanism that supports either rapid resolution or the standard 8D process; automatic validation of AP levels and intelligent alerts for high-risk items.
Derived from the same PLM data source, ensuring that design, process, and quality information remains consistent, synchronized, and fully traceable—enabling integrated collaboration and control.

AI Intelligent Applications

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

An intelligent knowledge engine, built on a classification vector system derived from the company’s R&D achievements, process documents, and empirical data, enabling automatic knowledge organization, semantic search, and precise knowledge delivery.
Content-level intelligent search, integrated with an AI engine, enables full-text semantic search within the PLM system, allowing users to seamlessly access and reference content-related information such as design documents, BOMs, and change records.
Crafted through AI-generated intelligence, this process leverages AI to identify part-machining features, automatically matches them with optimized process rules, and generates the most efficient machining routes—enhancing both design efficiency and consistency.
Scalable AI architecture that enables enterprises to integrate with mainstream AI frameworks, train proprietary large-scale models, and achieve deep integration with PLM systems. Implement customized smart applications.
Data-driven decision-making: AI automatically analyzes multi-dimensional data—such as project details, costs, and quality—to support budget optimization, risk alerts, and resource allocation, enabling management to evolve from "experience-driven" approaches to "intelligent decision-making".

Industry Advantages

1 › A globally leading MDA system modeling tool that enables personalized and flexible system modeling.

A low-code/no-code system-building platform based on Model-Driven Architecture (MDA) that enables a direct mapping between business logic and system implementation, allowing for continuous iterative evolution alongside evolving management practices. While ensuring high stability, it also supports personalized, flexible modeling of systems.

2 › Integrated Cross-Disciplinary Collaborative Design Management for Mechanical, Electrical, and Software Packages

The PLM platform centrally manages product data across various disciplines—mechanical, electronic, software, packaging, and more—eliminating data silos between multiple disciplines and ensuring consistent, complete, and fully traceable design data throughout the entire lifecycle, from system architecture to component-level details. This effectively supports the integrated development of transportation and logistics equipment.

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

Supports modular product customization and flexible configuration rules, significantly lowering the configuration barrier while enhancing business teams' ability to independently maintain systems. This enables rapid responses to the dynamic needs of transportation and logistics equipment—specifically, high levels of customization, diverse product variations, and swift delivery—while dramatically shortening the order-to-delivery cycle. Ultimately, this empowers companies to transition efficiently from Engineer-to-Order (ETO) manufacturing toward more streamlined Assemble-to-Order (ATO) operations.

4 › The only PLM system that supports structured management of FMEA Version 5

Based on the AIAG-VDA 7-step FMEA methodology, this solution offers structured templates, a recommended failure mode knowledge base, automatic association of preventive/detective measures with design and process objects, and features like closed-loop risk 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 strategies, and fully traceable outcomes.

5 › Unified Management of Testing and Inspection Data

Comprehensively covering the six key elements of the laboratory—people, equipment, materials, methods, environment, and measurement—we have established standardized testing processes and a unified data platform. This 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 identified issues. As a result, we ensure that all testing data is accurate, complete, compliant, and fully auditable, thereby supporting product quality and meeting certification requirements.

6 › Full-Process Management of Prototype Production

The prototype process spans the entire lifecycle—from requirement definition and pilot production planning to BOM and process preparation, material procurement, production execution, and finally delivery & acceptance. It seamlessly integrates collaboration across multiple departments, including R&D, process engineering, procurement, and manufacturing, enabling real-time visibility into pilot plans, transparent resource status, and prompt issue resolution. As a result, prototype delivery efficiency and first-time success rates are significantly improved.

7 › Extremely high system stability, supporting high concurrency, massive data volumes, and highly complex workflows.

The server-side is built using a mature Java technology stack, offering cross-platform high availability and elastic scalability. It supports smooth operation of core business processes under sustained high loads, handling concurrent operations from multiple teams and high-traffic scenarios during peak periods. Through drag-and-drop configuration, users can easily set up workflow chains such as multi-node collaboration and branch-based parallel processing, enabling rapid adaptation to evolving business requirements. Functional customization is achieved via MDA modeling without modifying the source code, effectively balancing agility with long-term system stability.

8 › Supports group-based multi-organization deployment and enables globally optimized, multilingual, and multi-timezone applications.

Supports unified deployment across multiple factories and R&D centers under a centralized group structure; language packs can be easily expanded using standard templates, seamlessly adapting to global localization needs. The client automatically detects the user's time zone and dynamically displays content tailored to that specific time zone (including intelligent switching between daylight saving time and standard time), ensuring that multinational teams achieve data consistency, streamlined process collaboration, and a consistent user experience—all while operating efficiently on a unified platform, thus supporting the company’s global, high-performance operations.