The project development process is automatically decomposed based on CVDP, and the workflow for completing task deliverables during project execution, as well as project control, has been automated.
Automotive and component R&D investments are substantial, accounting for one-third of the total product cost. Automotive and component R&D need to follow standard product development processes, such as lean development processes, which require multi-level task decomposition and automatic sending according to process templates. Additionally, real-time feedback on project progress is necessary for real-time tracking and control. The automation and procedural advancement of project work can significantly improve the efficiency of the R&D process.
SAIC Maxus Automobile Co., Ltd. (referred to as SAIC Maxus) is a wholly-owned subsidiary of SAIC Motor Corporation Limited, with a registered capital of 3.794 billion RMB. The company's products include a combination of MPVs, SUVs, recreational vehicles, wide-body light commercial vehicles, and pickup trucks under the "SAIC Maxus" brand, as well as various light and medium-duty trucks under the "SAIC Yuejin" brand.
SAIC Maxus follows the CVDP standard development process for automotive R&D, requiring multi-level task decomposition and sending according to the R&D process template. Real-time feedback on project progress is also necessary for real-time tracking and control. Therefore, the automation and procedural advancement of project work can significantly improve project efficiency and reduce project risks.
The requirements for the R&D process management and automation system at SAIC Maxus are as follows:
1. Automatically decompose the entire product development process based on CVDP, forming task items that are automatically sent to R&D engineers according to time nodes.
2. Achieve automatic and interrelated flow of complex business processes, avoiding the disorder of email circulation, standardizing business processes, and ensuring effective tracking and traceability.
3. Seamlessly and automatically integrate with business systems such as SAP, MES, PDM, and BOM.
4. Archive and reuse best practice business process templates, effectively improving the efficiency of new model development.
AlphaFlow provided a combined solution of the AlphaFlow Process Automation Platform and the AlphaProject Project Management Platform (internally referred to as the "Vehicle R&D Knowledge Ecosystem Project") for SAIC Maxus. This solution automatically decomposes the project development process based on CVDP and achieves the automation of workflows for completing task deliverables and project control.
1. Workflow. Project deliverables are submitted and automatically archived through online workflows, enabling engineers to submit and archive project deliverables.
2. Control Processes. Through approval processes for plans, plan change processes, and deliverable change processes, automatic control over project progress, project deliverables, and other dimensions is achieved.
3. Integration Processes. Using the AlphaBot process robot and iPaaS process integration platform, automatic data interaction between the R&D process and systems such as MES, PDM, and BOM is enabled, avoiding redundant data queries and entries, and significantly improving the efficiency of R&D engineers.
Through this collaboration with the AlphaFlow Process Management and Automation Platform:
1. SAIC Maxus has achieved the decomposition of complex R&D tasks, combining business process management with project organization, milestones, deliverables, and gate management, enabling online control of vehicle R&D work.
2. Previously offline or email-based business processes have been transitioned online, making process flows more convenient, efficient, and automatic, and simplifying process tracking and problem tracing.
3. The reuse of best practices has been addressed, allowing the experience of predecessors to be captured as business process templates, providing better guidance and reference for subsequent R&D engineers.
4. The information and process silos between R&D and other business units have been resolved, significantly reducing repetitive process work for engineers.
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