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Sustainable Product Ecosystem Platform
HAOSENsoft Aras Innovator PLM
WEB可视化
ECAD集成
工艺&MBOM管理
项目管理
质量管理EN

质量管理EN

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Quality Management


Overview

HAOSENsoft Quality Management is based on the three major activities of quality planning, monitoring and improvement, it carries out quality management around the product life cycle. From the perspective of software development, it establishes the overall architecture of the PLM-oriented quality management QMS system. It includes quality prevention, quality control and accumulation of quality knowledge assets. It is a comprehensive quality management system oriented to the product life cycle under the network model. It can respond to the market quickly, improve product quality continuously, and enhance the core competitiveness of the enterprise.

Value

Establishing enterprise quality standards and form enterprise's own quality framework

Realize quality control procedures at each stage are implemented, such as quality planning and risk prevention, quality audit and quality document control, problem management and CAPA tool quality control, and acceptance management.

Providing structured solutions for to identify and develop products to meet customer requirements, helping to solve all problems before product delivering.

Advantages

No license restrictions.

Providing complete FMEA, Problem Management, CAPA Process standard solutions.

Covering all stages of control processes of quality

Main Function

Quality Planning, including project planning and demand management, FMEA/control plan, equipment management and MSA, digital inspection planning, plan controlling and risk analysis.
Digital Inspection, including digital full-process inspection process, data collection automation on-site, quality monitoring on-site.
Quality Closed Loop, including quality assurance and after-sales integration, process and supplier review, failure and action history experience database, problem handling process, comprehensive quality report.
4-Layer Implementation, including quality status monitoring, statistical process and analysis, data process tracing, inspection report and evaluation, supply chain quality assessment.