汽车零部件行业MES解决方案
众所周知，汽车零部件/零配件的组装是汽车制造的关键环节，而汽车零部件变革以精益为终极目标，即汽车零部件制造企业转型升级向精益生产和精益管理方向前进，而车间信息化管理是精益化生产的基础，汽车零部件行业MES系统解决了不同自动化设备间高效交互数据的技术瓶颈，为汽车零部件企业提供生产线控制和追溯系统解决方案，助力企业客户节省成本，提高产品质量。
1、主机厂对零部件供应商有生产追溯要求，对零部件的生产过程、关键物料及质量能够进行追溯；
2、多品种、小批量生产，生产节拍较快，对生产、物流、质量有着较高要求，对生产进度掌控、批次质量等要求高；
3、根据主机厂的要货计划及安全库存等进行生产，生产过程中，订单变更等异常存在，需要能够快速的对异常进行响应，并作出相应调整，减少因异常造成的影响；
4、每个工艺节点的生产模式不一样，对在制品的控制及跟踪较困难；
5、生产过程自动化程度较高，自动化设备需要进行联网并集中管控，监控设备状态，在设备出现异常时，能够快速的将异常信息传递给设备管理人员；
6、工装、刀具等异常对生产影响较大。
SIGER-汽车行业MIS（Manufacturing Intelligence System）大数据分析架构基于海量过程数据采集为基础，结合大数据架构技术，以六西格玛统计分析、可靠性分析、数据挖掘技术、深度学习技术为支撑，简化复杂产品全寿命周期分析过程，提供实时的过程动态分析。
汽车制造系统数据采集，基于数据爬取技术和设备通讯技术，SIGER提供一体化的自动化数据采集方案和数据结构体系，帮助客户减少数据获取的成本（实现零成本获取数据），且保证了数据获取的真实性、时效性，使汽车工业大数据分析成为可能。
基于机联网的设备数据采集方案，不仅使数据实时获得变得简单易行，同时使数据获取结构和频率变得更加合理，使数据全方位分析变得可行。
（SIGER数据采集系统支持多种NC系统，如FANUC、三菱、MAZAK、Siemens等数控系统，且与华中数控达成全方位战略合作，构建工业大数据采集与分析平台；支持多种PLC数据采集）
刀具全生命周期管理流程
11 智能报表
MES Solutions for The Automotive Parts Industry
Overview of MES System Solutions For the Automotive Parts Industry:
As is well known, the assembly of automotive parts/components is a key link in automotive manufacturing, and the transformation of automotive parts is aimed at lean as the ultimate goal, that is, the transformation and upgrading of automotive parts manufacturing enterprises towards lean production and lean management. Workshop information management is the foundation of lean production. The MES system in the automotive parts industry solves the technical bottleneck of efficient data exchange between different automation equipment, providing production line control and traceability system solutions for automotive parts enterprises, helping enterprise customers save costs and improve product quality.
Pain Points of Informatization in the Automotive Parts Industry:
1. The host factory has production traceability requirements for component suppliers, which can trace the production process, key materials, and quality of components;
2. Multi variety, small batch production, fast production pace, high requirements for production, logistics, and quality, as well as high demands for production schedule control and batch quality;
3. According to the procurement plan and safety stock of the host factory, production is carried out. During the production process, there may be abnormalities such as order changes, which require quick response and corresponding adjustments to reduce the impact caused by abnormalities;
4. The production mode of each process node is different, making it difficult to control and track the work in progress;
5. The production process has a high degree of automation, and automation equipment needs to be networked and centrally controlled to monitor equipment status. In the event of equipment abnormalities, the abnormal information can be quickly transmitted to equipment management personnel;
6. Abnormalities in tooling, cutting tools, etc. have a significant impact on production
SIGER-Big Data Analysis Architecture For the Automotive Industry
The SIGER Automotive Industry MIS (Manufacturing Intelligence System) big data analysis architecture is based on massive process data collection, combined with big data architecture technology, supported by Six Sigma statistical analysis, reliability analysis, data mining technology, and deep learning technology, to simplify the analysis process of complex product lifecycle and provide real-time process dynamic analysis.
Based on data crawling technology and device communication technology, SIGER provides an integrated automated data collection solution and data structure system for automotive manufacturing system data collection, helping customers reduce the cost of data acquisition (achieve zero cost data acquisition), and ensuring the authenticity and timeliness of data acquisition, making big data analysis in the automotive industry possible.
The device data collection scheme based on the Internet of Machines not only makes real-time data acquisition simple and feasible, but also makes the data acquisition structure and frequency more reasonable, making comprehensive data analysis feasible.
The SIGER data acquisition system supports multiple NC systems, such as FANUC, Mitsubishi, MAZAK, Siemens and other CNC systems, and has reached a comprehensive strategic cooperation with Huazhong CNC to build an industrial big data acquisition and analysis platform; Support multiple PLC data collection)
Real time monitoring of equipment
Tool lifecycle management process
Traceability management: accurate traceability based on artifact QR code, and discrete batch traceability based on work order flow
Andon management: mobile | whole-process control | directional push | level report
Kanban Management - Production Management APP
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Official Contact Info:
Email: marketing@siger-data.com
WhatsApp: +86 189 6235 3927
WeChat：189 6235 3927
