Customer Introduction
Wanxiang A123 has a rather legendary development history. Its predecessor, A123, was founded at the Massachusetts Institute of Technology (MIT) in the United States in 2001. As a world - class scientific research institution, MIT has profound heritage and strong capabilities in the field of technological innovation. Born in such an academic environment, A123 was endowed with the genes of science and innovation from the very beginning. In the same year, it established a research and development center in Massachusetts, USA. Massachusetts is home to many scientific research institutions and high - tech enterprises, which provides a favorable industrial ecosystem and a good environment for technological exchange for A123's R & D work, enabling it to quickly get off the ground on the path of battery technology R & D.
By 2009, A123 took an important step in its development by setting up a factory in Michigan. Michigan is an important base for the U.S. automotive industry, with a well - established automotive industrial chain. By establishing a factory here, A123 could get closer to automobile manufacturers and provide battery support for well - known brands such as General Motors and Chrysler. This not only provided power support for the development of these automobile brands but also enabled A123 to gain a foothold in the battery market and accumulate rich industry experience and customer resources.
In 2012, Wanxiang Group acquired A123 in its entirety. Wanxiang Group has deep accumulation and extensive layout in the domestic power battery business. After the acquisition of A123, Wanxiang Group integrated the businesses of both sides. After several years of careful preparation and development, it was officially renamed "Wanxiang 123 Co., Ltd." in 2016. In the same year, Wanxiang 123 set its sights on the European market and opened a factory in the Czech Republic. With the growing demand for electric vehicles in Europe, the Czech Republic's advantageous geographical location enables it to serve countries across Europe conveniently. This move by Wanxiang 123 allowed it to quickly enter the European market, providing battery products for mainstream European automakers such as Daimler-Benz, Porsche, and Jaguar Land Rover, further enhancing the company's influence in the international market.
In addition, Wanxiang 123 has also achieved remarkable results in industry cooperation. It has carried out in - depth cooperation with CATL. As a globally leading power battery manufacturer, the cooperation between the two sides has realized resource sharing and complementary advantages. Meanwhile, Wanxiang 123 has become the largest shareholder of Guoxuan High - tech, further strengthening its position in the industry. Volkswagen has even signed a long - term order worth tens of billions of yuan with Wanxiang 123. This cooperation is of great significance for Volkswagen's electrification layout in the Chinese and even Asian markets. Through the cooperation with Wanxiang 123, Volkswagen's power battery supply chain map is gradually taking shape, solving the most crucial power battery supply problem in its electrification development and eliminating potential concerns for its development in the field of electric vehicles.
Project background
During the operation of the company, there are some problems that need to be solved urgently. First of all, the company lacks an effective channel to collaboratively control the quality of incoming materials with suppliers. In the supply - chain management of modern enterprises, collaborative cooperation with suppliers is of crucial importance. Without an effective communication and collaboration mechanism, it is impossible to promptly understand the suppliers' production situation and product quality status. Suppliers may encounter various problems during the production process. However, due to the lack of a smooth communication channel, the company has difficulty obtaining relevant information in a timely manner, and thus cannot effectively control the quality of incoming materials.
Secondly, the pace of quality control by suppliers fails to keep up with the company's requirements. As the market's demands for product quality are getting higher and higher, the company's standards for the quality of incoming materials are also continuously improving. However, some suppliers may not be able to adjust and improve their own quality control measures in a timely manner due to reasons such as technological level and management ability. This results in numerous quality issues with the incoming materials and many potential risks. For example, some components may have no obvious appearance defects, but there are hidden problems in terms of performance and reliability. If these potential risks cannot be eliminated in a timely manner, they may have a serious impact on the company's product quality and production efficiency.
Furthermore, the insufficient execution of quality rectification is also a prominent issue. After identifying quality problems, the company will require suppliers to carry out rectifications. However, in the actual implementation process, there is often a situation where the tasks are not detailed enough. That is to say, the rectification tasks are not refined, lacking clear specific rectification measures, responsible persons, and time nodes. This results in poor traceability, making it difficult to effectively supervise and evaluate the rectification process.Due to the lack of an effective supervision and evaluation mechanism, similar problems often occur repeatedly. This not only wastes a large amount of human resources, material resources, and time but also seriously affects the company's production efficiency and product quality.
These problems have brought about a series of negative consequences. Low work efficiency is one of the most obvious manifestations. Due to the numerous quality issues with the incoming materials, a great deal of time and energy need to be spent on inspection, screening, and processing, which hinders the production process and significantly reduces work efficiency. To deal with these problems, the company has to increase the input of human resources, and as a result, the labor cost has also risen.
Unclear work tasks and poor organization are also serious problems. Due to the lack of systematic sorting and reminders, employees have deviations in their understanding and implementation of work tasks, resulting in frequent delays in work. Moreover, during the work process, feedback is not provided in a timely manner. As a result, superiors cannot keep abreast of the work progress in time and are unable to offer timely guidance and support, which further affects the work efficiency and quality.
The high communication cost is also a problem that cannot be ignored. Within the company, there are obstacles in the communication between superiors and subordinates. Information is transmitted neither in a timely manner nor accurately, which makes it difficult to coordinate work. When communicating with external suppliers and customers, due to the frequent occurrence of quality problems, a large amount of communication and negotiation are required. This consumes a great deal of time and energy, thereby increasing the communication cost.
Project content
To solve the above problems, the company has launched a series of projects. The first one is the custom - setting of inspection items, sub - items, and defect items. Different products and suppliers may have different quality requirements and potential problems. By custom - setting inspection items, sub - items, and defect items, personalized inspection standards can be formulated according to the actual situation. In this way, incoming materials can be inspected more precisely, potential quality problems can be detected in a timely manner, and the accuracy and effectiveness of the inspection can be improved.
The custom setting of inspection instructions is also one of the important parts of the project. Inspection instructions serve as the basis for inspectors to carry out inspection work. By custom - setting inspection instructions, the inspection methods, procedures, standards, and precautions can be specified in detail according to different products and inspection items. This helps inspectors conduct inspection work in a more standardized and accurate manner, thereby improving the quality and efficiency of inspection work.
Inspection data collection includes the collection of attribute data (count - type data) and variable data (measurement - type data). Attribute data is mainly used to record the number of qualified and unqualified products, while variable data is used to record various performance indicators and parameters of products. By comprehensively and accurately collecting inspection data, strong support can be provided for subsequent quality analysis and decision - making.
Non-conforming product handling (NCR) is a crucial step in ensuring product quality. When non-conforming products are discovered, they need to be promptly handled, including isolation, marking, cause analysis, and the formulation of corrective measures. Through a standardized non-conforming product handling process, non-conforming products can be prevented from entering the production process, thereby reducing the impact on product quality.
Intelligent analysis of quality data is one of the core elements of the project. Through the analysis of defect items, the main quality problems and defect types of products can be understood, the root causes of the problems can be identified, and a basis can be provided for improving product design and production processes. Analysis of the non - conformance rate can help the company understand the product quality level of suppliers, evaluate their supply capabilities, and provide references for the selection and management of suppliers. PPM (Parts Per Million) analysis can accurately calculate the non - conformance rate per million of products, reflect the subtle changes in product quality, and detect quality fluctuations in a timely manner. Severity analysis can assess the severity of different quality problems and prioritize the handling of issues that seriously affect product quality and safety. Trend analysis of metrological items can track and analyze metrological data over the long term to understand the changing trends of product performance indicators, detect potential quality problems in a timely manner, and provide early warnings for product quality improvement.
Project outcomesProject results Project achievementsoutcomes、results、achievements、
Remarkable results have been achieved through the implementation of the above - mentioned projects. Firstly, an information platform for the collaborative control of incoming material quality between the company and suppliers has been established. This platform provides a channel for real - time communication and collaborative work between the company and suppliers. Suppliers can promptly learn about the quality of their products through the platform and establish a quality control method of "self - checking first when problems occur". When quality issues arise, suppliers can conduct self - inspections and analyses immediately, identify the causes of the problems, and take corresponding corrective measures. This not only enhances the suppliers' quality control capabilities but also reduces the communication costs and coordination difficulties between the company and suppliers.
Secondly, the quality responsibility awareness of suppliers has been established. In the past, due to the lack of clear definition and handling of quality issues, there were phenomena of shifting blame and complaining about quality problems among suppliers. Through the implementation of the project, the quality responsibilities of suppliers have been clarified, enabling suppliers to recognize their important role in product quality control. This helps to reduce the shifting of blame and complaining about quality issues, establish a good cooperative relationship, and jointly improve product quality.
Finally, the company's monitoring ability for product quality has been comprehensively enhanced. Through the intelligent analysis of quality data, the management concept of "letting data speak for everything" has been realized. The company can promptly identify product quality problems based on accurate quality data and formulate scientific and reasonable improvement measures. Meanwhile, by conducting long - term tracking and analysis of quality data, the company can predict the development trend of product quality and take preventive measures in advance to ensure the stability and improvement of product quality.