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The worldwide automotive business is within the midst of main adjustments and challenges towards the development of electrification and intelligence. In accordance with the current statistics launched by a neighborhood auto business affiliation, the gross sales of China’s gasoline car market have declined for 3 consecutive years. With the intensification of the worth battle, some automobile firms have even withdrawn from the market. The auto elements producers caught in it are dealing with the issue of how one can survive and develop towards the more and more fierce competitors.
Yanfeng Auto International Automotive Technology Co., Ltd. (hereinafter known as “Yanfeng Auto”) is a number one Chinese language automotive elements provider specializing in automotive inside and exterior trim, automobile seats, cabin electronics and security programs. Headquartered in Shanghai, Yanfeng Auto has 9 R&D facilities, greater than 240 factories and technical facilities in 20 nations world wide, with over 55,000 staff. Dealing with challenges, Yanfeng Auto’s strategy is to work with firms like IBM with superior know-how, business expertise and technical experience to speed up its personal data-driven digital transformation to scale back price, enhance effectivity and scale for company-wide innovation.
State of affairs 1: Routinely convert large exterior common orders to inside orders with the pure language studying functionality of IBM Watson Discovery
Yanfeng Auto receives an enormous variety of orders from automakers and downstream producers day by day, and it beforehand needed to manually convert exterior common orders to inside orders based mostly on expertise. In every manufacturing unit, it took a median of 150 minutes a day for 2 employees members to kind the orders manually, accompanied by 15% classification errors. That presents huge challenges for the corporate when it comes to labor price and effectivity.
Leveraging the highly effective pure language studying functionality of IBM Watson Discovery and the hands-on help of IBM Customer Success Manager (CSM) team, Yanfeng Auto efficiently constructed up an AI mannequin that was educated with its combined knowledge of structured knowledge and unstructured textual content, masking 180 million historic knowledge, with over 200 permutations and combos. The mannequin has realized the principles behind the inner orders comparable to common orders. The AI mannequin helps the corporate notice a totally computerized execution course of with out handbook operation, growing the order classification accuracy fee from 85% to 97%.
State of affairs 2: Notice high-speed transmission of large knowledge between department manufacturing workshops and headquarters with Aspera Module of IBM Cloud Pak for Integration, establishing knowledge basis for clever stock platform with predictability.
The Clever Manufacturing Division of Yanfeng Auto hopes to work with IBM CSM staff to discover the way in which of build up its clever stock platform with predictive capabilities. To drive predictive resolution making and computerized recognition, they want a considerable amount of knowledge throughout the corporate for AI mannequin coaching. Nevertheless, the primary roadblock is its outdated method of information transmission.
To keep up real-time situational consciousness of the elements stock in varied manufacturing workshops in additional than 240 factories world wide, Yanfeng Auto must shortly transmit again to headquarters the 1000’s of real-time photographs taken at every plant. Beforehand, the Clever Manufacturing Division used the standard copy and paste methodology to switch the picture information by batches. On account of gradual transmission velocity, huge community delays, and critical packet loss, they needed to manually choose and duplicate the picture information by batches and repeat the method a number of instances. This was not solely time-consuming but additionally made it simple to make errors. On the similar time, if the transmission was interrupted, it couldn’t be reconnected and resume transmission routinely, nor might they customise the transmission velocity, or totally make the most of the transmission bandwidth of the spine community.
With help of IBM CSM staff, Yanfeng Auto efficiently deployed Aspera Module of IBM Cloud Pak for Integration inside solely in the future to construct up a light-weight enterprise-level file switch resolution for Yanfeng Auto, which elevated its file switch velocity by 10 instances, saved handbook ready time, prevented human errors, realized computerized transmission resumption and computerized community reconnection. With this resolution, Yanfeng Auto now can dynamically configure transmission bandwidth and velocity restrict with out affecting the efficiency of its ERP core system and maximize the transmission effectivity of its real-time monitoring information, laying the information basis for realizing the division’s imaginative and prescient of build up an clever stock platform with predictive capabilities.
State of affairs 3: Break the operational bottleneck brought on by Kafka, an open-source knowledge extraction device. With Occasion Streams Module of IBM Cloud Pak for Integration, you possibly can simplify the method of extremely accessible knowledge extraction.
Yanfeng Auto has beforehand deployed an open-source Kafka cluster in every department manufacturing unit to extract knowledge from a number of real-time manufacturing knowledge in its MES system and supply them to the MI Kanban (Dashboard) System of every manufacturing unit for question and show. Nevertheless, this open-source system poses a number of operational complexities.
For instance, for every handbook set up, deployment, configuration, improve, and upkeep, it might take days or even weeks and incur an enormous labor price. Furthermore, it was not in a position to make sure enterprise-level safety and excessive availability, and it didn’t help pure integration with the core enterprise programs and the widespread manufacturing programs. Lastly, there was no Kafka technical help or after-sales assure, ensuing within the want for ongoing funding in employees coaching and skilled consulting providers.
With the help of IBM CSM staff, Yanfeng Auto has efficiently adopted Event Streams Module of IBM Cloud Pak for Integration in one in every of its factories as a prototype for real-time knowledge extraction. The info-generating software extracts knowledge—equivalent to elements manufacturing shifts, manufacturing portions, demand portions, rework portions, sequencing and different related manufacturing knowledge—from the MES system and sends them to the corresponding knowledge matter channel. Functions that extract knowledge can use the information straight by subscribing to the corresponding matter channel of Occasion Streams. The MI Skynet Kanban (Dashboard) system can choose specified desk fields for subsequent dashboard show and early warning evaluation.
By deploying Occasion Streams, the enterprise-level knowledge extraction resolution, Yan Feng can obtain “one-click” deployment, out-of-the-box use, zero downtime rolling upgrades, and at all times have the newest steady model of Kafka. Occasion Streams comes with a graphical operation interface, which requires little further abilities coaching. It additionally takes benefit of high-security, geo-replication, and enterprise-grade catastrophe restoration capabilities of the product. Furthermore, different functionalities like superior schema registries and wealthy Kafka connectors and extensible REST APIs make it simple to scale. As well as, IBM gives enterprise-level after-sales service, skilled session, and well timed troubleshooting, serving to the shopper to acquire the technical experience they want.
State of affairs 4: Notice clever manufacturing capability estimation and planning for core manufacturing gear with Resolution Optimization Module of IBM Cloud Pak for Information to scale back prices and enhance effectivity.
In auto elements manufacturing, injection molding is likely one of the necessary processes. Yanfeng Auto gives varied automakers with inside elements equivalent to instrument panels, which require a core gear of injection molding machine to supply. As a result of completely different specs of the instrument panels of varied car fashions, the manufacturing course of requires gear changeovers. For instance, when the fabric is switched from black to white, the gear must be cleaned; when switching from white to black, it doesn’t have to be cleaned. Switching from gold to crimson requires different further actions.
Tools switching is not going to solely contain price, however have an effect on manufacturing scheduling and stock administration. For instance, how do they decide the optimum financial batch measurement of various merchandise whereas decreasing stock prices? How do they steadiness the capability of a number of machines for a complete yr whereas assembly buyer wants? How can they estimate the capability of the machine to raised alter the plan, maximize the effectivity of the machine, enhance productiveness, and scale back extra time? How will they be certain that the plan could be applied in manufacturing and that adjustments could be responded to in a well timed method after they come？
Within the context of the continual growth and alter of demand for varied auto elements, and the truth that productiveness and manufacturing assets are very restricted, the standard manufacturing planning methodology is predicated on expertise and handbook calculation, which simply causes issues equivalent to low manufacturing effectivity, excessive stock price, heavy labor burden and extra. All of this might critically have an effect on the manufacturing effectivity of the corporate, so it’s essential to seek out new methods to develop affordable manufacturing planning and scheduling schemes.
After rounds of discussions with consultants from IBM CSM staff, IBM Specialists Lab and IBM China Growth Lab, IBM consultants developed a complete and agile resolution for Yanfeng Auto with Decision Optimization Module of IBM Cloud Pak for Data. The answer has two complementary elements—the general multi-machine, multi-month planning scheme and the single-month effective scheduling scheme.
The answer helps almost 100 employees in additional than 20 factories to plan the capability of a whole lot of injection molding machines with extremely detailed and particular plans. Every define plan is accompanied by an correct scheduling plan, which is extremely sensible for follow-up steerage for manufacturing. It is usually an agile resolution: planning a set of schemes solely takes a number of or dozens of minutes, significantly enhancing the responsiveness to future adjustments. If the client wants or manufacturing assets change, Yanfeng Auto can alter the plan at any time. Primarily based on an agile and customary platform, this business-friendly resolution could be simply tailored and scaled to different manufacturing services and different comparable areas.
The IBM CSM staff has accompanied Yanfeng Auto on its journey of digital and clever transformation for 2 years: from the preliminary realization of computerized conversion of exterior orders to inside orders; from fixing the issue of high-speed knowledge transmission in department factories world wide to the headquarters; from changing its open-source device with an IBM enterprise device constructed on open supply to simplify its IT operational complexity for high-availability knowledge extraction, to the newest AI-powered options to comprehend manufacturing capability estimation and planning for its core manufacturing gear. From knowledge integration and administration to making use of AI to its enterprise course of and planning, Yanfeng Auto has been actively co-creating with IBM technical and enterprise consultants to show applied sciences to tangible enterprise values.
Yanfeng Auto is likely one of the business pioneers in China to deal with enterprise challenges with a “data-first” technique. Yanfeng Auto can also be the pioneer shopper of IBM in China that has been working carefully with IBM to co-create first-of-a-kind scenario-based options with IBM Cloud and AI applied sciences.
About Yanfeng Auto
Yanfeng Auto Worldwide Automotive Expertise Co., Ltd. (known as “Yanfeng Auto”) is a worldwide automotive elements provider, dedicated to offering carmakers and different customers with inside and seating options that meet the wants of at the moment’s and tomorrow’s driving, redefining the way in which you loosen up, work and play within the automobile. Headquartered in Shanghai, the corporate has 9 R&D bases, greater than 4,200 R&D groups, greater than 240 factories and technical facilities in 20 nations world wide, and greater than 55,000 staff worldwide, offering world car producers with the design, improvement and manufacture of auto elements merchandise. With product innovation and forward-looking analysis, Yanfeng Auto will assist automakers discover the long run, carry higher human-car interplay expertise to world auto shoppers, and actively promote the evolution of automobile driving expertise.
