News

Business Engineering Corporation (Chiyoda-ku, Tokyo; President: Masakazu Haneda; hereinafter "B-EN-G") announced today that it has started to support Suzuyo & Co.,Ltd. (Shizuoka City; President: Kenichiro Suzuki; hereinafter "Suzuyo"), a major general logistics company, by building a data mining system using natural language analysis technology to enhance its safety management process and to establish its operation. The company has started to provide support for the establishment of a data mining system using natural language analysis technology to improve safety management processes.
In 2018, Suzuyo introduced B-EN-G's iPad-based software "mcframe RAKU-PAD" to digitize "Hiyari-Hatto", "Accident Reporting", "Risk Assessment", and "Patrol Activities", which had been operated on paper. The data accumulated from the distribution centers located across the country showed that the degree of achievement of "safety" and "quality" targets varied from distribution center to distribution center, and it also revealed that there were distribution centers that repeatedly reported similar near-misses and accidents.
Therefore, we asked B-EN-G to analyze the data with the goal of preventing accidents by analyzing the accumulated data in natural language to eliminate the variation in awareness and countermeasures by managers. The results showed that natural language analysis technology could be useful in upgrading the safety quality management process by searching for accident risks, deriving the effectiveness of countermeasures, and conducting a PoC. Based on the results, we started to construct a data mining system.

What can be achieved with the data mining system
This data mining system will realize the following

• You can find documents with similar content, check for recurring events, and suggest preventive measures.
• You can find examples of effective countermeasures and deploy them to other distribution centers.
• The degree of risk can be suggested from keywords that frequently appear in the “contents” and “countermeasures” of the form.
• You can understand the number and percentage of near misses and accidents by experience and chronologically.

By utilizing data mining systems in daily safety and quality control activities, it becomes possible to make quick and accurate decisions based on data (facts) rather than measures that emphasize empirical rules. Specifically, similar documents can be immediately identified from a large number of past documents, reducing the workload when formulating new countermeasures, and providing guidance and education based on decisions based on numerical values rather than experience. You will be able to.

The data mining system uses Microsoft Azure as the data analysis platform, SAS Viya as the analysis tool, and Power BI as the visualization tool.

■Suzuyo's future policy
We will establish data-driven management as an organization by training personnel who can utilize the newly constructed data mining system at distribution centers and continuing to promote activities that utilize data. We also aim to utilize the accumulated data in other fields, such as improving profitability and converting logistics data into value (value creation).
B-EN-G will continue to provide all kinds of support services to help Suzuyo improve its safety and quality control processes.

■Comment from Mr. Kawai, Suzuyo 3PL Business Promotion Office Manager
At our company, we have been operating many of our safety and quality activities using RAKU-PAD since 2018. For this reason, various types of safety and quality data have been accumulated, and by analyzing the regularity, causality, and correlation of this data and continuing to obtain suggestions that lead to preventive activities, it is possible to improve safety and quality (accidents and errors). We hope to improve the quality of safety and quality activities (shipping prevention) and safety/quality activities.
One of our business challenges is to realize safety and quality control through data mining. Currently, decisions are made based on safety measures that emphasize empirical rules and information and evidence obtained through data analysis centered on Excel operations, but it is expected that decisions will be made more quickly and more accurately. Therefore, we asked B-EN-G to build a system that would be able to formulate more accurate countermeasures by linking the data stored in RAKU-PAD and using natural language analysis and machine learning. We look forward to continued support from B-EN-G in establishing analysis and operation and maintenance using this system.

■About Business Engineering Corporation (B-EN-G)
Since Business Engineering first introduced SAP ERP in Japan in the early 1990s, we have been supporting the digital transformation of customers, mainly in the manufacturing industry, with IT. We have a rich track record in consulting and support services ranging from IT planning to system construction, implementation, and operation, as well as sales and implementation of our in-house developed packaged software "mcframe." In addition, we utilize data accumulated from core business systems (ERP), supply chains (SCM), IoT, etc. to help improve system sophistication and Kaizen activities. We have five overseas subsidiaries in China (Shanghai), Thailand (Bangkok), Singapore, Indonesia (Jakarta), and America (Chicago).
For details on Business Engineering Corporation https://www.b-en-g.co.jp/ Please refer to the.

■B-EN-G data analysis efforts
For over 20 years, B-EN-G has provided implementation services for ERP (core business systems), MES (manufacturing execution management systems), LIMS (quality testing management systems), SCM planning systems, and various IoT products. We have been providing this. DcX Business Promotion Department is a specialized organization responsible for "data science" that combines data accumulated in April 2020 and various external data, handles data according to purposes, and derives insights using statistics, machine learning, AI, etc. (Data-centric-Transformation).

Please see below for B-EN-G's DcX support services.
https://www.b-en-g.co.jp/jp/solution/dm/dcx.html
Please see below for general services that support B-EN-G's data-driven management.
https://info.b-en-g.co.jp/lp-data-chain

■About Suzuyo Co., Ltd.
As a comprehensive logistics company, we leverage our strengths in on-the-ground capabilities, problem-solving abilities, and outstanding expertise to improve our customers' supply chains, with a diverse network of 140 bases in Japan and over 140 countries around the world, centered around Shimizu Port. We provide comprehensive proposals ranging from planning logistics strategies to system construction and operation to optimize the entire system. We are also actively working to build "sustainable logistics" and provide transportation services that reduce environmental impact.
Detail is https://www.suzuyo.co.jp/ Please refer to the.

*Company names, product names, etc. mentioned in this news release are registered trademarks or trademarks of each company.