ウイングアーク１ｓｔ List of Products and Services

"MotionBoard" is a BI dashboard that aggregates multiple data sources and visualizes them in real-time. Based on the information output in various formats, you can smoothly decide on the next course of action. Additionally, we offer two types of delivery formats: a packaged version and a cloud version. You can choose according to your environment and requirements. 【Features】 ■ Available in two types: packaged version and cloud version ■ Visualizes various data collectively, leading to valuable actions ■ Goes beyond traditional BI with diverse expressions, transforming any data into the desired image ■ Achieves optimized data utilization for various industries and job roles ■ Realizes data-driven strategies for over 3,500 companies across all industries *For more details, please download the PDF or feel free to contact us.

• Other information systems

"Dr.Sum" is a data analysis platform that encompasses all the necessary functions for companies to utilize their data. It centralizes data that has been accumulated separately in systems and databases for high-speed aggregation. It organizes data into a more manageable format and provides an environment for data utilization. We offer two types of delivery formats: a package version and a cloud version. You can choose according to your environment and requirements. 【Features】 ■ Available in two types: package version and cloud version ■ Allows free aggregation and analysis with no coding ■ Processes large amounts of data effortlessly with a patented high-speed aggregation database ■ Can be used as an analytical database in conjunction with major BI tools ■ Capable of real-time acquisition and integration of data generated on-site, such as sensor data *For more details, please download the PDF or feel free to contact us.

• Other information systems

This document covers DX (Digital Transformation) in the manufacturing industry. It introduces the three steps to start DX in manufacturing, on-site challenges in advancing DX, and the framework "CI-Loop" that leads to successful data utilization. Additionally, it includes successful case studies of utilizing simple IoT and frameworks. Please take a moment to read it. [Contents] ■ What should manufacturing companies start with for DX? ■ On-site challenges in advancing DX ■ "Simple IoT" that enables data collection ■ What is the framework "CI-Loop" that leads to successful data utilization? ■ The six steps of CI-Loop *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document introduces effective data utilization for standardizing operations. It includes factors that cause quality variation and the "four types of data" that should be collected and visualized to eliminate dependency on individuals. Additionally, it presents systems capable of data collection, visualization, and analysis, namely "Facteye" and "MotionBoard." [Contents] - "Quality Variation" Threatening the Manufacturing Industry - Factors Causing Quality Variation - Effective "Data Utilization" for Standardizing Operations - "Four Types of Data" to Collect and Visualize to Eliminate Dependency - Methods to Achieve Data Collection, Visualization, and Analysis *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document introduces methods for utilizing data to improve profitability. It includes the business effects of understanding inventory and costs, as well as ways to track inventory by item using data. Additionally, it discusses how to overcome the barriers to data utilization that complicate cost analysis. We encourage you to read it. 【Contents】 ■ The key to enhancing profitability is "inventory" and "cost" ■ The business effects of understanding inventory and costs ■ The "eternal challenge" regarding inventory ■ How to track inventory by item using data ■ The "barriers to data utilization" that complicate cost analysis *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document provides an introduction to data utilization for manufacturing DX (Digital Transformation). In the manufacturing industry, how should we approach the promotion of DX? We focus on the first two steps and introduce specific methods and examples. Additionally, we also include a product introduction for the BI tool "MotionBoard," which analyzes and visualizes aggregated digital data. We encourage you to read it. 【Contents (partial)】 ■ Current state of DX in Japan's manufacturing industry ■ How should DX be promoted? Three steps to achieve DX ■ What is DX in manufacturing? - Applying the three steps to the manufacturing industry ■ Specific measures for data collection 1: Data collection from legacy equipment and control devices ■ Specific measures for data collection 2: Data collection from paper media *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document provides an overview of digital twins, examples of their use, and detailed steps for implementation. It includes sections such as "What is a Production Digital Twin?", "What Applications Can a Production Digital Twin Be Used For?", and "Three Steps to Achieving a Digital Twin". Additionally, it introduces the features of the BI tool "MotionBoard," which analyzes and visualizes aggregated digital data. [Contents (partial)] ■ What is a Production Digital Twin? ■ What Applications Can a Production Digital Twin Be Used For? ■ Three Steps to Achieving a Digital Twin ■ What is Data Digitization? ■ Successful Case Studies in Data Utilization *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document explains the key points of utilizing data to increase productivity and improve quality. By incorporating IoT technology to efficiently collect data and visualizing it to quickly grasp trends and situations, we can identify measures for business improvement and productivity enhancement. We have included challenges in utilizing data in manufacturing and methods for leveraging unstructured data, so please take a moment to read it. [Contents] ■ What are the challenges of utilizing data in manufacturing? ■ How to utilize unstructured data? ■ STEP 1: Digitizing daily paper work reports ■ STEP 2: Collecting and analyzing equipment data *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document discusses the effective use of IoT in production sites within the process manufacturing industry. It introduces the visualization of equipment operation monitoring using our "MotionBoard," material flow cost accounting (MFCA), and the optimization of maintenance cycles and costs using "MESOD." By "efficiently collecting data using IoT technology" and "visualizing trends and situations for quick understanding," we can identify measures for business improvement and productivity enhancement. [Contents] ■ Data collection and accumulation (Dr.Sum, SPA, IoT solutions) ■ Visualization of equipment operation monitoring ■ Material flow cost accounting (MFCA) ■ Optimization of maintenance cycles and costs ■ Quality control and quality loss analysis *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document introduces case studies of data utilization that have implemented WingArc1st Inc.'s BI dashboard "MotionBoard" and data analysis platform "Dr.Sum." It includes examples of maximizing overall equipment efficiency through visualization, as well as cases that achieved the visualization of management information and production status. We support self-driven data utilization. Please take a moment to read through it. 【Featured Case Studies】 ■ Yamaha Corporation (Digital Twin) ■ NGK Spark Plug Co., Ltd. (Smart Factory) ■ Yamazaki Mazak Corporation (Smart Factory) ■ Nanjo Equipment Industry Co., Ltd. (Electronic Form Tool Integration) ■ Toyo Seikan Group Holdings, Ltd. (Visualization of Equipment Operating Status) *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document introduces the utilization of field report data. It includes features of "i-Reporter" and "MotionBoard," as well as examples of real-time aggregation and sharing of reports between various locations (stores). Data entered from tablets on-site is aggregated immediately, visualized in real-time, and further shared company-wide through report output and notifications. It achieves paperless operations and real-time monitoring. Please take a moment to read it. [Contents] ■ Do you have these challenges? ■ Feature introduction ■ Use cases ■ Implementation examples *For more details, please refer to the PDF document or feel free to contact us.

• Other information systems

This document introduces digital twins. It explains the benefits, reasons for their growing attention, challenges of factory simulation using digital twins, and the outcomes that can be achieved. Additionally, it includes information on the combination of the BI tools "MotionBoard" and "Dr.Sum" with simulation tools. [Contents (partial)] ■ Benefits of digital twins ■ Reasons for the growing attention to digital twins: Changes in data utilization needs ■ Challenges of factory simulation using digital twins ■ Achieving digital twins with BI tools × simulation tools ■ Production simulation usable in daily production management and on-site management *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

"Glosapo" is a total support service that facilitates the easy implementation of DX in the manufacturing industry and supports growth. We provide remote visualization of equipment operating status, expert analysis, and regular advice. This leads to DX that enhances productivity and fosters growth. Through remote advice, you can not only engage in specific improvement activities but also learn effective improvement methods. 【Features】 ■ Comprehensive provision of IoT implementation and consulting ■ Effective advice from experts ■ Awareness reform on-site and leadership development for the future *For more details, please download the PDF or feel free to contact us.

• Other services

This document explains how to promote the transformation into a smart factory that "leverages data." It introduces helpful insights for realizing a smart factory through data utilization, including "Why is the transformation to a smart factory not progressing?", "Three steps to advance the transformation to a smart factory," and "Successful case studies of smart factories." Additionally, it includes effective data utilization solutions for smart factory transformation. [Contents (partial)] ■ What is a smart factory ■ Current initiatives and main achievements of Japanese companies ■ Reasons why the transformation to a smart factory is not progressing ■ Key digital technologies for smart factories ■ Steps to realize a smart factory *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document introduces WingArc1st Inc.'s data utilization solutions. It includes "MotionBoard," which supports the formulation of actions towards net zero and TCFD disclosure, and "invoiceAgent," which digitizes analog data such as invoices using AI OCR. We also present functional features and examples of carbon neutrality, making it a useful reference. [Contents (partial)] ■ Do you have these challenges? ■ Overview of WingArc1st's solutions ■ MotionBoard ■ invoiceAgent ■ Dr.Sum *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document explains paperless operations. It introduces the challenges associated with paper-based tasks, the benefits of going paperless, and specific use cases in production management and quality control. Additionally, it includes success stories and an introduction to our product "MotionBoard." Please use this information when considering implementation. [Contents] ■ About paperless operations ■ Specific use cases ■ Introduction of success stories ■ Introduction of MotionBoard *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of Toyota Motor East Japan Co., Ltd. adopting the BI dashboard "MotionBoard." The company faced challenges in utilizing data in the manufacturing field, including the workload of managing thousands of handwritten management forms and managing painting quality. To address this, they implemented the report digitization tool "i-Reporter" from Shimtops and our product, significantly streamlining the input tasks for management forms and automatically displaying trend graphs by vehicle type and paint color in the painting process, making it easier to grasp changes. [Challenges] ■ There are thousands of management forms, many of which are handwritten, resulting in a high workload. ■ Analyzing color measurement data trends manually is time-consuming and labor-intensive, making it difficult to deploy. ■ Managing production plans and actual results is also paper-based, leading to increased effort for timely information sharing. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of the implementation of the BI dashboard "MotionBoard" at Yamazaki Mazak Corporation. The company needed a logistics management system between factories due to the reorganization of its main factory (Minokamo Plant). As a result, they developed a unique logistics management BI called "ID TRACKING PLUS" that visualizes the location, quantity, and dwell time of all components using our product. This reduced the effort required for personnel to search for components, improved productivity, and also contributed to optimizing inventory and thorough asset management. [Challenges] - Logistics system management is necessary for conducting processing and assembly in separate factories. - The complexity of parts management in low-volume, high-variety production sometimes led to delays in finding parts. - There was a discrepancy between human reports and actual conditions. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of Yamaha Corporation adopting the BI dashboard "MotionBoard." The company has been advancing IT and IoT in its factories since the 2010s, but because each factory was working independently, the data collected and the methods of data collection varied, making it impossible to implement company-wide data utilization even with the progress of IT. After implementation, productivity in the sax assembly process improved by 16% in just six months. [Challenges] - We want to continuously improve QCD (Quality, Cost, Delivery) + SE (Safety, Environment). - We want to correct the variations in manufacturing processes and production numbers that occur in on-site management. - We want to manage production factories located both domestically and internationally smoothly from a distance. - We want to efficiently train personnel by properly inheriting craftsmanship. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of Yanmar Construction Equipment Co., Ltd., which implemented the BI dashboard "MotionBoard" and the aggregation and analysis platform "Dr.Sum." The company's Quality Assurance Department felt that utilizing data from other departments is essential for achieving effective quality assurance, leading to the adoption of these products. After implementation, the company was able to achieve company-wide data integration, allowing each individual to visualize the integrated data and utilize it while sharing it with others. [Case Overview] ■ Challenge: Utilizing data from other departments is essential for achieving effective quality assurance. ■ Benefits: - Significantly improved speed of aggregation and visualization. - Achieved company-wide data integration. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of the implementation of the front database "Dr.Sum" and the BI dashboard "MotionBoard" at Nippon Tokushu Tōgyō Co., Ltd. The company has been acquiring various production equipment data from IoT devices; however, the challenge has been that the collection and processing of this data takes time, preventing it from being utilized effectively. By implementing our products, they have promoted data utilization on-site. They are now able to visualize actual performance and equipment operating status against production plans, allowing for the sharing of causes and countermeasures during the morning meetings the following day. 【Case Overview】 ■ Challenges - There is a need for high-precision analysis to improve productivity and identify bottlenecks. - It takes time to grasp operating conditions, hindering timely improvements on-site. ■ Effects - Detailed data analysis of output and operating rates has become possible, leading to the resolution of bottlenecks. - Real-time visibility of numbers has contributed to a change in awareness on-site. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of the implementation of the BI dashboard "MotionBoard" at Honda R&D Co., Ltd. Suzuka Plant. The company began visualizing data with this product in 2019, coinciding with the launch of a new production line. By being able to take immediate action based on changes in quality data, they aimed to accelerate the PDCA cycle. The product has been utilized in various scenarios, including production performance planning, workflow charts, work flow status, traceability, and visualizing change points on a timeline, leading to significant results such as the reduction of 800 reports, 800 hours/month in labor, and the achievement of various target figures. [Challenges] - Various tools were introduced but did not become established. - There was a lack of understanding of the necessity at the site. - Without the site taking the initiative to create and retain know-how, continuous operation and evolution cannot progress in the future. *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis

This document introduces the concept and methods of quality management, as well as the necessity of utilizing data in quality management within the manufacturing industry. It includes details about the tasks involved in quality management, implementation methods, the four essential "M"s, and case studies. It also explains the necessity of quality management and its differences from quality assurance. Additionally, it features "MotionBoard," which supports the essential data utilization in quality management, making it a useful reference. 【Contents (partial)】 ■ What is Quality Management ■ Tasks of Quality Management ■ Implementation Method of Quality Management (1) PDCA ■ Implementation Method of Quality Management (2) Industrial Engineering (IE) ■ Implementation Method of Quality Management (3) QC Seven Tools *For more details, please download the PDF or feel free to contact us.

• Business Intelligence and Data Analysis