Process Artz Co. Ltd. Product Lineup

With the arrival of the SDV (Software-Defined Vehicle) era, which changes the environment of quality data management, the core tool SPC of IATF 16949 is receiving more attention than ever before. The acceleration of information transmission brought about by connected cars makes the standardization of SPC (Statistical Process Control) data crucial. Until now, the introduction of high-functionality SPC tools was merely a matter of convenience within the company. However, due to the once-in-a-century transformation in the automotive industry, it has shifted to being an issue for the entire supply chain.

• Business Intelligence and Data Analysis

We will introduce the changes brought about by the introduction of INDEQS. The multi-functional uploader i-Collector can simultaneously import multiple file formats and automatically register them in the INDEQS database. Once set up, it monitors data folders in the background on PCs or servers and imports new data files. i-Analyzer allows for deeper data exploration by changing the perspective according to the situation, such as "I want to investigate the quality trends of processes divided by equipment" or "I want to examine the defect rate by lot." [Overview] ■ Simultaneously imports multiple file formats and automatically registers them in the database ■ Enables deeper data exploration by changing perspectives according to the situation ■ Quickly shares facts and predictions based on rules across the board ■ Real-time viewing of dynamic reports with flexible perspective changes *For more details, please view the PDF data from "Catalog Download" or feel free to contact us.

• Other Software

This is a continuation of the previous Vol. 5 "Data Structures Suitable for Agile Manufacturing." In quality control, when a defect occurs in a specific inspection item, it is not enough to focus solely on the single data point where the defect occurred. As mentioned previously, it is also important to check the data with attention to points such as: - "Does it affect other products manufactured using the same equipment?" - "Are there any impacts on parts manufactured in the time period before and after the occurrence of the out-of-tolerance?" - "Could the change in the inspection jig, rather than the product itself, be influencing the results?" To maintain stable quality, it is insufficient to merely identify the "point" of non-conforming data. It is necessary to adopt a broader perspective and capture the data as "lines" or "surfaces" by examining the data of other parts manufactured with the same equipment or parts produced during the same time period from different angles. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.*

• Other Software

Agile in agile manufacturing means "nimble" or "quick." In the manufacturing industry, it refers to the ability to rapidly adapt production to changing market needs and customer demands. This includes transforming traditional dedicated lines into general-purpose machines, creating processing cells that can perform a variety of operations simply by changing jigs and tooling, and designing parts with a modular structure that allows for the assembly of different products through reconfiguration. These innovations are part of agile manufacturing. Of course, data for quality management must also be able to quickly adapt to changes in the production process in an agile manufacturing environment to ensure continuous use. *For more details, please refer to the related links. Feel free to contact us for more information.*

• Other Software

In the previous Vol.3, I mentioned that clarifying the purpose of data utilization at an early stage is of utmost importance. This time, I will discuss where to start and in what order to proceed. There are many common issues among companies when it comes to establishing a quality data management system. Below are some common inquiries that arise during implementation: - Some of the devices we want to utilize data from are outdated models that cannot output digital data. - There is not enough budget to cover data from all inspection and measurement equipment. - We are unsure what kind of analysis we should conduct. *For more details on the column, you can view it through the related links. Please feel free to contact us for more information.

• Other Software

The "i-Analyzer" is a full browser-based quality data analysis software that provides smart quality data analysis features. It smartly manages the vast inspection and measurement data used in mass production processes. Various conditions can be set, such as process capability, stability of control charts, and the presence of out-of-tolerance data, to comprehensively assess the pass/fail criteria of inspection characteristics. It is equipped with tools necessary for efficient management of large data sets, including stratified display, data alignment by management number, and programmable trend management functions in control charts. Despite being browser-based software, it can operate on cloud servers, on-premise servers, or standalone PCs. Since software installation on individual user (client) PCs is not required, it significantly reduces the hassle of version management. 【Features】 ■ Browser-based ■ Advanced inspection characteristic comparison features ■ Event input functionality ■ Advanced filtering capabilities ■ Complete essential charts for quality management *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

In the automotive industry, maintaining and improving quality and reducing defective products are crucial factors that influence customer satisfaction and corporate competitiveness. Even minor anomalies in the manufacturing process can lead to large-scale recalls or a decline in brand image. The i-Analyzer smartly manages vast amounts of inspection and measurement data and assists in identifying the causes of defects through AI analysis. With process capability evaluation, anomaly detection using control charts, and advanced filtering functions, it helps suppress the occurrence of defective products and enhances the efficiency of quality management. 【Usage Scenarios】 - Analysis of quality data in the manufacturing process - Identification of the causes of defects - Evaluation of process capability - Strengthening of quality management systems 【Effects of Implementation】 - Cost reduction through the reduction of defective products - Increased customer satisfaction through quality improvement - Rapid decision-making based on data - Streamlining of quality management operations

• Business Intelligence and Data Analysis

In the mechanical industry, process optimization is essential for improving the efficiency of manufacturing processes and enhancing quality. Accurately assessing process capability and identifying issues are crucial for reducing defects, increasing productivity, and cutting costs. The i-Analyzer smartly manages inspection and measurement data and is equipped with the analytical functions necessary for process capability evaluation. 【Usage Scenarios】 * Quality control in manufacturing processes * Analysis of the causes of defects * Continuous monitoring of process capability 【Benefits of Implementation】 * Objective process evaluation based on data * Early detection and improvement of quality issues * Increased production efficiency

• Business Intelligence and Data Analysis

The "i-Analyzer" is a full browser-based quality data analysis software that provides smart quality data analysis features. It smartly manages the vast amounts of inspection and measurement data used in mass production processes. Various conditions can be set, such as process capability, stability of control charts, and the presence of out-of-tolerance data, to comprehensively determine the pass/fail status of inspection characteristics. Additionally, it is equipped with tools for efficiently managing large amounts of data, including stratified display, data alignment by management number, and programmable trend management functions in control charts. 【Features】 ■ Browser-based ■ Advanced characteristic comparison functions ■ Event input functions ■ Advanced filtering functions ■ Complete essential charts for quality management *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

Are you struggling with managing an overwhelming number of inspection items? i-Board is equipped with a specially designed dashboard to manage vast amounts of quality data, setting it apart from typical BI tool dashboards. It achieves an extraordinary data reading speed capable of handling the immense number of inspection items and inspection data in the automotive industry, and it comes with a comprehensive set of tools for quality data management as standard. 【Features】 ■ Browser-based, no installation required on individual PCs ■ Sensitive detection of process variations through trend monitoring and alarm display on control charts ■ Easy operation on-site with just click actions after setup

• Business Intelligence and Data Analysis
• Data Logger

In the manufacturing industry, improving yield is essential for enhancing profitability. To suppress the occurrence of defective products and increase production efficiency, visualizing quality in the process is crucial. It is necessary to grasp the ever-changing data and implement early detection and countermeasures for problems. i-Board strongly supports yield improvement as a dashboard specialized in quality data management. 【Usage Scenarios】 - Real-time monitoring of quality data in the manufacturing process - Early detection and countermeasures for trends in defects - Yield improvement through process enhancement 【Effects of Implementation】 - Early detection of anomalies through control chart alerts - Rapid understanding of process variations - Reduction in the rate of defective products

• Business Intelligence and Data Analysis
• Data Logger

To achieve a stable process, it is important to quickly extract and centrally monitor the problematic processes and inspection characteristics. Discovering the issues related to the processes and inspection characteristics that need attention from the vast amount of constantly changing data requires significant effort. i-Board is an automatically updated quality management dashboard that automatically updates data on key management items narrowed down from a quality control perspective. 【Features】 ■ Browser-based, no installation required on individual PCs ■ Sensitive detection of process variations through trend monitoring of control charts and alarm displays ■ Easy operation on-site after setup with just click actions

• Business Intelligence and Data Analysis
• Process Control System
• Data Logger

i-Sense enables real-time monitoring of measurement data. It can import files from sensors and measuring devices in formats such as CSV, EXCEL, and JSON in real time, updating graphs and performing alarm assessments. Alarms indicate not only out-of-tolerance values for individual measurements and warnings but also alarms related to the control limits of control charts. 【Features】 ■ Real-time monitoring of measurement data ■ Quality alarm management function ■ Event input function ■ Complete basic quality management charts such as line graphs, histograms, and control charts *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis
• 3D measuring device
• Data Logger

The "i-Sense" allows for real-time monitoring of measurement data. It immediately reads data files after measurement, updating graphs and triggering alarms. The alarms display not only tolerances for individual measurement values and warnings but also alarms related to the control limits of control charts. 【Features】 ■ Real-time monitoring of measurement data ■ Quality alarm management function ■ Event input function ■ Complete basic quality management charts *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

The "i-Report" can collect data files from three-dimensional measuring machines and output them to an EXCEL template. It has a compact design and operates on standard office PCs. 【Are you facing these issues?】 ■ The formats differ by manufacturer, making it impossible to aggregate data from measuring machines. ■ Different EXCEL templates are required for each submission destination, resulting in time-consuming data transcription. ■ Forms change frequently, so a fixed report automation system cannot accommodate them. ■ While data is retained, searching through past data takes time. ■ EXCEL files are scattered, and I want to manage them in a database but lack the knowledge. Born from the voices of many measuring machine users, i-Report provides a "just right semi-automatic" solution for a small number of diverse report forms.

• 3D measuring device
• Data Logger
• Recorders

The i-Report can collect data files from measuring instruments and output them to an EXCEL template. It has a compact design and operates on standard office PCs. 【Are you facing these issues?】 ■ The formats differ by manufacturer, making it impossible to consolidate data from measuring instruments. ■ Different EXCEL templates are required for each submission destination, leading to time-consuming data transcription. ■ Forms change frequently, so a fixed report automation system cannot accommodate them. ■ While data is retained, searching through past data takes time. ■ EXCEL files are scattered, and I want to manage them in a database but lack the knowledge. Born from the voices of many measuring instrument users, i-Report provides a "just right semi-automated" solution for a small number of diverse report forms.

• 3D measuring device
• Data Logger
• Recorders

The "i-Collector" automatically registers various iNDEQS standard data files (JSON) and CSV data into a database. By changing the key field settings, it is possible to create multiple database structures from the same data. Up to 10 instances can manage different upload conditions simultaneously. 【Features】 ■ Communication is possible using a user-selected port number (enabling more secure data collection) ■ Multiple upload conditions can be executed simultaneously ■ Uploading to both cloud and on-premises databases can be done at the same time ■ Changes to the data structure can be made even after implementation by modifying key field settings *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

The "i-Report" is an entry model ideal for data collection and management. Despite its compact design, it is equipped with features for aggregating inspection data and outputting data to EXCEL templates. It is perfect for small-scale quality data management using EXCEL. 【Features】 ■ Simple operation with no need for a dedicated IT administrator ■ Flexible support for complex EXCEL templates ■ Quick response to template changes ■ Advanced filtering capabilities *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

The "i-Analyzer" is a full browser-based quality data analysis software that provides smart quality data analysis capabilities. It smartly manages the vast amount of inspection and measurement data used in mass production processes. Various conditions such as process capability, stability of control charts, and the presence of out-of-tolerance data can be set to comprehensively determine the pass/fail judgment of inspection characteristics. Additionally, it is equipped with tools for efficiently managing large amounts of data, including stratified display, data alignment by management number, and programmable trend management functions in control charts. 【Features】 ■ Browser-based ■ Advanced characteristic comparison functions ■ Event input functions ■ Advanced filtering functions ■ Complete essential charts for quality management *For more details, please refer to the related links or feel free to contact us.

• Business Intelligence and Data Analysis

Examples of system configurations for each software In addition to those listed here, various configurations are possible.

• Business Intelligence and Data Analysis