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FLiPS is a facility maintenance management system developed with the aim of providing a user experience similar to that of Excel, and it is particularly recommended for customers facing the following challenges: - A user-friendly interface that is easily accepted on-site and the desire to integrate with ERP systems. - The need to centrally manage the quality of manufactured products and facility maintenance. - The desire to visualize the costs, schedules, and actual results necessary for facility maintenance in a calendar format. - The need to understand the frequency and number of unexpected failures and to establish maintenance plans that reflect actual conditions. - The desire to know the optimal cycle for regular inspections and replacements. - The need to streamline budget formulation related to the purchase and maintenance of equipment. Additionally, it has recently been integrated with various IoT-related products, enabling the following capabilities: 1. Automatically creating and notifying maintenance and inspection plans to managers and workers by acquiring sensor data and predicting when thresholds will be exceeded. 2. Integrating with tablet-compatible systems (such as i-Reporter) to aggregate and visualize information from the field.

◆Do you have any of the following concerns?◆ - You have collected failure information but don't know what to do with it. - You want to effectively utilize the collected failure information. - You want to conduct your own analysis based on the failure information but don't know the best method. - You want to connect the results of your analysis to actions that will reduce opportunity loss. ◆Organizing Failure Information Data and Building a System◆ Our company addresses the above concerns by: 1. Clarifying the problem awareness. 2. Presenting and selecting the key performance indicators (KPIs) that should be calculated. 3. Creating a database of failure information. 4. Conducting analysis using the current failure data. 5. Considering actions derived from the analysis results. 6. Building a system to carry out steps 1 to 5. We assist in organizing failure information and building a system that allows customers to select actions that are likely to reduce defects and failures leading to opportunity loss based on the analysis results. The above content assumes that failure information has been collected in advance, but we can also accommodate situations where failure information is extremely limited or not collected. (※1) ※1: Please contact us separately if you would like to see detailed materials.

◆Do you have any of the following concerns?◆ - You have collected failure information but don't know what to do with it. - You want to make good use of the collected failure information. - You want to analyze the failure information yourself but don't know the best method. - You want to connect the results of your analysis to actions that reduce opportunity loss. ◆Organizing Failure Information Data and Building a System◆ Our company addresses the above concerns by: 1. Clarifying the awareness of the problem. 2. Presenting and selecting the key performance indicators (KPIs) that should be calculated. 3. Creating a database of failure information. 4. Conducting analysis using the current failure data. 5. Considering actions derived from the analysis results. 6. Building a system to carry out steps 1 to 5. We assist in organizing failure information and building a system that allows customers to select actions that are likely to reduce defects and failures leading to opportunity loss based on the analysis results. The above content assumes that failure information has been collected in advance or can be collected, but we can also accommodate situations where failure information is extremely limited or not gathered. (*1) *1: Please contact us separately if you would like to see detailed materials.

◆Do you have any of the following concerns?◆ - You have gathered failure information but don’t know what to do with it. - You want to make good use of the collected failure information. - You want to analyze the failure information yourself but don’t know the best method. - You want to connect the results of your analysis to actions that reduce missed opportunities. ◆Organizing Failure Information Data and Building a System◆ Our company addresses the above concerns by: 1. Clarifying the problem awareness. 2. Presenting and selecting the key performance indicators (KPIs) that should be calculated. 3. Creating a database for failure information. 4. Conducting analysis using the current failure data. 5. Considering actions derived from the analysis results. 6. Building a system to carry out steps 1 to 5. We assist in organizing failure information and building a system that allows customers to select actions that could reduce issues and failures leading to missed opportunities based on the analysis results. The above content assumes that failure information has been collected in advance or can be collected, but we can also accommodate situations where failure information is extremely limited or not gathered. (*1) *1: Please contact us separately if you would like to see detailed materials.

With the increasing interest in autonomous driving, the complexity of onboard systems is expected to rise, necessitating not only safety requirements but also security assessments. In Europe, security evaluations are already being conducted in parallel with safety assessments, and the attack tree method exists as a means to carry out security evaluations. The security threat analysis tool Attack Tree provided by Isograph Ltd. (UK) is designed to assist in assessing security vulnerabilities in software. For example, the following representations are possible: - Visual representation of how an attack can succeed - Representation of which attacks have the highest likelihood of success using probability distributions Furthermore, it is also possible to express indicators such as: - The method that has the lowest cost and highest probability of success for an attacker - The difficulty of executing the attack and whether special equipment is required Security assessment is a factor directly related to the safety of vehicles. By referencing the probabilities of threats identified using the Attack Tree within the functional safety Fault Tree, it becomes possible to conduct evaluations that consider both safety and threats.

◆Do you have any of the following concerns?◆ - You have collected failure information but don't know what to do with it. - You want to make good use of the collected failure information. - You want to analyze the failure information yourself but don't know the best method. - You want to connect the results of your analysis to actions that reduce lost opportunities. ◆Organizing Failure Information Data and Building a System◆ Our company addresses the above concerns by: 1. Clarifying the problem awareness 2. Presenting and selecting the key performance indicators (KPIs) to be calculated 3. Creating a database of failure information 4. Conducting analysis using the current data 5. Considering actions derived from the analysis results 6. Building a system to carry out steps 1 to 5 We assist in organizing failure information and building a system that allows customers to select actions that could reduce defects and failures leading to lost opportunities based on the analysis results. The above content assumes that failure information has been collected in advance or can be collected, but we can also respond if there is extremely little or no collected failure information. (*1) *1: Please contact us separately if you would like to see detailed materials.

The "Anomaly Detection and Failure Prediction Solution through Data Mining" is a data mining service and system construction service provided by Wavefront Co., Ltd., which engages in the development and sales of software for electronic computers, analysis using software, design, and consultation. This document introduces a general image of service implementation and specific images that reflect the content we frequently receive inquiries about. 【Features】 ■ Anomaly detection and failure prediction ■ Maximization of operational efficiency ■ Optimization of maintenance costs and maintenance cycles ■ Quality improvement *For more details, please refer to the catalog or feel free to contact us.

This document introduces the relationship between failure rate, reliability, unreliability, and failure probability density, among other reliability information. There is a close relationship between reliability, unreliability, failure probability density, and failure rate (which can be viewed from different perspectives as needed); knowing one allows you to understand the other metrics. When managing failures using CMMS/EAM, it is possible to aggregate the number of failures over time. If the number of failures over time is known, the time dependence of failure rate, reliability, and unreliability can be understood. Weibull analysis is a method of failure analysis that leverages this characteristic. [Contents] - The relationship between failure rate, reliability, failure probability density, and unreliability - Detailed explanation of the diagrams - Summary *For more details, please refer to the PDF document or feel free to contact us.

This document introduces Weibull analysis. In Weibull analysis, the number of failures is used as input to determine the unreliability. Once the unreliability is known, the failure rate and reliability can also be determined. (Refer to the relationship between failure rate and reliability) To express the bias in the occurrence of failures, Weibull distribution is used in failure analysis. By using Weibull distribution, it has become possible to express the bias in the occurrence of failures, including the probability density of failure occurrences.

This document introduces examples of conducting reliability assessments for systems. By evaluating the reliability of a system, one can understand the overall reliability of the system and the importance of the components that make up the system. Methods for evaluating reliability include Reliability Block Diagram (RBD) analysis and Fault Tree Analysis (FTA). [Contents] ■ Reliability Block Diagram (RBD) analysis ■ Examples of system reliability assessment ■ Figures 1-6 ■ Considerations for maintenance ■ Development of maintenance plans *For more details, please refer to the PDF document or feel free to contact us.

The Availability Workbench is software designed to support the implementation of RCM (Reliability-Centered Maintenance) and RAMS analysis (Reliability, Availability, Maintainability, and Safety analysis). The Availability Workbench focuses on the failures of components (system systems) that make up plants and systems, using reliability engineering methods to assist with the following: - Quantitative evaluation of the availability of plants and systems - Development of maintenance plans aimed at eliminating causes of failure - Evaluation of the effectiveness of condition monitoring - Spare parts and workforce planning - Assessment of the lifecycle costs of plants and systems By using the Availability Workbench, it becomes possible to conduct Failure Mode, Effects, and Criticality Analysis (FMECA) and to predict reliability, availability, and lifecycle costs (LCC) with constraints on spare parts and other resources.

This document introduces the evaluation of systems (systems and subsystems) and management through CMMS/EAM. It covers issues encountered when applying Reliability Centered Maintenance (RCM), considerations for implementing RCM, reliability information, evaluation of reliability and availability at the system level, formulation of maintenance strategies, and management points in CMMS/EAM. [Contents] ■ Reliability Centered Maintenance ■ Issues when applying RCM ■ Considerations for implementing RCM and reliability information ■ Evaluation of reliability and availability at the system level and formulation of maintenance strategies ■ Management points in CMMS/EAM ■ Conclusion *For more details, please refer to the PDF document or feel free to contact us.

AiPOST is an information sharing and management system developed with the aim of systematizing the circulation of paper-based forms. It is particularly recommended for customers facing the following issues: - Wanting to share information that occurred on-site immediately, but having no means other than phone calls, resulting in no record being kept. - Wanting to circulate information related to events that occurred on-site, but having inconsistent methods among individuals, making it difficult to know where the information is. - Having made a work request but being unable to grasp the current status. - Distributing information via email, but finding it difficult to determine which information is relevant to them due to the variety of types. - Wanting to centrally manage inquiry information from customers and analyze it in Excel as needed. Additionally, there has been an increase in the use of AiPOST in conjunction with business systems and email, allowing for the following functionalities: 1. Sending email notifications when information or requests related to the user arrive. 2. Managing the progress of business operations on the AiPOST side, simplifying the status confirmation of requests and information distribution. 3. Treating AiPOST as an input terminal in conjunction with maintenance systems, allowing for overall management of equipment information within the maintenance system.

We support the construction of systems related to data collection and visualization, analysis, product improvement, optimization of operating conditions, and predictive maintenance by combining simulation technology, reliability evaluation, and equipment maintenance expertise. The main target equipment includes: - Various plants - Semiconductor manufacturing equipment - Air conditioning systems In this study, we will support the construction of systems by utilizing different tools and systems according to the customer's requests and objectives, such as: - 1D simulation software (1D CAE) - 3D simulation software (3D CAE) - Reliability and safety evaluation software - Statistical analysis software - Machine learning/AI software - IoT information collection infrastructure - Equipment maintenance management systems - Tablet systems Additionally, in conducting this study, we recommend starting small by narrowing down the target equipment.

AiPOST is an information sharing and management system developed with the aim of systematizing the circulation of paper-based forms. It is particularly recommended for customers facing the following issues: - Unable to grasp the current status after making a work request - Distributing information via email, but the types are varied, making it difficult to understand which information is relevant to them - Wanting to centrally manage inquiry information from customers and analyze it in Excel as needed Additionally, recently there has been an increase in the use of AiPOST in conjunction with business systems and email, allowing for the following: 1. Notifications via email when information or requests relevant to them arrive 2. Management of work progress on the AiPOST side, simplifying the status confirmation of requests and information distribution 3. Treating AiPOST as an input terminal in conjunction with maintenance systems, allowing for overall management of equipment information through the maintenance system.

Reliability Workbench is a tool based on reliability engineering used to evaluate and analyze reliability and safety assessments, as well as maintenance content for equipment, in accordance with functional safety. It has been adopted by many companies both domestically and internationally as a tool to evaluate the reliability and safety of equipment required by functional safety standards such as IEC61508 and ISO26262, with over 14,000 installations worldwide. Reliability Workbench is composed of modules for each function, addressing safety requirements such as those in ISO26262. For example: - Prediction: Failure rate calculations corresponding to various handbooks (such as SN29500) - Safety Assessment: Safety evaluations - Fault tree: Fault tree analysis - FMECA: Failure Mode, Effects, and Criticality Analysis and other modules as mentioned above. The main industries where it has been implemented are as follows: - Automotive - Railways - Aerospace - Plants - Industrial equipment

FLiPS is an asset management system developed with the aim of providing a user experience similar to Excel, and it is particularly recommended for customers facing the following challenges: - A user-friendly interface that is easily accepted on-site, with a desire for integration with ERP systems - The need to centrally manage the quality of manufactured products and the condition of equipment - The desire to visualize the costs, schedules, and actual results necessary for equipment maintenance in a calendar format - The need to understand the frequency and number of unexpected failures and to establish maintenance plans that reflect actual conditions - The desire to know the optimal cycle for regular inspections and replacements - The need to streamline budget formulation related to the purchase and maintenance of equipment Additionally, it is now integrated with various IoT-related products, enabling the following capabilities: 1. Automatically creating and notifying maintenance and inspection plans when sensor data indicates thresholds are likely to be exceeded, notifying both managers and workers 2. Integrating with tablet-compatible systems (such as i-Reporter) to aggregate and visualize information from the field.

FLiPS is a system that allows for centralized management of items required by the Pharmaceutical Affairs Law and medical device safety management guidelines, such as: - Start and end inspection checklists - Maintenance inspection planning sheets - Evaluation of maintenance inspections - Management of documents related to equipment - Repair records This system not only manages the above information but also allows for the output of reports and forms in any desired Excel format. If you use a tablet for maintenance inspection tasks, there is also a record of transferring input data from the tablet to FLiPS. Additionally, it is possible to manage items necessary for analysis using reliability engineering in conjunction.

FLiPS is a system that can centrally manage the following items required by the Green Management Promotion Manual. - Vehicle management - Maintenance inspection schedule - Evaluation and results of maintenance inspections - Management of documents related to various vehicles (maintenance procedures, maintenance inspection checklists, etc.) - Future vehicle introduction plans This system not only manages the above information but also allows for the output of reports and forms in any desired Excel format. If you use a tablet for maintenance inspection tasks, there is also the capability to reflect the input data from the tablet to FLiPS in real-time.

FLiPS is an equipment ledger management system developed with the aim of providing a user experience similar to Excel, and it is particularly recommended for customers facing the following challenges: - A user-friendly interface that is easily accepted on-site, with a desire for integration with ERP systems. - The need to centrally manage the quality of manufactured products linked to the equipment ledger. - The desire to visualize costs, schedules, and actual performance necessary for equipment maintenance in a calendar format. - The need to understand the frequency and number of unexpected failures to establish a maintenance plan that aligns with actual conditions. - The desire to know the optimal cycle for regular inspections and replacements. - The need to streamline budget formulation related to equipment purchase and maintenance management. Additionally, it has recently been integrated with various IoT-related products, enabling the following capabilities: 1. Automatically creating and managing maintenance and inspection plans by acquiring sensor data and notifying administrators and operators when thresholds are likely to be exceeded. 2. Integrating with tablet-compatible systems (such as i-Reporter) to aggregate and visualize information from the field.

AiPOST is an information sharing and management system developed with the aim of systematizing the circulation of paper-based forms. It is particularly recommended for customers facing the following issues: - Unable to grasp the current status after making a work request - Distributing information via email, but the types are varied, making it difficult to understand which information is relevant to them - Wanting to centrally manage inquiry information from customers and analyze it in Excel as needed Additionally, there has been an increase in the use of AiPOST in conjunction with business systems and email, allowing for the following functionalities: 1. Notifications via email when information or requests relevant to the user arrive 2. Managing the progress of tasks on the AiPOST side, simplifying the status checks and information distribution 3. Treating AiPOST as an input terminal in conjunction with maintenance systems, allowing for overall management of equipment information within the maintenance system.

Many companies have proposed maintenance methods utilizing large-scale data and AI (artificial intelligence/machine learning), and there are numerous reports on their effectiveness. However, with a few exceptions, the management of maintenance on-site is primarily conducted using various formats such as paper, Excel, Access, and PDF, and the information managed differs by department. Our company provides services to address the following objectives through the construction of equipment records: 1. We want to organize the ledger of data that serves as the foundational requirements for the introduction of a maintenance system. 2. We want to utilize the accumulated failure information on-site to establish inspection cycles that minimize costs. 3. We want to consider maintenance methods tailored to the situation, as even the same equipment may have different usage conditions and environments. 4. We want to create a risk matrix from accident and failure information. 5. We want to graph the relationship between maintenance items, reliability, and costs to serve as a guideline for planning. The steps for constructing equipment records are as follows: 1. Digitization of various information. 2. Organization and classification of the digitized information. 3. Implementation of various analyses according to objectives. 4. Addition of management items based on the analysis results.

Many companies have proposed maintenance methods utilizing large-scale data and AI (artificial intelligence/machine learning), and there are numerous reports on their effectiveness. However, except for some companies, the management of maintenance on-site is predominantly done using various formats such as paper, Excel, Access, and PDF, and the information managed differs by department. Our company provides services to address the following objectives through the organization of equipment ledgers: 1. We want to organize the ledger of data that serves as the fundamental requirement for the implementation of a maintenance system. 2. We want to utilize the failure information accumulated on-site to establish inspection cycles that minimize costs. 3. We want to consider maintenance methods tailored to the situation, as the usage conditions and environments differ even for the same equipment. 4. We want to create a risk matrix from accident and failure information. 5. We want to graph the relationship between maintenance items, reliability, and costs to serve as a guideline for planning. The steps for organizing the equipment ledger are as follows: 1. Digitization of various information. 2. Organization and classification of the digitized information. 3. Implementation of various analyses according to objectives. 4. Addition of management items based on the analysis results.

Support from fault rate calculation to report creation in a seamless manner! Reliability Workbench is a tool based on reliability engineering used for evaluating and analyzing reliability and safety in accordance with functional safety standards. It has been adopted by many companies both domestically and internationally as a tool for evaluating the reliability and safety of equipment required by functional safety standards such as IEC61508 and ISO26262, with a total of 8,000 sites having implemented it worldwide. The main industries where it has been adopted are as follows: - Automotive - Railways - Aircraft - Plants - Industrial equipment In Japan, many automotive-related companies, including Denso Corporation, as well as railway-related customers such as Japan Signal and Nabtesco, have adopted this tool, with over 50 customers in the automotive and railway sectors alone. Additionally, this tool has the following features that support standardization and simplification of work: - Integration with electronic CAD - Database creation of failure data - Automatic deployment of failure modes and distribution ratios to FMEA - Cross-referencing between FMEA and FaultTree+

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a concern when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that is around 60 to 70 points rather than aiming for a perfect score of 100 from the beginning. Gradually improving the system towards the desired state is necessary. This document introduces some of the essence of that approach.

The electronic form system "ConMas i-Reporter" allows for faster and more accurate record reporting tasks than paper forms by creating forms on tablet devices. It is widely used across various industries wherever forms are needed, including manufacturing, maintenance inspection work, construction site records, warehouse management, and dental treatment. 【Benefits of Product Implementation】 - Daily report creation time reduced from 45 minutes to 5 minutes [Metal parts manufacturer] - Elimination of data entry to PC, allowing for completion of creation and reporting on-site. [Construction company] - 60% reduction in man-hours leading to winning an internal improvement contest [Plastic products manufacturing and sales company] - Paperless transition resulting in a reduction of approximately 120,000 sheets of paper [Pharmaceutical company] - Standardization of techniques enabling newcomers to perform at the same level as veterans [Motorcycle manufacturer] *For more details about the product, please download the PDF materials. sales@wavefront.co.jp 045-682-7070

The document titled "Data Mining and IoT Technology Utilization for Equipment Maintenance & Manufacturing Quality Control System" introduces the equipment maintenance and manufacturing quality control system developed by Wave Front Co., Ltd., which engages in the development and sales of software for electronic computers, analysis using software, design, and consultation. It clearly presents the positioning of various products such as the calendar-type equipment maintenance & manufacturing quality control system "FLiPS" and the reliability analysis and optimization system "AWB/RWB." [Contents] ■ Positioning of each product within the solution and the image of each product ■ Positioning of each product within the solution ■ Positioning of each product within the solution and data exchange between products *For more details, please refer to the catalog or feel free to contact us.

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a concern when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, alongside equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that is around 60 or 70 points in completeness, rather than aiming for a perfect 100-point system from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold discussions that inevitably arise when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that is around 60 to 70 points in completeness, rather than aiming for a perfect 100-point system from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a concern when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that has a completion level of around 60 to 70 points, rather than aiming for a perfect score of 100 from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

The tablet-based electronic reporting system "i-Reporter" digitizes Excel-based forms used in equipment inspections, quality checks, reports, inspections, checklists, and business reports in the manufacturing and construction industries! It enables usage on iPads, iPhones, and Windows. By allowing easy and error-free input on-site, it enhances productivity and promotes your company's work style reform. 【Solving these issues】 ◆ Increased printing costs and risk of loss due to handwritten paper management ◆ Difficulties in on-site entries, leading to mistakes and omissions ◆ Slow information transmission, making search and sharing difficult *In the construction industry, there are cases where work has been reduced by about 25% per day. For more details, please contact us or download the PDF to view.

The document titled "Total Solutions for Ensuring Safety, Reliability, and Maintenance" introduces the equipment maintenance and manufacturing quality management systems of Wave Front Co., Ltd., which engages in the development and sales of software for electronic computers, analysis using software, design, and consultation. It clearly presents the positioning of various products such as the calendar-type equipment maintenance and manufacturing quality management system "FLiPS" and the reliability analysis and optimization system "AWB/RWB." [Contents] - Positioning of each product within the solution and the image of each product - Positioning of each product within the solution - Positioning of each product within the solution and data exchange between products *For more details, please refer to the catalog or feel free to contact us.

The document titled "Total Solutions for Ensuring Safety, Reliability, and Maintenance" introduces the equipment maintenance and manufacturing quality management systems of Wavefront Co., Ltd., which engages in the development and sales of software for electronic computers, as well as analysis, design, and consultation using software. It clearly presents the positioning of various products such as the calendar-type equipment maintenance and manufacturing quality management system "FLiPS" and the reliability analysis and optimization system "AWB/RWB." [Contents] - Positioning of each product within the solution and images of each product - Positioning of each product within the solution - Positioning of each product within the solution and data exchange between products *For more details, please refer to the catalog or feel free to contact us.

FLiPS is a facility maintenance management system developed with the aim of providing a user experience similar to Excel, and it is particularly recommended for customers facing the following challenges: - A user-friendly interface that is easily accepted on-site and the desire to integrate with ERP systems - The need to link product quality with facility maintenance for centralized management - The desire to visualize costs, schedules, and actual performance related to facility maintenance in a calendar format - The need to understand the frequency and number of unexpected failures to create maintenance plans that reflect actual conditions - The desire to know the optimal cycle for regular inspections and replacements - The need to streamline budget formulation for equipment purchase and maintenance management Additionally, it is now integrated with various IoT-related products, enabling the following capabilities: 1. Automatically creating and notifying maintenance and inspection plans when sensor data indicates thresholds are likely to be exceeded, notifying both managers and workers 2. Integrating with tablet-compatible systems (such as i-Reporter) to aggregate and visualize information from the field.

The i-Reporter app can directly obtain data from external data sources in real-time for reports. It can also send report input data to external data sources. 【What ConMas Gateway Can Do】 ■ Use the current real information from other systems without automatic report creation. ■ Obtain master data in real-time directly from various master databases of business systems without using custom masters. ■ Acquire business data in real-time directly from external systems such as core systems, production management systems, and the cloud. ■ Retrieve data from IoT devices directly in real-time from the devices. ■ Access input content and images from past i-Reporter reports. *For product details, please download the PDF materials.

Typically, data that is manually entered into the work report by looking at the monitor is automatically captured in real-time directly into the i-Reporter work report. Both information obtained from equipment and information that only operators can access can be included in the i-Reporter forms. 【What is ConMas IoT】 ■ Directly acquire information from IoT devices such as PLCs into i-Reporter forms. ■ Data that is usually manually entered into the work report by looking at the monitor is automatically captured in real-time directly into the i-Reporter work report. ■ It is possible to acquire both information obtained from equipment and information that only operators can access. ■ Information from various IoT devices, including over 160 types of PLCs, can be collected in real-time. ■ The mapping between information from IoT devices such as PLCs and i-Reporter forms can be easily set up without programming using a dedicated application. *For more details about the product, please download the PDF materials.

FLiPS is an asset management system developed with the aim of providing a user experience similar to that of Excel, and it is particularly recommended for customers facing the following challenges: - A user-friendly interface that is easily accepted on-site and the desire to integrate with ERP systems - The need to centrally manage the quality of manufactured products and the condition of equipment - The desire to visualize the costs, schedules, and actual results necessary for equipment maintenance in a calendar format - The need to understand the frequency and number of unexpected failures and to establish maintenance plans that align with actual conditions - The desire to know the optimal cycle for regular inspections and replacements - The aim to streamline budget formulation related to the purchase and maintenance of equipment Additionally, it is now integrated with various IoT-related products, enabling the following capabilities: 1. Automatically creating and notifying maintenance and inspection plans when sensor data indicates thresholds are likely to be exceeded, notifying both managers and workers 2. Integrating with tablet-compatible systems (such as i-Reporter) to aggregate and visualize information from the field.

AiPOST is a system that allows for centralized management of various types of information. In addition to managing records generated in business operations such as work requests, requests for proposals, and malfunction information, it can also be used as a knowledge management system. It is a suitable system for small support centers, customer consultation rooms, and internal help desks, where implementing a large-scale call center system is not necessary, but managing information through Excel or paper-based methods has become unmanageable. It is effective for complaint management systems, customer information management, sales management, and the management of handover information.

A equipment ledger is created by digitizing information from the equipment ledger that serves as the basis for facility management, along with details such as spare parts, maintenance methods, work history performed on the equipment, and costs. By building the equipment ledger using the BI dashboard "Motionboard," it becomes possible to organize and classify information, manage each piece of equipment centrally, grasp the on-site situation in real-time, and visualize it in an easily understandable form. 【Features】 ■ A purely Japanese-made BI tool that allows for easy construction of equipment ledgers ■ Integration and centralized management of various data sources ■ No specialized knowledge required; operable with just a GUI ■ Easy to start and expandable ■ Real-time equipment and quality management *For more details, please refer to the PDF materials or feel free to contact us.

The equipment maintenance management system "FLiPS" is designed to provide a user experience similar to that of Excel. Its intuitive and simple interface allows users who have been managing maintenance tasks with Excel to transition to the system without any discomfort. Additionally, by integrating with the electronic form system "i-Reporter," it reduces the data entry work from paper forms in the field and automatically reflects this data in FLiPS, thereby reducing labor costs. - Centralized management of maintenance information, visualizing trends in failures - Visualization of costs, schedules, and actual performance necessary for equipment maintenance in a calendar format - Ability to understand the frequency and number of unexpected failures, allowing for the formulation of maintenance plans that align with actual conditions ◆ For more details, please download the catalog ◆

The equipment maintenance management system "FLiPS" is designed to provide a user experience similar to that of Excel. Its intuitive and simple interface allows users who have been managing maintenance tasks with Excel to transition to the system without any discomfort. Additionally, by integrating with the electronic form system "i-Reporter," it reduces the data entry work from paper forms on-site and automatically reflects this data in FLiPS, thereby reducing labor hours. - Centralized management of maintenance information, visualizing trends in failures - Visualization of costs, schedules, and actual performance necessary for equipment maintenance in a calendar format - Ability to understand the frequency and number of unexpected failures, enabling the formulation of maintenance plans that align with actual conditions ◆ For more details, please download the catalog ◆

"Motionboard" excels in data representation and visualization, allowing you to consolidate scattered data into one place and create original boards and graphs. A wide variety of charts suitable for different purposes are available, enabling you to view data from diverse perspectives. Additionally, with forecasting and analysis features, it is possible to formulate hypotheses and explore issues. 【Features】 ■ Integrates various data sources for centralized management ■ Operable with GUI only, requiring no specialized knowledge ■ Easy to start and easily expandable 【Examples】 ■ Sales aggregation analysis ■ Created from Excel sample data ■ Abundant chart types *For more details, please refer to the PDF materials or feel free to contact us.

Excel allows for the flexible arrangement of values and formulas, making it easy to perform aggregations, which is why many people use it. However, as the need for combining large amounts of data and conducting aggregations and analyses increases, there are many scenarios where it becomes difficult to achieve this with Excel alone. In recent years, the adoption of BI tools has also become more active. On the other hand, do you have concerns about whether you need to process Excel data every time you aggregate it with a BI tool? The BI tool "MotionBoard" has a feature called "Import Settings" for Excel files, allowing you to use Excel data as is. 【Features】 ■ Excel data can be imported as is, with settings and editing options available ■ No specialized knowledge is required; it can be operated solely through a GUI ■ Easy to start and easy to expand 【Examples】 ■ Sales aggregation analysis ■ Excel aggregation tables ■ Data specification *For more details, please refer to the PDF materials or feel free to contact us.

Excel allows for the free arrangement of values and formulas, making aggregation easy, which is why many people use it. On the other hand, do you have any questions about whether BI tools can create screens that allow you to freely select row and column items and detail items for aggregation, similar to Excel's pivot tables? In the BI tool 'MotionBoard', you can perform free aggregation by changing the display and arrangement of row and column items and detail items, just like in Excel's pivot tables. 【Features】 ■ Free aggregation like Excel pivot tables ■ No specialized knowledge required; can be operated with just a GUI ■ Easy to start and easy to expand 【Examples】 ■ Sales aggregation analysis ■ Excel aggregation tables ■ Data specification *For more details, please refer to the PDF materials or feel free to contact us.

FLiPS is a calendar-based equipment management system. It visualizes inspection and production schedules and actual results, along with associated costs, allowing for integrated management of plans and records as events on a timeline. We particularly recommend it to customers who have the following concerns: - I want to know the trends in equipment failures... - I want to conduct budget simulations... - I want to centralize maintenance information and reduce data entry and management costs... - I want to reduce training costs when implementing a system... - The current system is complicated to operate and has many features that are difficult to use... Additionally, it can be linked with electronic form systems compatible with tablet devices (such as i-Reporter), enabling the paperless management of on-site work records and reducing the data transcription workload to FLiPS.