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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.

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.

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.

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: - 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.

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 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.

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.

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.

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 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.

◆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.

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.

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

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.

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 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.

1. What can and cannot be done with Excel FT diagrams can be created using Excel (or other Office tools). However, FT diagrams created in Excel cannot perform safety analyses such as cut set analysis or quantitative evaluations. They also cannot provide explanations for safety evaluations of models at the system level. 2. What cannot be done without specialized tools Cut set analysis, common cause failures, dependent failures, and systematic failures are difficult to express without specialized tools. The Enterprise version allows for revision management during collaborative work. It can also integrate with external tools like DOORS to manage changes during collaboration. 3. Differentiating between Excel and FTA+ For FT diagrams that are not complex and do not have common cause failures, Excel is suitable as it can be created relatively easily without additional costs. For models that are ASIL C or higher, or those that involve common cause failures that cannot be intuitively identified, FaultTree+ with its robust analysis features is more appropriate. When considering tools for ISO 26262 compliance, it is essential to ensure that cut set analysis can be performed.

Wavefront proposes data collection infrastructure software as part of business efficiency improvement through IoT, big data, RPA, machine learning, and analytics. We offer RPA products like "AutoMate" for automating simple tasks, as well as an AI-powered OCR digital scanner "AI Scan Robo (OCR reading software)" and a tablet-based electronic form system "ConMas i-Reporter." 【Features (AutoMate)】 ■ Automates simple tasks to improve business efficiency ■ Eliminates errors and ensures high-quality execution ■ Operates 24/7 ■ Supports a wide range of business operations ■ Easily create tasks through a GUI *For more details, please refer to the PDF materials or feel free to contact us.

Support for the "Cloud Version" While full company-wide implementation is challenging, starting with project-based implementation is possible, allowing for a small start. You can create extension features in the versatile data processing software development environment "BIOVIA Foundation," which can be called from this product. We have achieved automatic report generation from experimental notebooks and integration with other databases. 【Features】 ■ Simple ■ Easy to implement and operate ■ Compatible with OFFICE (Word, Excel, PPT) ■ Proven track record of operation with 4000 users without the need for dedicated staff ■ Scalability (compatible with BIOVIA Foundation) / Customization available ■ Compatible with PC, tablets (Apple), and various web browsers 【User-Friendly Operation】 - Easy to operate without worrying about layout - Simply drag and drop the necessary data files from various sections (MS Office, ChemicalSketch, PDF, etc.) - Search within the electronic laboratory notebook is possible, allowing for bulk management of experimental values, papers, and other data *For more details, please feel free to contact us.

Supports "Cloud Version" While full implementation across the company is challenging, starting with project-based implementation is possible, allowing for a small start. You can create extensions in the versatile data processing software development environment "BIOVIA Foundation," which can be called from this product. We have achieved automatic report generation from experimental notebooks and integration with other databases. 【Features】 ■ Simple ■ Easy to implement and operate ■ Compatible with OFFICE (Word, Excel, PPT) ■ Proven track record of operation with 4000 users without the need for dedicated personnel ■ Scalability (BIOVIA Foundation) support/customization available ■ Compatible with PC, tablets (Apple), and various web browsers 【User-Friendly Operation】 - Easy to operate without worrying about layout - Simply drag and drop the necessary data files from various sections (MS Office, Chemical Sketch, PDF, etc.) - Search within the electronic laboratory notebook is possible, allowing for bulk management of experimental values, papers, and other data *For more details, please 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 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.

Support for the "Cloud Version" While full implementation across the company is challenging, starting with project-based implementation is possible, allowing for a small start. You can create extensions in the versatile data processing software development environment "BIOVIA Foundation," which can be called from this product. We have achieved automatic report generation from experimental notebooks and integration with other databases. 【Features】 ■ Simple ■ Easy to implement and operate ■ Compatible with OFFICE (Word, Excel, PPT) ■ Proven track record of operation with 4000 users without the need for dedicated staff ■ Scalability (compatible with BIOVIA Foundation) and customization available ■ Compatible with PC, tablets (Apple), and various web browsers 【User-friendly Operation】 - Easy to operate without worrying about layout - Simply drag and drop the necessary data files from various sections (MS Office, Chemical Sketch, PDF, etc.) - Search within the electronic laboratory notebook is possible, allowing for bulk management of experimental values, papers, and other data *For more details, please feel free to contact us.*

While full implementation across the company is challenging, starting with project-based implementation is possible. A small start is feasible. **Features & Easy Usability** - Simple, easy to implement and operate (proven track record of operation with 4,000 users without the need for dedicated staff) - Compatible with OFFICE (Word, Excel, PPT) / PC, tablet (Apple), and various web browsers - Easy to operate without worrying about layout - Simply drag and drop the necessary data files from various sections (MS Office, Chemical Sketch, PDF, etc.) - Searchable within the electronic lab notebook, allowing for bulk management of experimental values, papers, and other data.

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.

In this document, we introduce case studies of "Pipeline Pilot." We include topics such as "calculation of metal transport properties," "simulation to determine glass transition temperature," and "organization and clustering of analytical data." Pipeline Pilot is a tool that enables large-scale data processing and analysis, automation of tasks, and visualization of workflows. 【Contents (excerpt)】 ■ Calculation of metal transport properties ■ Simulation to determine glass transition temperature ■ Simulation to determine mechanical properties ■ Organization and clustering of analytical data ■ Display and organization of a large number of plate images *For more details, please refer to the PDF document or feel free to contact us.

Bayesian optimization is a method for exploratory search to find the maximum or minimum of a function with an unknown overall shape or a function that cannot be differentiated, while estimating the shape of the function. The key point is how to find an optimal value with as few evaluations as possible in situations where unknown evaluations are very time-consuming and costly. In this document, we also include "examples of applications in the FA field," "system integration and wide-ranging proposals," and "an overview of the Pipeline Pilot product." [Examples of Bayesian Optimization Applications] - Optimization of operating conditions for various devices - Exploration of optimal compositions for various materials - Utilization in hyperparameter search for machine learning - Efficient discovery of high-accuracy learning models *For more details, please refer to the PDF document or feel free to contact us.

This document presents a case study on multi-objective variable problems using Pipeline Pilot. It includes topics such as "Clustering based on molecular structure," "Overview of approaches to multi-objective variables," and "Data used in examples of multi-objective optimization." Pipeline Pilot is a tool that enables various processes using a wide range of functions, achieving simplification and efficiency in data processing through a concise GUI. [Contents (excerpt)] ■ Pipeline Pilot workflow ■ Clustering based on molecular structure ■ Overview of approaches to multi-objective variables ■ Data used in examples of multi-objective optimization ■ Finding Pareto optimal solutions for multi-objective variables *For more details, please refer to the PDF document or feel free to contact us.

This document reports on the prediction of the cycle life of Li-ion batteries using machine learning with Pipeline Pilot. We will introduce the sections: "Background," "Flow," "Results," and "Discussion." Pipeline Pilot is a tool that enables large-scale data processing and analysis, automation of tasks, and visualization of workflows. 【Contents】 ■ Background: (1) Li-ion batteries and their cycle life prediction, (2) What is machine learning ■ Flow: (1) Machine learning in Pipeline Pilot ■ Results: (1) A part of the Pipeline Pilot operation screen, (2) Output screen (3) Comparison of output screens ■ Discussion *For more details, please refer to the PDF document or feel free to contact us.

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.

Our company estimates the number of products operating in the market and the necessary repair parts based on reliability engineering, providing support to derive the appropriate inventory levels. By achieving demand forecasting, we can avoid issues such as holding excessive repair parts or being unable to respond due to shortages. 【Benefits and Features of the Service】 ■ Improvement in the quality of after-sales service ■ Reduction of costs associated with inventory storage ■ Capability to respond even without data for estimates *Currently, we are offering materials that clearly explain the mechanism and service content for estimating the number of repair parts. Please check it out from "PDF Download."

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.

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 ◆

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.

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 facing the following issues: - I want to know the trends of 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.

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 facing the following issues: - I want to know the trends of 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 the system... - The current system is complicated to operate and has many functions 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 data transcription tasks to FLiPS.

FLiPS is a calendar-based facility 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 facing the following issues: - I want to know the trends of equipment failures... - I want to conduct budget simulations... - I want to centrally manage 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 functions 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 data transcription tasks to FLiPS.