From "creating FMEA manually" to "nurturing it with AI."
In "AI FMEA," based on information such as product names, part names, and process names, AI extracts and infers structural/compositional elements, functions, failure modes, causes, impacts, and potential countermeasures to assist in the creation of initial drafts for DFMEA/PFMEA. Additionally, it extracts necessary information for FMEA from BOMs, design specifications, and failure reports, supports evaluations of S/O/D/AP, checks FMEA content, suggests improvement candidates, and utilizes knowledge from past FMEAs and failure information. AI does not replace human judgment but supports the organization of candidates and information necessary for decision-making, providing an environment where personnel can focus on reviews and judgments. 【Features】 ■ Supports the creation of initial drafts for DFMEA/PFMEA using AI ■ AI infers structural/compositional elements, functions, failure modes, causes, impacts, etc. ■ Supports evaluations and consideration of countermeasures for S/O/D/AP ■ Extracts FMEA information from BOMs, design specifications, and failure reports ■ Identifies deficiencies and improvement candidates through AI checks and optimization ■ Reuses past FMEAs and failure information as knowledge *For more details, please feel free to contact us.
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basic information
◆Main Features FMEA initial proposal generation, structure/composition function/failure reasoning, cause/effect reasoning, prevention/detection control reasoning, S/O/D/AP evaluation support, AI file content extraction, function/failure relationship network, boundary diagram generation, AI check/optimization, AI Q&A assistant, knowledge base utilization ◆Supported Input Information Text-based information such as product, part, and process information, BOM, design specifications, and failure reports ◆Implementation Method Cloud/on-premises *For more details, please feel free to contact us.*
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◆Purpose Creation of initial drafts for DFMEA and PFMEA, structural/compositional and functional/failure analysis, support for S/O/D/AP evaluations, extraction of FMEA information from existing documents, FMEA reviews, checks for omissions, reuse of past FMEA and failure information, etc. ◆Utilization Departments Design and development departments, quality assurance departments, production technology and manufacturing departments, maintenance and service departments, etc.
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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into one that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
