Seminar on Solving Quality-Related Issues through the Use of Past Troubles, Manuals, and Generative AI

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Web Seminar on November 19, 2024 (Tuesday)

Seminar on Solving Quality-Related Issues through the Use of Past Troubles, Manuals, and Generative AI

Will be held.

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Are you properly utilizing past defect information scattered within the company, such as market claims, in-process defects, and design checklists?

・Quality assurance, design, and production departments have past trouble information scattered and in various formats.
・I feel like there have been similar troubles in the past, but we always deal with them from scratch, which is inefficient.
・I can't find time to analyze past trouble information because I'm busy with daily tasks.
・Only experienced individuals or experts can access the past trouble information that should be referenced.
・I have to write reports and manuals, but I don't know how to write them clearly.
・The lack of clarity in manuals often causes troubles.

If you feel these challenges but don't know what to do, this seminar is recommended for you.

This seminar will introduce methods to solve your quality-related issues by combining "Qualityforce" from Zuken, which utilizes past data and generative AI to achieve recurrence prevention and preemptive measures, with the Human Science methods that excel in improving and standardizing document clarity.

※Please note that participation by other companies and individuals is not allowed. Thank you for your understanding.

Program

Lecture: 60 minutes

- Introduction
– Leave past trouble management to us! Introduction of "Qualityforce" (Zuken Prisite Co., Ltd.)
– Key Points for Clear Documentation / How to Standardize Documents and Case Studies from Other Companies (Human Science Co., Ltd.)
- Q&A

※Programs are subject to change without notice.

Event Details

Date and Time

November 19, 2024 (Tuesday) 3:00 PM - 4:00 PM

Cost: Free

How to Participate

This seminar is a Web seminar using zoom.
The participation method will be notified by email to those who have applied.
For information on the playback environment for zoom, please check here.

Application Method

If you wish to participate, please apply from the following web page.
You will be redirected to the website of Zuken Inc.

Application deadline has passed

Instructor

Tech Writing and Translation Company
Business Management Department, Sales Department
xWorkTech Sales Division
Masamitsu Kuramoto

After graduating from Meiji University, joined ZUKEN Co., Ltd. in 1999.
Worked in sales for circuit and board CAD and PLM, and since 2015 has been involved in planning, sales, and promotion of knowledge management support systems.
In 2016, became the sales manager for "Knowledge Explorer" at the establishment of ZUKEN Presite Co., Ltd.
Since 2023, in current position, in addition to sales of knowledge management support systems, responsible for sales and promotion of new IT products for the manufacturing industry.

Yasunori Yasuoka

Human Science Corporation
Document Solutions Department, Consulting Group Leader
Hitoshi Yasuoka

Involved in the creation of in-house system operation manuals, business manuals, various instruction manuals, and educational materials. Has numerous seminar teaching experiences on themes such as 'How to create easy-to-understand instruction manuals and manuals,' 'Know-how for reducing production costs,' and 'Techniques for writing documents useful for multilingual deployment.'
◆Presentation Achievements at TC Symposium
・2013-2014/ 'Introduction to Video Manuals'/ 'Video Manual Creation - Practical Edition'
・2015: "Solving Issues with In-House Manuals"　
・2016 Standardization of In-House Manuals
・2016: "How to Train Industrial Equipment Manual Creators"
・2017 "The Power and Cultivation of TC in a 'High Productivity Society'"
・2018 Startup of In-House Manuals: How to Start and Review Manual Operations Without Failure
・2019 Method for Changing Personal Work ~ Factors That Cannot Be Solved by Tools or Systems and Their Solutions! ~
・2023 "Symbiosis of TC and AI: Creating New Value through Mutual Complementation"
・2024 "Knowledge Management Using Generative AI - Considerations on Accuracy Improvement through TC"