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 quality information scattered throughout 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 the time to analyze past trouble information because I'm overwhelmed 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 proactive measures, with the Human Science methods that excel in improving and standardizing document clarity.

*Please note that participation from other companies in the same industry and individuals is not allowed.

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

*The program is subject to change without notice.

Event Guidelines

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.
Details on how to participate will be communicated separately via email to those who have registered.
For information about the playback environment for Zoom, please check here.

How to Apply

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

Applications have been closed

Instructor

Zuken Pre-Site Inc.
Business Management Department Sales Division
xWorkTech Sales Section
Masamitsu Kuramoto

After graduating from Meiji University, joined Zuken Inc. in 1999.
After working in sales for circuit and PCB CAD and PLM, engaged in planning, sales, and promotion of knowledge management support systems since 2015.
In 2016, appointed as the sales manager for "Knowledge Explorer" at the time of the establishment of Zuken PreSite.
Since 2023, in the current position, responsible for sales of knowledge management support systems as well as sales and promotion of new IT products for the manufacturing industry.

Yoshiyuki Yasuoka

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

- Involved in the creation of internal 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 useful content for multilingual deployment."
◆Lecture Achievements at TC Symposium
・2013-2014/ 'Introduction to Video Manuals'/ 'Video Manual Creation - Practical Edition'
・2015: "Solving the Challenges of In-House Manuals"　
・2016 Standardization of In-House Manuals
・2016 Year 'How to Train Industrial Equipment Manual Creators'
・2017 "The Power and Cultivation of TC in a 'High Productivity Society'"
・2018 Start-up of In-house Manuals: How to Begin and Review Manual Operations Without Failure
・2019 "Methods to Change Person-Dependent Work - Factors That Cannot Be Solved by Tools or Systems and Their Solutions!"
・2023 "Coexistence of TC and AI - Creating New Value through Mutual Complementation"
・2024 "Knowledge Management Using Generative AI - Considerations on Accuracy Improvement through TC"