Finally starting tomorrow! Smart Factory EXPO 2022 (Tokyo Big Sight, East Exhibition Hall, Booth Number 53-58) [Ito Shokai]

Case Study on the Utilization of Manufacturing Execution System (MES): "Identifying Issues in Job Shop Processes"

I want to promote digital transformation (DX) in the manufacturing site. However, "I can't envision how to utilize the data..." "I have the data, but I'm not able to use it effectively..." Many people may have such concerns, right? In this article, for those considering how to utilize the collected and accumulated data, I will introduce a case study on identifying issues in job shop processes using data from the Manufacturing Execution System (MES).

• Production Management System

The manufacturing execution system ProManageMES enables a factory resilient to change through visualization of the manufacturing site!

Three Features of the Manufacturing Execution System ProManage MES [Feature 1: It can be implemented with a small start!] Depending on the factory's situation and budget, the system can be flexibly implemented with only the necessary functions at the right timing. Additionally, with the release of the cloud version of ProManage in February 2021, it has become more affordable to start small. [Feature 2: It is a management-oriented, overall optimization system!] This system is in line with the Industry 4.0 concept, with many successful implementations in Europe, including Germany. Based on international standards (ISA-95 and ISO22400), it allows for smooth data integration between factories and with overseas ERP systems. [Feature 3: It supports the establishment of a resilient manufacturing system!] This system quickly responds to various external changes such as the COVID-19 pandemic and digitalization, while maintaining and strengthening the improvements in QCD that have been pursued in Japanese manufacturing for many years.

• Injection Molding Machine
• Production Management System
• Other production management systems

Addressing diverse on-site challenges and data analysis needs! Anomaly detection solution Impulse.

Reasons to Choose Impulse 01 Responds to diverse challenges and data analysis needs on-site 02 Full support from data analysis to model operation 03 Easily create and operate machine learning models with auto-modeling features 04 Over 21,000 models operated for more than 100 companies

• Database
• Business Intelligence and Data Analysis
• Other information systems

Three Key Points of Digital Transformation in Manufacturing Industry

From the time when it was surprising for each person to have a mobile phone, we have now entered an era where having a camera on a mobile phone and using a smartphone that can be operated with just one screen has become completely normal. Amidst the remarkably rapid pace of technological innovation, various industries are focusing on "digital transformation." In the manufacturing sector, there is a need for flexible responses to various environmental changes such as "the arrival of an era where products do not sell," "diversification of customer needs," "labor shortages," and "the impact of COVID-19." To address this, "digital transformation in manufacturing" is essential to build a manufacturing system that is resilient to change through the digitalization of the manufacturing industry. In this article, we will explain key points for advancing digital transformation in manufacturing, including "clarifying objectives and goals," "starting small," and "combining visualization and response."

• Production Management System

[Lecture Topics] 1. Trends in Policies for Decarbonization of Housing and Buildings Tetsuya Hirayama, Deputy Director, Housing Bureau, Ministry of Land, Infrastructure, Transport and Tourism (in charge of architectural planning) 2. Construction Circular Economy - Expanding Horizontal Recycling for Achieving Sustainable Construction Takahiro Moritomi, Analyst, Social Infrastructure Team, Next Generation Infrastructure and Services Office, Industry Research Department, Mizuho Bank, Ltd. 3. Beyond "Scrap and Build" Aiming for the Realization of "Circular Design Build®" Shoichi Fukui, Senior Chief Expert, Sustainability Promotion Department, Management Planning Office, Takenaka Corporation

[Instructor] Attorney Kurato Suzuki, Irokawa Law Office [Key Lecture Content] Due to the amendments to the Comprehensive Promotion Law for Labor Policies, starting from October 1, 2026, employers will be required to take necessary measures in employment management regarding customer harassment (Kasu Hara) and sexual harassment against job seekers (Job Hunting Sexual Harassment). In line with this, companies will need to prepare for practical implementation before the enforcement date, based on the guidelines published by the Ministry of Health, Labour and Welfare. This includes developing internal regulations, establishing consultation and response systems, raising awareness within the company, and determining judgment and response methods on-site. This seminar will organize the setting of job hunting rules related to job hunting sexual harassment, internal awareness, and key points for regulatory development. It will also explain the distinction between legitimate complaints and customer harassment, judgment, documentation, and response on-site, the establishment of a company-wide system, regulatory development considering dispute risks, and points that are easily overlooked. The Human Resources, Labor, Legal, and Compliance departments will systematically organize the response matters that need to be confirmed in preparation for the enforcement on October 1, 2026, from the perspectives of guideline compliance and on-site operations. [Lecture Items] 1. Job Hunting Sexual Harassment 2. Customer Harassment 3. Q&A

[Speaker] Mr. Itsuki Wakayama, Project General Manager, Technology Promotion Unit, Low Carbon Solutions Division, INPEX Corporation [Key Lecture Content] The greatest advantage of synthetic methane production through CO2 methanation technology is that it enables decarbonization without significant additions or modifications to all existing natural gas and city gas infrastructure. At INPEX, after two NEDO commissioned projects, we have been conducting the development of practical application technology with a capacity of 400 Nm3-CO2/h, one of the largest in the world, as a subsidized project by NEDO since the fiscal year 2021. By the fiscal year 2025, we aim to achieve the injection of synthetic methane produced during the demonstration operation of the test facility. This presentation will provide detailed information on the results of the NEDO project for the fiscal year 2025, including the current status of the latest test facilities. [Presentation Items] 1. INPEX's efforts towards net zero by 2050 2. Policy trends related to CO2 methanation 3. Challenges of CO2 methanation 4. Results of the NEDO practical application technology development project with a capacity of 400 Nm3-CO2/h for the fiscal year 2025 5. Future commercialization prospects and challenges 6. Q&A / Business card exchange

[Speaker] Mr. Satoru Shimizu, President and CEO of Okunote Inc. [Key Lecture Content] Generative AI is not a "magic wand," but a "mirror" that reflects the questions of the user. In this lecture, based on my book "The 'Super' Planning Techniques Practiced by Competition Disruptors: Seven Creative Steps to Lead Winning Strategies with the 'Art of Questioning'," I will explain how to overcome the challenges of proposals being rejected, not moving forward within the company, and not being executed on-site through interactions with AI. I will introduce the entire process of planning, linking it with AI utilization, from question design to hypothesis destruction, structuring materials from the decision-maker's perspective, forming internal consensus, managing execution, and turning reflections into assets. In the latter part of the workshop (exclusive to on-site participants), you will actually formulate questions and refine your dialogue with AI, taking home usable "art of questioning" techniques for tomorrow. [Lecture Items] 1. Orientation: AI is a "mirror," not a "magic wand." 2. Enhancing the precision of planning through "question design" and "hypothesis destruction." 3. Structuring materials from the decision-maker's perspective to create "acceptable" proposals. 4. Forming consensus that transcends internal barriers. 5. Mechanisms that prevent execution from stopping and turning experiences into assets through reflection. 6. Habitualizing AI as a "partner" and the roles humans will take on in the AI era.

【Exhibition Overview】 A collection of products related to data centers, which are at the core of AI infrastructure, gathered in one place.