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

The challenges of inefficiency and dependency on specific individuals in the document management tasks faced by many companies. Are manual errors and business stagnation becoming barriers to productivity improvement? In this seminar, we will introduce advanced approaches to visualizing management decisions using AI and automating and streamlining document management tasks, centered around SCSK Corporation's AI-native next-generation ERP "PROACTIVE," Asteria Corporation's no-code data integration tool "ASTERIA Warp," and Kokuyo Corporation's electronic document distribution system "@Tovas." We will also explain business flows that achieve depersonalization while presenting examples of automated business flows realized through solution integration.

Method for determining inspection standards, standard values, and safety factors based on economic risks Practical introduction to a method of consideration that prevents profit loss and does not rely on statistical distribution (loss function) 【Half-Day Intensive Seminar】 －－－－－－－－－－－－－－－－－－－－－－－－－－－－－ https://johokiko.co.jp/seminar_chemical/AD251101.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounted participation fees. If you would like to apply for each seminar with a discount, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept participation from technical consultants or instructors. * If you wish to have the same seminar as an in-house training, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Robust Optimization Development Method to Solve the Four Major Challenges in Technology and Product Development: A Practical Introduction Learn through Comparison with Conventional Development Methods and Experimental Design Methods [Quality Engineering Parameter Design] [Software and Discussion Templates Available for Interested Parties] －－－－－－－－－－－－－－－－－－－－－－－－－－－－－ https://johokiko.co.jp/seminar_chemical/AD251102.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounts on participation fees. If you would like to apply for any seminar with a discount on the participation fee, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept applications from technical consultants or instructors. * If you wish to have an in-house training session for the same seminar, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

This is a seminar co-hosted by NTT Data Business Brains and HeartCore. As HeartCore stands at the forefront of CMS and AI, we will discuss the future of content management and the perspectives required by companies. We will also share how to maximize operational efficiency and results through the implementation of CMS tailored to specific challenges. = For details and registration, click here = August 28, 2025 (Thursday) 12:00 PM - 12:35 PM Participation is free https://www.nttd-bb.com/event/smn20250828.html?utm_source=ipros&utm_medium=other&utm_campaign=20250812_sales 12:00 PM - 12:20 PM "How will CMS evolve in the era of 'AI changing the web'?" HeartCore Inc. 12:20 PM - 12:35 PM "Shall we maximize operational efficiency and results through CMS implementation tailored to challenges?" NTT Data Business Brains Inc.

The use of AI in the manufacturing industry has continued to evolve since the national projects of the 1980s, and now automation and efficiency improvements are advancing across a wide range of areas, from inspection tasks to parts design. However, in actual workplaces, there are many companies that find themselves unable to fully leverage AI and digital transformation (DX) due to past experiences of abandoning implementation due to technical constraints and reliance on paper or Excel for information management. These barriers to implementation are often attributed to a lack of resources such as technology, funding, and personnel, but recent advancements in no-code tools and AI specialized for specific fields have significantly lowered these hurdles. In this seminar, Futsupa Co., Ltd., which has developed and implemented AI solutions in numerous manufacturing sites, and Asteria Co., Ltd., which has supported field-led DX with no-code, will co-host a discussion on examples of efficiency improvements in manufacturing sites.