Notice of Participation in the "6th Smart Factory EXPO - Manufacturing Innovation Exhibition through IoT/AI/FA" by Ito Shokai

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

I want to promote the digital transformation (DX) of the manufacturing site. However, "I can't visualize 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 who are 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).

• Process Control System
• IoT

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

Three Features of the "Manufacturing Execution System ProManage MES" 【Feature 1: Implementation is possible 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: 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: 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 QCD improvements that have been pursued in Japanese manufacturing for many years.

• Process Control System
• Traceability

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

Reasons to Choose Impulse 01 Responding 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 Operational track record exceeding 21,000 models across 100 companies

• Big Data
• Database

Three Key Points of Digital Transformation in Manufacturing Industry

From a time when it was surprising for each person to have a mobile phone, we have now entered an era where it is completely normal to use smartphones equipped with cameras and operated with a single screen. 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 for building a resilient manufacturing system through the digitalization of the industry. This article will explain key points for advancing digital transformation in manufacturing, including "clarifying objectives and goals," "starting small," and "combining visualization with response."

• Process Control System
• IoT

In the field of food and health food research and development, an increasing number of companies are facing the following challenges: - Difficulty in exploring new functional materials and differentiation themes, leading to a depletion of research topics. - While they are collecting information from conferences and papers, they struggle to translate this into research themes directly related to their products. - They remain limited to competing similar products and follow-up projects, failing to establish uniqueness. - Although there are seeds of ideas, they struggle to elevate them to scientific hypotheses and build the necessary foundations for internal approval. Behind this lies a "wall of execution" that cannot be overcome by traditional information gathering and research processes. In this webinar, we will introduce a new R&D approach to break through these challenges. It is a next-generation research and development scheme that combines AI-driven hypothesis generation, which has achieved results in drug discovery, with scientific hypothesis verification by a food human trial CRO. This will allow for the transformation of vague ideas into scientifically verifiable projects, simultaneously achieving the construction of persuasive foundations for upper management and differentiation development.

Fujikohsuhou Industrial Co., Ltd. will hold an online seminar titled "Tips for Setting Laser Hardening Conditions" on July 20, 2025 (Wednesday). In laser hardening, factors such as output and speed are related to the quality of hardening. We will explain how output and speed are connected to quality factors. This seminar is aimed at those who are looking to start utilizing laser hardening. 【Recommended for】 ■ Those who want to learn about methods for setting laser hardening conditions ■ Those who want to obtain technical information about laser hardening

Take the 'first step' in DX talent development in Fukuoka. We will hold a free seminar where you can learn reskilling strategies that can be applied in the field through case studies and experiences! 'I've become responsible for DX, but I don't know where to start.' This is a participatory seminar aimed at representatives from small and medium-sized enterprises in Fukuoka City, Fukuoka Prefecture, where you can learn the 'first steps' in DX talent development and implementation support. While introducing case studies of representative DX tools such as Power Automate and Power BI, you will experience hands-on sessions with Copilot, allowing you to grasp practical small-start methods that can be implemented on-site. The content also includes specific success stories from the Fukuoka region, along with tips for promoting understanding and advancement within your organization.

We will be exhibiting at INCHEM TOKYO 2025, which will be held at Tokyo Big Sight from September 17 (Wednesday) to September 19 (Friday). This time, we will host many events, including special project stages and mini-seminars. At our booth, we will introduce our solutions and technologies based on the theme of "Sustainable Plant Engineering" from three different concepts. Please be sure to stop by our booth, East Hall 6, K-17.

The Siemens EDA Tech Forum is a technical event aimed at sharing the latest technological trends, case studies, and solutions to challenges with everyone involved in the design and development of silicon systems and electronic systems, while addressing evolving technologies, the densification and complexity of designs, and various design challenges, all while meeting requirements for quality, safety, and reliability. The goal is to deepen insights and networks towards achieving sustainable business. The forum covers a wide range of topics, from advanced design technologies and methods in fields such as 3D ICs, chiplets, chips for AI and ML (machine learning), and IC packaging, to the design, analysis, and collaborative development of electronic systems, including printed circuit boards, across multiple domains, as well as building ecosystems both internally and externally using digital threads. Through case presentations and explanations of design methods by industry leaders, it supports solutions to challenges faced in daily design work from all directions. This is a free technical event that requires pre-registration. We hope you will participate!