Execution System Product List and Ranking from 27 Manufacturers, Suppliers and Companies

[Article Introduction] Case Studies on the Use of Manufacturing Execution Systems (MES)

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).

Company：伊東商会
Price：Other

Production Management System
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Manufacturing Execution System ProManage Cloud

Small start and affordable introduction possible! Would you like to achieve improved productivity of equipment with the manufacturing execution system ProManageCloud?

■Recommended for the following individuals! - Customers in the automotive and plastics industries (processing, assembly, and manufacturing) - Medium to large enterprises ■Features Creating a roadmap for visualizing the manufacturing site and implementing MES is challenging. → With ProManage Cloud, you can start small with equipment monitoring and gradually introduce MES functions! It takes time and money to establish IT infrastructure. → ProManage Cloud is a cloud-based MES, so there are no costs for on-premises server installation or maintenance! There is little budget available for smart factory initiatives. → ProManage Cloud offers an affordable subscription price, with implementation possible starting from just one piece of equipment on a monthly basis! Concerned about return on investment? → There are cases where ROI has been achieved in as little as one week after implementation. We recommend starting with a small scope for visualizing equipment. Want to implement MES from a reliable company? → ProManage has over 300 implementation cases, primarily in Europe. When implementing in Japan, our company will support you with MES utilization methods and language aspects. *Free dashboard demo currently available!

Company：伊東商会
Price：Other

Other production management systems
Injection Molding Machine
Production Management System
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[Case Study] ProManage Cloud (LABSAN Inc.)

Case of discovering long-term shutdown of injection molding machines at night using Manufacturing Execution System (MES)!

■Recommended for the following individuals! - Customers in the automotive and plastics industries (processing, assembly, and manufacturing) - Medium to large enterprises ■Features Creating a roadmap for visualizing the manufacturing site and implementing MES is challenging. → With ProManage Cloud, you can start small with equipment monitoring and gradually introduce MES functionalities! Setting up IT infrastructure takes time and money. → ProManage Cloud is a cloud-based MES, so there are no costs for on-premise server installation or maintenance! There is a limited budget available for smart factory initiatives. → ProManage Cloud offers an affordable subscription price, and it can be implemented starting from just one piece of equipment on a monthly basis! Concerned about return on investment? → There are cases where ROI has been achieved in as little as one week after implementation. We recommend starting with a small scope for equipment visualization. Want to implement an MES from a reliable company? → ProManage has over 300 implementation cases, primarily in Europe. When implementing in Japan, our company will support you with MES utilization methods and language aspects. *Free dashboard demo currently available!

Company：伊東商会
Price：Other

Other production management systems
Injection Molding Machine
Production Management System
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[Article] How to Promote Lead Time Reduction and Inventory Reduction in Multi-Variety, Small-Batch Production

Case Study on the Utilization of Manufacturing Execution System (MES): "Approaches to Reducing Lead Time and Inventory in Low-Volume, High-Variety Production"

As we have transitioned from mass production of a few varieties to a mainstream era of small-batch production of many varieties and variable production, are you facing the following challenges? - The production process has become more complex, making it difficult to grasp production status based solely on the intuition of the site. - It is challenging to reduce inventory levels and shorten lead times due to small-batch and variable production. - It is difficult to advance lot size reduction at the appropriate timing and quantity. Utilizing digital tools is one effective means of understanding the production status of complex processes like small-batch and variable production. A "Manufacturing Execution System (MES)" that visualizes the operational status of manufacturing equipment is one of the effective tools for solving common challenges when advancing small-batch production. With a Manufacturing Execution System (MES), you can "connect to PLCs and servers to collect equipment data and visualize the operational status of equipment across the entire factory." Now, let’s introduce some examples of how to advance "small-batch production" using a Manufacturing Execution System (MES).

Company：伊東商会
Price：Other

Production Management System
Other production management systems
Other core systems
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Manufacturing Execution System Quick! MES

Basic template for MES that allows for a small (quick) start.

Quick! MES is a service for customers who want to build their own original MES with core modules of SI that can be modified according to customer requests. It achieves efficiency in production processes, improvement in quality management, reduction of lead times, and management and analysis of production data while minimizing the burden on the work site with simple operability. It contributes to improving management efficiency, strengthening competitiveness, and enhancing customer satisfaction. 【Basic Functions】 1. Work schedule list 2. Start and completion screen 3. Time schedule output 4. CSV mapping 5. Workflow approval 6. 4M management *For more details, please contact us through our website.

Company：ソリューション・ラボ・ジャパン
Price：Other

Production Management System
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Numerous achievements from large corporations to small and medium-sized enterprises! Manufacturing Execution System (MES)

"Want to focus more on quality" "Don't want to deal with cumbersome process management" - Solving the concerns of the production site! *Customizable according to your needs.

Our "Manufacturing Execution System (MES)" has been developed since our establishment in 1986, specializing in contract development of production control systems for semiconductor, LCD, and solar panel manufacturing plants that operate 24 hours a day, 365 days a year. We are capable of providing systems tailored to our customers' needs across various industries, starting with manufacturing. 【Features】 ■ A system capable of continuous operation 24 hours a day, 365 days a year ■ Customization available to meet customer requirements in addition to standard functions ■ Achieves low costs by using Linux for the server OS and PostgreSQL for the database ■ Daily information checks and instructions are all conducted through the MES client ■ Centralized management of master data, distributed to each subsystem ■ A wide variety of equipment interfaces available for flexible responses *For more details, please refer to the PDF document or feel free to contact us.

Company：アルダック
Price：Other

Embedded system design service
Execution System

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[Case Study] Paperless Manufacturing Process with Atfields MES

Eliminate paper operations within the process with Atfields' unique MES! Centralize data management and effectively utilize information.

We would like to introduce a case of paperless manufacturing processes using Atfields MES. We faced challenges such as "inefficiency in production and management operations due to paper usage. Data was not centrally managed, making it difficult to utilize." Therefore, we implemented MES in the sensor manufacturing process to centrally manage data. As a result, by digitizing paper media and establishing a centralized data management and utilization platform, we were able to reduce the time for lot identification during defects from 12 hours to 1 hour. [Challenges] <Manufacturing Personnel> ■ Recording processing results on paper ■ Occasional recording errors and loss of paper <Technicians> ■ Collecting necessary information from a vast amount of paper ■ Spending a significant amount of time on aggregation tasks *For more details, please refer to the PDF document or feel free to contact us.

Company：アットフィールズテクノロジー
Price：Other

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[Data] Creation of Digital Plants

Digital transformation is an important priority for industrial organizations!

In this document, we introduce "the creation of digital plants." If data cannot be shared and visualized across the plant and the entire enterprise, what will happen to the value of that data? We provide a detailed explanation of this topic. Additionally, we also cover three important steps in the journey of digital kaizen. Please feel free to download and read it. [Contents] ■ Introduction ■ Extracting value through data visualization and sharing ■ Digital kaizen for continuous improvement ■ PDCA (Plan, Do, Check, Act) ■ Prediction and optimization ■ Final outcome: optimized plant operations *For more details, please download the PDF or feel free to contact us.

Company：Velotic
Price：Other

Software (middle, driver, security, etc.)
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Case Study: Precision Machinery Manufacturer | Strengthening Lead Acquisition with SEO and No-Code Solutions

The number of leads acquired through the technical blog has increased by 3.2 times!

This is a case study of supporting a precision machinery manufacturer in strengthening lead acquisition through SEO and optimizing information dissemination through no-code solutions. Challenges Due to the high specialization of the products, it was difficult for information to reach the appropriate target audience. There was a desire to increase technical content, but the internal environment for editing was not established. Compared to competitor sites, there was a lack of information online, making it hard to generate inquiries. Measures SEO content enhancement: Researched high-volume technical keywords and created blogs and white papers. No-code CMS implementation: Established a system that allows internal technical staff to directly edit and publish content. LP creation: Developed a technical explanation page with SEO in mind to increase search traffic. MA measures: Collected lead information through downloadable materials and automated nurturing. Results The number of leads acquired through the technical blog increased by 3.2 times. The speed of content updates improved by 5 times due to no-code implementation. Lead nurturing measures after inquiries increased the conversion rate to business negotiations by 40%.

Company：homula
Price：Other

SFA/Sales Support System
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[Report] The Global Market for Manufacturing Execution Systems in Life Sciences

"Free samples" are currently being offered! Please check the application method from the [PDF download] button, or apply directly through the related links.

The market size of manufacturing execution systems in the global life sciences is expected to reach approximately $2.47 billion in 2022, with a projected healthy growth rate of over 12.20% during the forecast period from 2023 to 2030. Manufacturing execution systems (MES) in life sciences refer to software-based solutions designed to manage and control manufacturing processes in the pharmaceutical, biotechnology, and medical device industries. MES facilitates real-time monitoring, tracking, and execution of manufacturing operations, from raw material preparation to final product packaging. Key factors driving the demand for manufacturing execution systems (MES) in life sciences include the rise of biopharmaceuticals, increased technological advancements, and the growing adoption of Pharma 4.0. As the pharmaceutical industry embraces digital transformation and promotes Pharma 4.0, the adoption of MES in the life sciences market is increasing. Initiatives related to Pharma 4.0 aim to enhance connectivity, productivity, compliance, and information management, enabling more effective solutions to industry challenges.

Company：グローバルインフォメーション
Price：500,000 yen-1 million yen

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Orizuru MES connects planning and the field.

Reaching the execution sites that are difficult to connect with just ERP. Transforming division into connection.

ERP manages the overall planning and core operations of a company. On the other hand, in actual manufacturing sites, it is essential to timely grasp more detailed execution information such as progress, inventory, quality, and equipment status. If there is a discrepancy between planning and the site, it can easily lead to inconsistencies in delivery responses, cost understanding, and improvement decisions. The role of bridging this gap is taken on by 'Orizuru MES.' By collaborating with existing systems like ERP, PLM, and FA, it visualizes what is happening on the shop floor and helps to minimize the discrepancies between planning and execution. Furthermore, it allows for a phased introduction of necessary functions, enabling a gradual approach to overall optimization without the need for a complete overhaul. 【Features】 ■ Easily connects planning and execution by collaborating with ERP, PLM, and FA ■ Visualizes progress, quality, and equipment information, facilitating quicker decision-making ■ Allows for phased implementation of necessary functions, making it easier to reduce the burden on the shop floor *For more details, please download the PDF. ■Reference Article What is the difference between MES and ERP? The system environment required for DX in manufacturing https://www.cct-inc.co.jp/koto-online/archives/184

Company：コアコンセプト・テクノロジー本社
Price：Other

Process Control System
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Utilizing design intent on-site [Orizuru MES]

Connect engineering information to create a flow that will also contribute to the next improvement.

BOP is the foundation for organizing what to use, where to create, and how to create, connecting information from design to manufacturing. When information is scattered across different sites, the intent of the design is not accurately communicated, making it difficult to apply learnings from improvements or defects to the next iteration. "Orizuru MES" is structured to easily implement the connection of manufacturing information on-site. By visualizing process and execution information, it can be operated in conjunction with existing systems, thereby reducing the gap between design and manufacturing and moving closer to a state where improvements can be effectively implemented. 【Features】 ■ Connects and makes process and execution information easy to utilize ■ Easy to operate while integrating with existing systems ■ Can be gradually introduced from necessary functions, making it easy to establish *For more details, please download the PDF. ■Reference Article What is BOP? A clear explanation of the differences from BOM, benefits of implementation, and case studies https://www.cct-inc.co.jp/koto-online/archives/55

Company：コアコンセプト・テクノロジー本社
Price：Other

Process Control System
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Connecting control and visualization on-site. - Orizuru MES

Don't just stop at collecting equipment data; connect it to operational improvements.

In integrated control, it is important to connect the control of each piece of equipment and to operate the entire process stably. On the other hand, simply visualizing and monitoring does not easily lead to overall optimization, and the question arises as to how to utilize the collected equipment data in operations. This is why a system that connects information obtained on-site to higher-level decision-making is essential. 'Orizuru MES' visualizes progress, quality, and equipment information while leveraging existing equipment, systems, and procedures, making it easier to integrate with ERP, PLM, and FA. Since it can be introduced in stages based on necessary functions, it helps to reduce the fragmentation of information between control and operations, facilitating a smooth transition to a smart factory. [Features] ■ Visualizes equipment data, making it easy to utilize in operations ■ Integrates with ERP, PLM, and FA, facilitating overall optimization ■ Can be introduced in stages based on necessary functions, making it easier to reduce the burden on the site *For more details, please download the PDF. ■ Reference Article What is an integrated control system? Introducing three benefits of implementation and five points to consider during implementation. https://www.cct-inc.co.jp/koto-online/archives/721

Company：コアコンセプト・テクノロジー本社
Price：Other

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Utilizing existing control to connect. 'Orizuru MES'

Linking field data from the PLC/SCADA era to improvements and operations.

The control environment of factories is expanding from an era where it was solely reliant on DCS to a more flexible configuration that combines PLCs, SCADA, and industrial PCs. This makes it crucial to connect and utilize the data generated on-site while leveraging existing equipment. If the control layer and management layer remain separate, improvements and decision-making cannot be fully realized. 'Orizuru MES' is designed to be easily implemented in stages from necessary functions without significantly changing existing equipment, systems, or procedures. By collaborating with ERP, PLM, and FA, it visualizes progress, quality, and equipment information, making it easier to bridge the information gap between control and operations. 【Features】 ■ Utilizes existing equipment information, facilitating visualization ■ Collaborates with ERP, PLM, and FA, making it easier to connect to operational improvements ■ Allows for phased implementation of necessary functions, reducing on-site burden *For more details, please download the PDF. ■ Reference Article What are the differences between DCS, PLC, and SCADA? A comparison of control management systems https://www.cct-inc.co.jp/koto-online/archives/360

Company：コアコンセプト・テクノロジー本社
Price：Other

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Now supports the challenging visual inspection of food! AI Visual Inspection Execution System.

It is now possible to classify foods such as fruits, which were difficult to process in image processing until now! An appearance inspection execution system that has overwhelmingly few image samples and can be quickly set up from introduction to launch.

The AI appearance inspection execution system "R-Vision AI" is an image processing system that uses machine learning to analyze good product samples and extract differences as defective products. Until now, many appearance inspections have focused on emphasizing defective products to actively detect them, which led to the problem of over-detection and complicated threshold settings. The R-Vision AI system was created as a solution to this issue. It achieves an appearance inspection system that is closer to the human eye. AI can also solve challenges in tasks that have been difficult for image processing, such as sorting fruits and inspecting metal parts with hairline scratches. A significant feature is that it requires fewer images for machine learning compared to other AI systems. Typically, it can determine the quality with just about 30 images of good products for deep learning. Another feature is that the user interface is refined and extremely user-friendly, allowing operators with basic skills to implement it. AI image processing can overcome cases that were previously given up on in appearance inspections! *For more details, please refer to the PDF document or feel free to contact us.

Company：リョーワ R-Vision事業部
Price：Other

Image Processing Equipment
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Solving the inability to distinguish defects and patterns... AI appearance inspection execution system

Even with changes to lighting and lenses, sorting that was difficult with image processing is now possible with AI! Since there are overwhelmingly few image samples, the setup from introduction to launch is quick!

The AI appearance inspection execution system "R-Vision AI" is an image processing system that uses machine learning to analyze good product samples and extract differences as defective products. Until now, most appearance inspections have focused on emphasizing defective products to actively detect them, but this approach has led to the problem of over-detection, making threshold settings complicated. The R-Vision AI system was developed as a solution to this issue. It achieves an appearance inspection system that is closer to the human eye. AI can also solve challenges in tasks that have been difficult for image processing, such as sorting fruits and inspecting metal parts with hairline scratches. A significant feature is that it requires fewer images for machine learning compared to other AI systems. Typically, it can determine product quality with just about 30 images of good products for deep learning. Another feature is that the user interface is sophisticated and extremely user-friendly, allowing operators with basic skills to implement it effectively. AI image processing can overcome cases that were previously given up on in appearance inspections! *For more details, please refer to the PDF materials or feel free to contact us.

Company：リョーワ R-Vision事業部
Price：Other

Image Processing Equipment
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[42Q Case Study] Major Clean Energy OEM

Flexible MES cloud solution! A case where total costs were reduced and manufacturing speed improved.

We would like to introduce a case study of the cloud-based production management system MES "42Q" implemented at a major clean energy OEM. The company was looking for a new MES solution as a new factory was set to open, requiring the ability to obtain consistent and accurate data from all manufacturing plants, along with the provision of standard batch genealogy and serialization functions. The solution was successfully implemented in less than two months, allowing the new factory to operate as scheduled. Additionally, thanks to the transparency of genealogy and traceability, on-site analysis and product analysis, which previously took three months, could now be executed in just a few days. 【Case Overview】 ■ Challenge: A manufacturing execution system (MES) that provides visibility across multiple manufacturing facilities was needed. ■ Benefits - No need for infrastructure installation or maintenance - Flexibility to handle high-mix and low-mix products with a single solution - Subscription model providing price predictability - Seamless integration between lifecycle management and ERP systems *For more details, please refer to the PDF document or feel free to contact Sanmina.

Company：サンミナーSCIシステムズ・ジャパン本社
Price：Other

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[Seminar] Safe and Secure MES Implementation - Knowing Risks to Avoid Failures -

Let's make sure to properly understand the risks of implementing MES.

The introduction of a system is a significant step, and without digitalization, factory DX cannot be achieved; without the introduction of the core system, MES, a true smart factory cannot be born. However, it is important to note that the "introduction of a system" is not the goal but the starting point, and the system (software) is merely a tool; how it is used is ultimately up to the customer. On the other hand, it may be challenging for customers to repeatedly experience the introduction of large-scale systems like MES. Therefore, based on our past experiences, we would like to organize and convey key points that should be considered. In the manufacturing industry, the wave of smartization has reached a point where choosing to maintain the status quo out of fear of risks during implementation itself becomes a significant risk. Let us prepare for a safe and secure MES introduction.

Company：スマート工場研究所
Price：Other

Production Management System
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[PlusFORCE Implementation Case] Food Manufacturer

Proposal and realization of a one-stop solution for MES/SCADA/PLC utilizing expertise and know-how from the process manufacturing industry!

We would like to introduce a case study where our "PlusFORCE Manufacturing Execution" system was implemented at a food manufacturer with sales of 500 billion yen. In the company's current factory, manual operations were the main focus in the manufacturing process, leading to a high level of worker involvement, and both manufacturing plans and actual results were managed on paper, resulting in poor work efficiency. After the implementation, planning, instructions, operation monitoring, and actual results in the manufacturing process could be centrally managed. 【Case Overview】 ■Before - Workers were constantly operating and monitoring equipment on-site. - Managers were handwriting plans on a whiteboard. ■After - With the automation control via PLC, it was no longer necessary for workers to be on-site constantly (they only needed to respond when alerts were triggered). *For more details, please download the PDF or feel free to contact us.

Company：東海ソフト
Price：Other

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[Report] MES (Manufacturing Execution System) Market for Life Sciences

"Free samples" are currently being offered! Please check the application method from the [PDF download] button or apply directly through the related links.

According to the latest report from Grand View Research, Inc., the global market size for MES (Manufacturing Execution Systems) for life sciences is expected to record a CAGR of 12.2% from 2024 to 2030, reaching 6 billion USD by 2030. The adoption of MES has emerged as a critical factor in the life sciences industry, helping to enhance efficiency, compliance, and innovation across the entire production process. In North America, the adoption of MES in the life sciences sector is rapidly increasing, highlighting its transformative impact on manufacturing workflows. The life sciences industry, including pharmaceuticals and biotechnology, requires advanced approaches to manufacturing management. MES plays a crucial role by providing integrated, data-driven solutions that meet and exceed regulatory requirements, reduce risks, and ensure product quality.

Company：グローバルインフォメーション
Price：500,000 yen-1 million yen

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Connecting the quality and processes of precision machinery | Orizuru MES

Maintain a high-precision site without stopping.

In the manufacturing field of precision machinery, it is essential to accurately grasp the production status across multiple processes while maintaining high quality standards. In particular, if progress and quality information for each process become fragmented, it can lead to delays in addressing defects and an increase in rework. Orizuru MES supports the visualization of process, performance, and quality information while leveraging existing equipment, systems, and procedures. This contributes to stabilizing quality and improving management accuracy in the production site. 【Usage Scenarios】 - Real-time monitoring of process progress - Recording and management of quality data and defect information - Centralized management of materials and inventory information 【Benefits of Implementation】 - Stabilization of quality - Reduction of rework and defect response - Improvement of productivity

Company：コアコンセプト・テクノロジー本社
Price：Other

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Factory Smartization That Advances Without Stopping | Orizuru MES

Don't just stop at envisioning ideals. From the current situation, steadily move towards smart transformation.

A smart factory is an initiative that connects the entire manufacturing process through IoT and data utilization, continuously enhancing productivity and quality. It requires not only the automation of equipment but also a review of the flow of processes and information to better operate the entire factory. However, even if the ideal vision is clear, it is not easy to advance equipment updates and system renewals all at once. That is why 'Orizuru MES' adopts a configuration that allows for the gradual introduction of necessary functions while leveraging existing equipment, systems, and procedures. This enables the advancement of smart factory transformation without placing undue burden on the site. 【Features】 ■ Retrofit existing environments and start without a complete overhaul ■ Select necessary sub-packages for a small start and gradual expansion ■ Build a foundation that connects the site and management by collaborating with ERP, PLM, and FA *For more details, please download the PDF. ■Reference Article What is a smart factory? Explaining the benefits, success points, and case studies https://www.cct-inc.co.jp/koto-online/archives/11

Company：コアコンセプト・テクノロジー本社
Price：Other

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To prevent stopping investment decisions | Orizuru MES

I understand the necessity, yet progress is slow. We will overcome that barrier with ROI and phased implementation.

Even if the necessity of MES is understood, one reason why actual implementation does not progress is that it is difficult to demonstrate the return on investment. While there may be a sense of improvement potential on the shop floor, if the effects cannot be explained in a way that leads to management decisions, discussions about smart factory initiatives tend to remain at the conceptual stage. Furthermore, if the premise is to make significant changes from the outset, the burden on the shop floor and the hurdles for approvals also increase. That is why "Orizuru MES" is strong in that it can start gradually from the necessary functions and make it easier to visualize ROI. It can be implemented without making significant changes to existing equipment, systems, or procedures, allowing for a reduction in initial burdens while advancing smart factory initiatives with tangible improvements on the shop floor. 【Features】 ■ Can start with necessary functions, making it easier to reduce initial burdens ■ Visualizes ROI, making it easier to proceed while confirming progress ■ Utilizes existing equipment and systems, making it easy to implement without stopping the shop floor *For more details, please download and view the PDF. ■Reference Article Why is MES Important? Exploring the Key to Realizing Smart Factories https://www.cct-inc.co.jp/koto-online/archives/765

Company：コアコンセプト・テクノロジー本社
Price：Other

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To the site that shortens lead time. Orizuru MES

Reduce the difficulty in seeing progress and control the backlog and delays.

When lead times are extended, work-in-progress increases, making delays in delivery and cost overruns more likely. Moreover, it becomes difficult to respond to market changes, and the capacity on the shop floor tends to be lost. In other words, reducing lead times is not just about shortening time; it is an effort to streamline the flow of the entire factory. 'Orizuru MES' makes it easier to promote this improvement on the shop floor. It allows for easy understanding of progress, inventory, and equipment information, while also making it easier to identify delays and bottlenecks in each process. Furthermore, since it can be implemented in stages while utilizing the existing environment, it becomes easier to start improvements without waiting for a complete overhaul. [Features] ■ Easy to grasp progress, inventory, and equipment information ■ Easy to identify delays and bottlenecks in each process ■ Facilitates gradual improvements while leveraging the existing environment *For more details, please download the PDF. ■Reference Article What is lead time? A clear explanation of its meaning and methods for reduction https://www.cct-inc.co.jp/koto-online/archives/620

Company：コアコンセプト・テクノロジー本社
Price：Other

Process Control System
Execution System

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From Factory to Overall Optimization [Orizuru MES]

Multiple varieties, fluctuations, and labor shortages. A foundation that connects in a turbulent environment.

Smart manufacturing is a concept that optimizes the entire manufacturing process, not just the factory, but also design, production, logistics, and maintenance. The background includes the diversification of customer needs, the rapid pace of market changes, and labor shortages. In other words, what is required is a system that can move the whole in response to changes, rather than partial optimization. The starting point for this is to connect and organize execution information such as progress, quality, equipment, and inventory within the factory into a usable form on-site. 'Orizuru MES' is structured to allow for phased implementation of necessary functions while leveraging existing equipment, systems, and procedures. It supports the foundation for moving from factory-level optimization to overall optimization by collaborating with ERP, PLM, and FA. 【Features】 ■ Utilizes existing environments and is easy to implement in phases ■ Easily connects information by collaborating with ERP, PLM, and FA ■ Facilitates the use of progress, quality, equipment, and inventory information for improvements *For more details, please download the PDF. ■ Reference Article What is Smart Manufacturing? Introducing initiatives and technologies to realize it https://www.cct-inc.co.jp/koto-online/archives/201

Company：コアコンセプト・テクノロジー本社
Price：Other

Process Control System
Execution System

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Only 30 image samples! AI appearance inspection execution system.

Anyone can easily set it up! An overwhelmingly fast appearance inspection execution system with significantly fewer image samples, from introduction to launch.

The AI appearance inspection execution system "R-Vision AI" is an image processing system that learns from good product samples and extracts differences as defective products. Until now, most appearance inspections have focused on emphasizing defective products and actively detecting them, which led to the problem of over-detection and complicated threshold settings. The R-Vision AI system was created as a solution to this issue, achieving an appearance inspection system that is closer to the human eye. It also resolves challenges in tasks that image processing has struggled with, such as sorting fruits and inspecting metal parts with hairline scratches. A significant feature is that it requires fewer images for machine learning compared to other AI systems; typically, only about 30 good product images are needed for deep learning to determine quality. Another feature is that the user interface is sophisticated and extremely user-friendly, allowing operators with basic skills to implement it. AI image processing can overcome cases that were previously given up on in appearance inspections! We are currently accepting free sample evaluations. *For more details, please contact us.

Company：リョーワ R-Vision事業部
Price：Other

Image Processing Equipment
Visual Inspection Equipment
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Next-Generation MES Production Execution System for Semiconductors

MES that achieves yield improvement and production efficiency enhancement.

In the semiconductor industry, improving yield is a critical issue directly linked to profitability. Minor fluctuations in the manufacturing process can lead to the occurrence of defective products, potentially resulting in increased costs. It is essential to visualize the manufacturing process through real-time data collection and analysis to detect anomalies early. Our next-generation MES contributes to yield improvement and enhanced production efficiency through real-time data collection and analysis. 【Utilization Scenarios】 - Process management in semiconductor manufacturing lines - Data analysis in quality control departments - Investigation of causes when defects occur 【Effects of Implementation】 - Improved yield - Increased productivity - Cost reduction

Company：BREXA Technology（旧社名：アウトソーシングテクノロジー）
Price：50 million yen-100 million yen

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[Market Report] ASEAN Smart Factory Market

The ASEAN smart factory market is rapidly expanding and is expected to reach 28.85 billion USD by 2031.

The ASEAN smart factory market is poised for a transformative decade, with revenues expected to surge from $9.76 billion in 2022 to an estimated $28.85 billion by 2031. This remarkable growth trajectory is supported by a robust compound annual growth rate (CAGR) of 12.80% during the forecast period from 2023 to 2031. The ASEAN smart factory market is anticipated to revolutionize manufacturing processes across various industries, including automotive, electronics, food and beverage, and pharmaceuticals. As more companies recognize the benefits of smart manufacturing, investments in automation and digitalization are expected to rise sharply. For application methods, please check the [PDF download] button or apply directly through the related links.

Company：Panorama Data Insights Ltd.
Price：Other

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Execution System Product List and Ranking from 27 Manufacturers, Suppliers and Companies | IPROS GMS

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