Notice of our Vaning Master exhibition at 【MFLP ICT LABO 2.0】.

Improvement of loading for parts transportation using the TP box loading improvement system.

The TP Box Loading Improvement System is a system (algorithm) designed to maximize the loading efficiency of pallet transport for products utilizing TP boxes. The TP boxes have standard-sized blocks on the bottom, and by combining the interlocking parts of these blocks, different sizes of TP boxes can be loaded onto a pallet. However, combining TP boxes of different sizes to enhance the loading efficiency onto a pallet has been very challenging and could only be handled by skilled workers. The newly developed TP Box Loading Improvement System enables inexperienced individuals to achieve a high level of loading efficiency by allowing for multi-layer stacking on pallets by leveling the top layer and improving workability by consolidating containers of the same size.

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Automatically create loading plans that minimize dead space. Presentation of materials introducing features and improvement examples. Trial version available.

"Banning Master" is a system that visualizes cargo based on size information and creates loading plans considering weight balance, constraints, and workability. It optimizes loading efficiency for containers, trucks, pallets, etc., and can flexibly respond to additional or canceled cargo. It can also be used for continuous improvement of loading efficiency by identifying bottlenecks. We offer a "software version" that can be customized to fit your business needs, as well as a "cloud version" that requires no installation. 【Features】 ■ Automatically calculates and visualizes highly efficient loading plans ■ Properly calculates the center of gravity, preventing cargo shifts and contributing to improved transport quality ■ Many successful implementations in automotive parts, electronics, food, and building materials manufacturers ■ Capable of providing algorithms that consider loading rules ★ We are currently offering materials that include examples of improvements in import and export of products. You can view them immediately via "PDF Download." * A trial version of the cloud version (10 days) is also available. Please contact us for more details.

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Visualization of logistics sites" "Reduction of working hours at logistics sites

The loading software has many implementation cases from logistics companies to manufacturers, and the effects of its introduction are significant. ● The reasons are... - Shipping size, weight, and quantity are managed in-house. - With the cooperation of the information systems department (IT), data can be linked with the loading software for calculations as many times as needed. - It is possible to determine increases or decreases in shipping volume based on remaining space [important]. - Time can be saved by reducing inquiries to freight forwarders. ■ Current implementation site A logistics company of a certain food manufacturer group. ■ On-site challenges - Want to immediately answer "How many containers?", "What types of containers?", and "What is the remaining space?" - Want to maximize loading during imports from China and provide loading instructions to the Chinese side. - The loading rules for products (packaging) are either unknown or have become unclear due to being personalized within the company. ■ Operations/Requirements - Which products and how many will be loaded into the remaining space? - Heavy items should be loaded on the lower tier.

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It is possible to develop special loading conditions as a dedicated algorithm.

In building material manufacturers, heavy building materials are loaded onto trucks after creating a load plan, taking safety and workability into consideration. Before the introduction of the Vanning Master, multiple office employees planned using Excel (including the creation of work diagrams) while considering constraints related to safety, workability, and unloading. By developing a unique algorithm that takes into account constraints related to loading, we have successfully significantly reduced these administrative tasks. The optimization of space utilization through the algorithm generally aims to increase the loading (filling) rate as the primary objective. Prioritizing workability makes the evaluation criteria for the results of the algorithm ambiguous, which made the development difficulty very high. The development of the algorithm for building material manufacturers was made possible by our consultants, who understood the field and conducted detailed interviews to clarify the operational rules and metrics involved in the work.

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Determination of the dimensions of the packaging box for the new product" "Development of pallet stacking patterns

"Palette Master" is a system that proposes the most efficient way to load pallets. It is a convenient optimization tool useful for single-item loading, such as "wanting to switch to T11 type pallets," "deciding the dimensions of new product packaging boxes," and "warehouse transfer." "Palette Master" is dedicated pallet loading software. It is not a plugin for Vanning Master. Since customization is necessary to fit the logistics site conditions, we will submit a quotation after hearing about the situation. ■ Implementation Effects 1) Instantly simulates based on pallet size and product size, displaying multiple optimal loading patterns. You can choose loading patterns suitable for storage and transportation purposes. 2) With Palette Master, centralized management of information regarding loading across various departments is possible from the development of new containers. - It allows consideration of optimal loading during the container development stage. - Centralizing the database makes information sharing easier. - Authority management is implemented by dividing general users, administrators, and viewers.

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Fare reduction, automatic selection of packaging boxes, work efficiency improvement.

■Do you have any of these concerns? 1) The variety of exterior box types makes selecting the appropriate box a challenge that directly affects shipping costs. 2) There is a discrepancy in box selection accuracy between experienced and new staff, causing shipping personnel to struggle with box selection and feel stressed. 3) The number of boxes cannot be determined until packing is attempted, making it impossible to prepare boxes and shipping labels in advance. These concerns can be resolved with the introduction of the Vanning Master Box Packing BOX Engine. ■Benefits of Implementation 1) Automatically suggests the smallest cardboard box that fits the three dimensions of the shipping items, aiming to reduce shipping costs. 2) By integrating with the inventory management system and printing box information on shipping instructions such as picking lists, the worries about box selection are eliminated. 3) Knowing the number of boxes at the shipping planning stage allows for box preparation, packing details, shipping labels, and delivery slips to be issued at the order stage. 4) Shipping cost calculations can be done at the order stage. 5) It becomes easier to consider reducing the variety of cardboard types or introducing new ones.

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White logistics," "reduction of overtime hours," "improvement of services to shippers.

■Objective As part of business improvement, create a vanning plan using a loading simulation tool to reduce working hours. ■Challenges 1) Data Input - Support converting shipping request forms (PDF) from shippers into Excel data. - Provided an Excel macro to reduce data entry workload. 2) Loading Diagram - Standard features are provided, but we also accommodate modification requests. 3) Manual Placement Operations - Does not match the expertise of seasoned professionals. ⇒ Addressed with the manual placement modification feature of the standard package. 4) Manual Placement Operations - Seasoned professionals are not skilled in mouse operations. ⇒ An assistant creates the loading diagram under the guidance of the seasoned professional, enabling the transfer of expertise.

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From personalization to standardization! Reduction of work time!

■Objective Reduce the workload of the planning staff and shorten the time required to create loading diagrams. ■Operation/Requirements ・Maximize volume under the constraint of a maximum load weight of 5 tons. ・Develop a weekly shipping plan. *Loading for one day can be advanced by day of the week. ・Automate the creation of loading diagrams. ■Implementation Effects ・Tasks have been transferred from individual workers to multiple people. ・Reduced time required for planning and creating loading diagrams from a total of 4 hours over several days to 30 minutes.

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We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will introduce a number of products, including new ones. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to attend this event. 【 Exhibition Name 】 31st Measurement and Measurement Exhibition INTERMEASURE 2024 Official Website: https://intermeasure.org/itms2024/ 【 Dates 】 From __ (Wednesday) to __ (Friday), 202_ 【 Venue 】 Tokyo Big Sight (Tokyo International Conference Center) East Hall (Booth Number: ___) 【 Exhibited Products 】 - Air Leak Tester - Hydrogen Leak Detector - Pin Hole (Reference Test Piece) and more. For more details, please refer to the "Related Materials" (PDF file) below.

We will be exhibiting at the exhibition "JASIS 2026," where cutting-edge science, analysis systems, and solutions come together. At our booth, we will showcase systems used for gas analyzers. Scheduled products for exhibition: - Automatic analysis system for high-purity gas products - MS-LIBS

[Lecturer] Arthur D. Little Japan, Inc. Principal Yuga Yabuuchi Manager Takuma Mitsukuni Consultant Takayuki Nakagami [Key Lecture Content] With the spread of generative AI, the focus of the AI development competition is rapidly shifting from "learning" to "inference." The emergence of AI agents has dramatically increased the volume of inference processing and is beginning to significantly change the competitive structure of the entire AI infrastructure, including AI semiconductors, data centers, and the cloud. These changes are also bringing new business opportunities for Japanese companies. In this lecture, we will analyze the structural changes in the AI inference market and the strategies of key players, and explain the areas of AI that Japan should strengthen, as well as the strategic direction for Japanese companies to establish a competitive advantage. [Lecture Items] 1. Shift from "learning" to "inference" in the AI market 2. New competitive axes that become important in the AI inference era 3. Methods and initiatives of major companies aimed at improving AI inference efficiency 4. Importance of memory selection in improving AI inference efficiency 5. Direction of initiatives towards achieving sovereign AI 6. Q&A / Business card exchange

[Speaker] Hao Li Dai, Head of Renewable Energy Aggregation Division, Natural Power Co., Ltd. [Key Lecture Content] With the spread of generative AI and the new construction of data centers and semiconductor factories, Japan's electricity demand, which has been declining for a long time, is expected to turn to an increase. On the other hand, the output control of renewable energy is increasing, becoming prolonged, and expanding in scope, while the revenue predictability for power sources is decreasing. Why is it that while demand is increasing, power sources are not being rewarded? The issue is not just about "quantity," but also about the mismatch of "time," "location," and "risk bearers." In this lecture, we will discuss our company's initiatives and organize the methods for maximizing profits in the post-FIT era, as well as the conditions under which aggregators can support fixed prices. We hope this will assist in the decision-making of both power holders and consumers. [Lecture Items] 1. How far will electricity demand grow, and what will it seek? 2. The economics of power sources in the post-FIT era 3. How to earn by power type 4. Why is the ecosystem not functioning? 5. Conditions for establishing "buying at a fixed price" 6. Decision-making from tomorrow 7. Q&A / Business card exchange

We will hold a "FA and Drive Technology Seminar" for maintenance technology personnel of equipment and machinery. Technical representatives from manufacturers will serve as instructors, providing highly specialized technical information. Participants will have the opportunity to exchange information with the instructors and resolve any questions or concerns on the spot. You can learn consistently from basic knowledge about equipment and robots to practical knowledge. We sincerely look forward to your participation. 【Seminar Overview】 ■ Date: September 29, 2026 (Tuesday) 15:00 - 16:00 ■ Participation Fee: Free (Capacity: First 100 participants) ■ Format: Online ■ Instructor: Tsubakimoto Chain Co. ■ Course: Basics of Chains and Sprockets ~ Types of Chains and Sprockets and Maintenance Points ~ * For more details, please download the PDF or feel free to contact us.