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Optimization Software Product List and Ranking from 44 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Oct 15, 2025～Nov 11, 2025
This ranking is based on the number of page views on our site.

Optimization Software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Oct 15, 2025～Nov 11, 2025
This ranking is based on the number of page views on our site.

  1. くいんと Tokyo//software
  2. FsTech Kanagawa//software
  3. テクノロジック Tokyo//CAD/CAM
  4. 4 ブロードリーフ Tokyo//software
  5. 5 ネオ Kanagawa//Industrial Machinery
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Optimization Software Product ranking

Last Updated： Aggregation Period:Oct 15, 2025～Nov 11, 2025
This ranking is based on the number of page views on our site.

  1. 3D relief sculpture software テクノロジック
  2. Experimental Design & Optimization Software 'MODDE' インフォコム サイエンスグループ
  3. Profile Grinding Machine Chart Plotter - NTP-5 ネオ
  4. General-purpose optimization software 'fxLooper' Anotherworker
  5. 4 Structural optimization software "HiramekiWorks" 構造計画研究所

Optimization Software Product List

91～101 item / All 101 items

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[Case Study] Optimization of Ship Shape (2) 'AIPOD'

[Case Study] Optimization of Ship Shape (2) 'AIPOD'

A case that demonstrates the ability to appropriately support the discovery of efficient design areas that had been excluded from consideration!

We would like to introduce a case study on the optimization of ship shapes (2) using our intelligent optimization software "AIPOD." This software is designed to be very user-friendly, even for those who are just starting with optimization. We conducted optimization calculations targeting eight design variables, with the objective function being the minimum resistance coefficient, two constraint conditions, and a CFD calculation of 100 cases. The optimization calculation with 83 cases achieved a performance improvement of 4.68%, surpassing the 4.13% of competing software. [Case Overview] - By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. - It can appropriately support the discovery of efficient design areas that were previously considered outside the scope of consideration. *For more details, please download the PDF or feel free to contact us.

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  • Other Software

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[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

Achieved a performance improvement of 52.31%, surpassing the 49.36% of competing software!

We would like to introduce a case study on the optimization of the hub shape of a diagonal flow fan using our intelligent optimization software "AIPOD." This software efficiently finds superior design solutions for structural, thermal fluid, acoustic, and multiphysics coupling problems. We conducted optimization calculations targeting 14 design variables, with the objective function being the maximum pressure difference at the inlet and outlet, and one constraint condition, using 150 CFD calculation cases. The optimization calculations resulted in a performance improvement of 52.31%, surpassing the 49.36% achieved by competing software. [Case Overview] - By enabling the Bound-break function during the AIPOD optimization process, we obtained optimization results that exceeded expectations. - Although competing software was able to capture efficient design areas for several design variables, it was limited to exploring only within that range due to constraints, preventing the discovery of further optimal candidate solutions. *For more details, please download the PDF or feel free to contact us.

  • 斜流ファンのハブ形状の最適化2.PNG
  • 斜流ファンのハブ形状の最適化3.PNG
  • Other Software

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[Case Study] Optimization of Entrance Shape 'AIPOD'

[Case Study] Optimization of Entrance Shape 'AIPOD'

During the optimization process, by turning on the Bound-break feature, you can achieve optimization results that exceed expectations!

We would like to introduce a case study on the optimization of inlet shapes using our intelligent optimization software "AIPOD." This software allows for the visual construction of the calculation process through its graphical definition features. Focusing on five design variables, the objective function aimed at minimizing the weighted outlet total pressure/velocity non-uniformity, with optimization calculations conducted over 60 cases. The optimization calculations achieved a performance improvement of 54.89%, surpassing the 52.34% of competing software. [Case Overview] - By turning on the Bound-break feature during the optimization process of AIPOD, optimization results exceeding expectations were obtained. - When comparing the optimization progress of AIPOD with that of competing software, although the competing algorithm initially outperformed AIPOD, its local performance declined thereafter, with no further improvements observed. *For more details, please download the PDF or feel free to contact us.

  • 入口形状の最適化3.PNG
  • 入口形状の最適化4.PNG
  • Other Software

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Design of a water pump with a shrouded impeller.

Design of a water pump with a shrouded impeller.

Introducing the creation of parametric cross-sectional shapes, as well as the camber and thickness of blades!

In the shape optimization of water pumps with shrouded impellers, it is important to have an efficient parametric model with numerous design variables. This time, we will introduce the design/modeling of water pumps, which have many shape variations and a high degree of freedom for fine-tuning. With the optimization software CAESES, equipped with CAD functions, robust parametric models can be flexibly created while incorporating the designer's ideas, and it is utilized in various stages of the design process. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

  • シュラウド付きインペラを持つウォーターポンプの設計2.png
  • シュラウド付きインペラを持つウォーターポンプの設計3.png
  • シュラウド付きインペラを持つウォーターポンプの設計4.png
  • シュラウド付きインペラを持つウォーターポンプの設計5.png
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  • シュラウド付きインペラを持つウォーターポンプの設計7.png
  • Structural Analysis
  • Other CAD
  • Other pumps

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Optimization of the performance of the AIPOD battery pack water cooling plate.

Optimization of the performance of the AIPOD battery pack water cooling plate.

Under the restriction of a pressure loss dp of less than 25 kPa for the water-cooled plate, the temperature difference across the section is reduced by 13.403%!

Using the general-purpose optimization software AIPOD, we will optimize the performance of the water cooling plate for battery packs used in new energy vehicles. Under unsteady low-temperature heating conditions and steady flow resistance conditions, when the minimum temperature of the cross-section rises by 5°C, the temperature difference in the Z-direction of the battery cell's 1/2 cross-section decreases, but the pressure loss in the flow path must be less than 25 kPa. The water cooling plate model used here is created with the parametric modeling software CAESES, and only the flow path area inside the water cooling plate will be the target for optimization, while other components and conditions will remain unchanged. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

  • Other analysis software

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[AIPOD] Shape Optimization of Heat Sinks for IGBTs

[AIPOD] Shape Optimization of Heat Sinks for IGBTs

Optimization calculations are conducted in the design space using the optimization algorithm SilverBullet installed in AIPOD!

Using the general-purpose optimization platform AIPOD, we will implement the pin layout optimization for heat sinks used for IGBTs in electric systems of new energy vehicles. Heat sinks are components that receive heat from a heat source and release it to the outside air. For this purpose, it is ideal for them to have a shape that maximizes surface area in accordance with constraints. Therefore, optimizing heat sinks is an important factor for the stable performance of electronic components and their long-term operation. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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  • Other analysis software

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MOAI Platform Supply Chain Optimization Module Group

MOAI Platform Supply Chain Optimization Module Group

Integrated optimization that covers all stages from strategic decision-making to operational decision-making, from procurement to sales is possible!

We would like to introduce the "Supply Chain Optimization Module Group" included in the MOAI platform. By merging two approaches, simulation-based and optimization-based, we aim to optimize the entire supply chain. This allows not only for the optimization of individual issues (e.g., production optimization, delivery optimization) but also enables the creation of optimization-based Integrated Business Planning (IBP). Please feel free to contact us if you have any inquiries. 【Features】 ■ Capable of solving large-scale problems quickly ■ Can be described in a unified modeling language, SCML, at the API level ■ High degree of freedom in modeling, enabling rapid development ■ Capable of building optimization-based S&OP, creating short to medium-long term production optimization plans, and integrated supply chain optimization ■ Highly versatile, can consider various constraints, easy to customize, and can be implemented in a short time *For more details, please download the PDF or feel free to contact us.

  • Software (middle, driver, security, etc.)

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Eftax Co., Ltd.

Eftax Co., Ltd.

Visualizing the future of the site and the company.

MIELDE utilizes accumulated data and employs mathematical optimization algorithms to propose the optimal operating schedule for production equipment. Additionally, by visualizing the skills and work efficiency of operators based on the time taken for production, it supports skill enhancement and improvement of work efficiency. The target customers are companies in the manufacturing industry.

  • others

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[MOAI Platform] Personnel Allocation Optimization Module Group

[MOAI Platform] Personnel Allocation Optimization Module Group

We can accommodate various practical constraints such as employee requests, required quantities by time slot, by type of work, and by skill level!

We would like to introduce the "Staffing Optimization Module Group" included in the MOAI platform. Due to the decrease in the workforce, it has become increasingly difficult to secure the necessary personnel, and the diversification of work styles such as full-time, part-time, and flexible hours has complicated shift management. Additionally, with the diversification of people's lifestyles, creating staffing plans that incorporate various requests from employees can enhance employee satisfaction and labor productivity. 【Features】 ■ Capable of addressing various practical constraints such as employee requests, required quantities by time slot, by task, and by skill. ■ Able to efficiently solve large-scale problems. *For more details, please download the PDF or feel free to contact us.

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NCStudio

NCStudio

Optimizing NC data created with CAD/CAM contributes to reducing cutting time! There are cases of up to a 27% reduction.

NCStudio is an integrated application for NC programming that was born in Japan to optimize NC data. NC data output from conventional CAD/CAM is never the optimal NC data. NCStudio uses high-speed, high-precision calculation algorithms. It optimizes all NC data generated from CAD/CAM systems, extending tool life and reducing cutting time, among other benefits. *For more details, please download the PDF or feel free to contact us.*

  • Milling machine

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[MOAI Platform] Power Optimization Module Group

[MOAI Platform] Power Optimization Module Group

Not only can we predict demand quantities, but we can also optimize while forecasting dynamically fluctuating uncertainties!

We would like to introduce the "Power Optimization Module Group" included in the MOAI platform. For the startup and shutdown issues considering line security, we have prepared a new method that simultaneously achieves acceleration and high precision using MOAI. Regarding demand forecasting, we have developed a method not only to predict demand quantities but also to forecast dynamically fluctuating uncertainties, enabling real-time optimization for power flow problems. This allows for the generation of multiple scenarios and optimization that takes into account uncertainties and risks. 【Features】 ■ Capable of accommodating the expansion of renewable energy and changes in energy mix ■ Efficiently solves large-scale problems ■ Optimizes while predicting not only demand quantities but also dynamically fluctuating uncertainties *For more details, please download the PDF or feel free to contact us.

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