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  6. [Essential for companies struggling with production planning, etc.] Mathematical Optimization Seminar to be held!

[Essential for companies struggling with production planning, etc.] Mathematical Optimization Seminar to be held!

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last updated:May 18, 2022

アイ・ピー・エス ITエンジニアリング事業部
アイ・ピー・エス ITエンジニアリング事業部
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Explaining the key points of "mathematical optimization," which is attracting attention in the manufacturing industry for improving production planning efficiency and automation, optimizing inventory, and enhancing equipment utilization rates!

Our company will hold an online seminar titled "Beyond Data Analysis: Realizing Decision-Making and Planning" on Wednesday, June 8, 2022. Mathematical optimization is a problem-solving tool that enables decision-making and planning based on the results of data analysis. However, having specialized knowledge does not mean that real-world problems can be solved immediately. In reality, there are numerous challenges from modeling optimization problems to system implementation. In this seminar, we will welcome Professor Toshiharu Umetani from Osaka University’s Mathematical Optimization Chair, who will explain the challenges and countermeasures that arise when tackling real-world problems using mathematical optimization. This seminar is highly recommended for companies facing challenges in supporting production planning and decision-making, which tend to become personalized. [Overview] ■ Date and Time: June 8, 2022 (Wednesday) 16:30 - 17:45 ■ Agenda (1) Lecture by Professor Umetani... 60 minutes (2) Introduction of IPS services... 5 minutes (3) Q&A... 10 minutes *If you wish to participate, please apply from "Click here to register for the seminar." We look forward to your participation.

    Management Skills Seminar
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[Essential for companies struggling with production planning, etc.] Mathematical Optimization Seminar to be held!

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オンラインセミナー共有画像.jpg
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【Lecture Content】 ■Problem solving through mathematical optimization ■Combinatorial optimization and its application examples ■Application of mathematical optimization to real-world problems ■Challenges and countermeasures in real-world problems *For more details, please refer to the PDF document or feel free to contact us.

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[Seminar] Achieving Decision-Making and Planning Beyond Data Analysis

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Notice of the online seminar "Beyond Data Analysis: Achieving Decision-Making and Planning" on June 8, 2022 (Wednesday).

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Our company will hold an online seminar on "Achieving Decision-Making and Planning Beyond Data Analysis" on Wednesday, June 8, 2022. Mathematical optimization is a problem-solving tool that enables decision-making and planning based on the results of data analysis. However, having specialized knowledge does not guarantee immediate solutions to real-world problems. In reality, there are numerous challenges from modeling optimization problems to system implementation. In this seminar, we will welcome Professor Toshiharu Umetani from Osaka University, who will explain the challenges and countermeasures encountered when tackling real-world problems using mathematical optimization. This seminar is highly recommended for companies facing issues with production planning and decision-making that tend to become personalized. You can find detailed information in the related products and catalogs below.

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アイ・ピー・エス

アイ・ピー・エス ITエンジニアリング事業部

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Under this concept, we aim to establish SAP, which has been considered for large enterprises, in medium-sized and small-to-medium enterprises, aspiring to become the market leader in this sector. We have been conducting market development with bold pricing strategies and significant marketing investments, building a strong trust relationship with SAP. As digital transformation accelerates, we are starting new initiatives aimed at becoming a pillar of new business! This is not just about "implementing SAP," but about transforming into a business that focuses on "utilization" and "effectiveness." After the completion of SAP implementation, we work together with our customers to create management and operational effects using SAP. This is a business that no one has tackled yet, and it represents our commitment to full-scale business consulting services. We are exploring new businesses by leveraging new technologies such as AI, IoT, and RPA. We are pursuing consulting services that utilize these new technologies in management and business activities. For example, we have begun challenges such as realizing smart factories, achieving zero accounting personnel, and conducting marketing analysis. We aim to establish IPS's unique domain and the ideal state for our customers! IPS supports the "manufacturing reform of fighting medium and small enterprises!"

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