Supply Chain Management

Support for the introduction of AI technology in the manufacturing and operation phases! It is very useful for quality control through data collection.

Our company is building and accumulating an AI data infrastructure in parallel with the development of IoT applications, providing solutions that can be applied to various predictions, predictive maintenance, and quality control in the supply chain using artificial intelligence. The application range of CAE technology has traditionally been limited to the basic design, detailed design, and planning/design phases of experiments. We will also support the introduction of AI technology in the subsequent manufacturing phase (production, shipping) and operational phase. This is very useful for shortening the time to identify the causes of equipment troubles, for early detection of failures, and for quality control through data collection after product shipment. [Features] ■ Support for the introduction of AI technology in the manufacturing phase (production, shipping) and operational phase ■ Very useful for shortening the time to identify the causes of equipment troubles, for early detection of failures, and for quality control through data collection after product shipment *For more details, please refer to the PDF materials or feel free to contact us.

企業：デジタルソリューション
価格：Other

IoT

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If you are struggling with excess inventory.

Preventing excess inventory and maintaining optimal inventory is challenging! Visualizing information is the key to solving the problem!

Inventory management in international logistics can be challenging. With long lead times and the potential for accidents during transportation, it is easy to end up with excess inventory. However, holding extra inventory increases the burden of stock. Preventing excess inventory and maintaining optimal stock levels is difficult and can lead to a reliance on specific individuals in the field. These challenges in inventory management are significant issues. To address these challenges, Supply Chain Management (SCM) and Collaborative Planning, Forecasting, and Replenishment (CPFR) are useful as they centralize the management of production and distribution processes and facilitate information sharing across the entire supply chain. [Challenges] ■ Excess inventory - Long lead times - Losses due to accidents - Inventory held to avoid the risk of stockouts *For more details, please refer to the related links or feel free to contact us.

企業：ネクスト
価格：Other

Logistics and warehouse management systems

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Those troubled by the black-boxing of the logistics process.

Centralized management of production and distribution processes! We solve challenges through system implementation and outsourcing.

A common challenge in international logistics is that the logistics process becomes difficult to understand. Since many companies and organizations are involved in exports and imports, the procedures increase, making it hard to grasp the details of the exchanges. Because the logistics process has become a black box, cost analysis does not progress easily, and it becomes unclear which processes can have their costs reduced. To address these challenges, SCM (Supply Chain Management) and CPFR (Collaborative Planning, Forecasting, and Replenishment) are useful as they centralize the management of production and distribution processes and facilitate information sharing across the entire supply chain. [Challenges] ■ Black box of the logistics process - Complex interactions with overseas (local) companies - Difficulty in analyzing logistics costs *For more details, please refer to the related links or feel free to contact us.

企業：ネクスト
価格：Other

Logistics and warehouse management systems

ブックマークに追加いたしました

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ブックマークを削除いたしました

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これ以上ブックマークできません

会員登録すると、ブックマークできる件数が増えて、ラベルをつけて整理することもできます

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Supply Chain Management - メーカー・企業と製品の一覧