AI in Manufacturing

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Overview

In this case study, we will explore how INGENETIVE helped a manufacturing sector company to transform its business operations using Artificial Intelligence (AI). The client's name is ManuTech, and they operate in the heavy machinery manufacturing industry. INGENETIVE provided them with AI-powered solutions to overcome their operational challenges and achieve their business goals.

Client: NY Health and Hospitals Corp.

Services: Cloud Migration

Industry: Healthcare

Via: webflow.com

Challenge

ManuTech faced significant challenges in maintaining optimal equipment performance and reducing equipment downtime. They struggled with predicting equipment failures and scheduling maintenance, resulting in unplanned downtime and increased maintenance costs. Moreover, they lacked the capabilities to monitor and analyze equipment data in real-time, leading to suboptimal equipment performance and efficiency.

Secondly, ManuTech faced challenges in optimizing their supply chain operations. They struggled with managing their inventory levels and tracking the movement of raw materials and finished goods across their supply chain. They needed a solution that could help them track their inventory and shipments in real-time and optimize their supply chain operations.

Lastly, ManuTech struggled with analyzing and processing vast amounts of production data, including machine data, sensor data, and log data. They lacked the tools and technologies required to extract meaningful insights from this data and use them to improve their production processes and efficiency.

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Results

With INGENETIVE's AI-powered solutions, ManuTech achieved significant improvements in their business operations and performance. They were able to optimize their equipment performance, improve their supply chain operations, and extract valuable insights from production data.

Firstly, they were able to optimize their equipment performance, leading to reduced equipment downtime and maintenance costs. They achieved a 30% reduction in unplanned downtime and a 20% reduction in maintenance costs by using AI algorithms to predict equipment failures and schedule maintenance proactively.

Moreover, they were able to optimize their supply chain operations, resulting in improved inventory management and tracking. They achieved a 25% reduction in inventory holding costs and a 20% reduction in lead time by using AI-powered tools to track their inventory and shipments in real-time.

Lastly, they were able to extract valuable insights from production data, leading to improved production processes and efficiency. They achieved a 35% reduction in defects and a 25% increase in production efficiency by using AI algorithms to analyze and process production data and identify areas for improvement.

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Solution

To address ManuTech's challenges, INGENETIVE provided them with an AI-powered platform that integrated their equipment data, supply chain data, and production data analytics. The platform used AI algorithms to predict equipment failures and schedule maintenance proactively, enabling ManuTech to reduce equipment downtime and maintenance costs.

Moreover, the platform used machine learning algorithms to optimize supply chain operations and improve inventory management and tracking. It provided ManuTech with real-time visibility into their inventory and shipments, enabling them to optimize their supply chain operations and reduce inventory holding costs and lead time.

Lastly, the platform used AI-powered tools and technologies to analyze and process production data, including machine data, sensor data, and log data. It provided ManuTech with valuable insights on their production processes and efficiency, enabling them to identify areas for improvement and optimize their production processes.

Overall, INGENETIVE's AI-powered solutions helped ManuTech to transform its business operations and achieve its business goals. They were able to optimize their equipment performance, improve their supply chain operations, and extract valuable insights from production data, resulting in significant improvements in their performance and efficiency.

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