Artificial Intelligence
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Overcoming the Top 5 Challenges in Changeover Processes

by
DeepHow
January 29, 2025
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Summary

Struggling with slow or inefficient changeovers? DeepHow breaks down the top five challenges and how to overcome them with AI-driven solutions.

Let’s face it, changeovers are a double-edged sword. While they enable flexibility and responsiveness to market demands, they also pose significant operational challenges to execute flawlessly. From prolonged downtime to safety risks, inefficient changeovers can derail production schedules and inflate costs. However, with the right strategies and tools—like video SOPs—these challenges can be effectively addressed.

Here’s a look at the top five changeover challenges manufacturers face and actionable solutions to overcome them.

1. Prolonged Downtime

The Challenge: Lengthy changeovers disrupt production schedules, leading to missed deadlines and reduced throughput.

Solution:

  • Implement video SOPs that provide step-by-step guidance, reducing guesswork and ensuring operators follow the correct procedures.
  • Train workers to identify bottlenecks using data analytics to pinpoint stages that take the longest.
  • Create a changeover “task force” that evaluates and improves the process over time.

2. Lack of Standardization

The Challenge: Variability in how changeovers are performed across shifts or sites leads to inconsistent results and inefficiencies, posing risks to safety, scrap, and downtime. Even a fraction of a millimeter off can result in production scrap.

Solution:

  • Use AI-powered tools like DeepHow to document best practices and distribute them across teams.
  • Employ visual and interactive SOPs to ensure that every worker has access to the same high-quality training materials.
  • Regularly audit procedures and provide refresher training based on video insights.

Key Tip: Multimodal SOPs can ensure consistency across global facilities, bridging communication gaps.

Read the article in full here.

DeepHow
DeepHow

DeepHow was founded in 2018 by a team of ex-Siemens innovation leaders and experts who saw an unmet need to transfer knowledge in the skilled trades labor market. We have a proven track record of driving successful digital innovation for various manufacturing and service industries.

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