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Showing posts from March, 2025

AI or Failure: The Future of Factories Requires Immediate Action!

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AI or Failure: The Future of Factories Requires Immediate Action! In the current economic climate, there is no time for hesitation. Those who fail to act now will fall behind, and in this industrial competition, falling behind means complete exclusion. Artificial intelligence (AI), data collection, instant processing, and intervention these are the tools without which the factories of the future cannot operate. And not ten years from now immediately! Many companies have already realized this, while others still cling to outdated methods. But this is no longer the past! This is the new world order, where those who do not implement AI and do not prioritize development will quickly fall into a competitive disadvantage. AI and Maintenance: The Key to Quality and Competitiveness In the field of maintenance, this is particularly critical. The era of outdated reactive and scheduled maintenance strategies is over. AI-based predictive maintenance is not an option but an essential tool! ...

How to Restart Efficiently? - Optimizing Production Restart After Maintenance

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Introduction      Restarting production after maintenance is a critical point in manufacturing processes. While the goal of maintenance is to enhance the reliability and lifespan of machinery and equipment, an improperly managed restart process can lead to production downtime, quality issues, and significant cost increases. A well-designed and optimized restart strategy is essential to ensure continuous and efficient production. In the following sections, we present strategies and tools that help achieve a quick and efficient restart with minimal risk and maximum effectiveness. The Toyota Example: Solutions from the Pioneer of Lean Manufacturing      One of the key elements of the Toyota Production System (TPS) is autonomous maintenance (Jidoka) , which enables machine operators to actively participate in maintenance processes. What is Autonomous Maintenance (Jidoka)? Autonomous maintenance means that production operators take responsibility for machine ope...

The Future of TPM: How to Strengthen the Pillars of Total Productive Maintenance?

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Introduction      Total Productive Maintenance (TPM) is a maintenance philosophy aimed at maximizing the efficiency of manufacturing processes by involving the entire organization. TPM has three primary goals: zero breakdowns, zero defects, and zero accidents. In the coming decade, TPM must continue to evolve to meet the challenges of Industry 4.0, digitalization, and sustainability expectations. Current TPM System      TPM was originally built on four fundamental pillars: autonomous maintenance, planned maintenance, quality maintenance, and process improvement. As manufacturing systems became more complex, additional elements became necessary to maintain overall production efficiency. Consequently, TPM expanded to eight pillars, some of which also cover human factors, safety, and administrative processes. This evolution ensures that TPM not only enhances equipment reliability but also contributes to continuous improvement and productivity at all le...