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How manufacturers can increase productivity and reduce costs by adding ‘A’ to ‘IoT’

Artificial Intelligence (AI), and the Internet of Things (IoT) are increasingly becoming mainstream in the manufacturing industry. What is perhaps less understood is the degree to which these technologies are converging.
AI takes manufacturers to the next level by leveraging the data collected by the IIoT. Given all this, it makes sense to begin thinking about the next concept – the AIoT – the Artificial Intelligence of Things.

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Leveraging AI and IIoT to optimize the decision flow from planning to execution in aerospace composites manufacturing

Manufacturers working with composites in the aerospace industry face a series of unique and complex challenges. These include the time-sensitive nature of many composite raw materials that require constant monitoring. The Plataine partnership represents a major step forward for Siemens’ aerospace customers, delivering new levels of material savings and manufacturing efficiencies that are tailored specifically to the needs of factories working with composites.

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Here’s why manufacturers that don’t fully transform to the cloud face significant losses

The benefits of the cloud software solutions include lower IT costs, allowing teams (and even whole factories) to collaborate like never before; giving factories the chance to benefit from the Software as a Service (SaaS) business models that are becoming more popular every day; and delivering the remote deployment and remote working capabilities that have become so necessary in the COVID-19 era.

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6 mistakes manufacturers are still making in 2021 but can’t afford to

In today’s complex-manufacturing competitive landscape there’s no room to make critical mistakes. Following over a decade of close collaborations with top discrete manufacturing players, we’ve come to know and learn to spot some of the most widespread mistakes. This article looks at the common pitfalls and examines top manufacturers’ strategies to avoid them.

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Do you have true visibility over your production floor or are you flying blind?

Do you have true visibility over your production floor or are you flying blind?

The unique challenges of composite part manufacturing such as the limited shelf-life of raw composite materials and strict quality requirements– elevate the potential benefits of IIoT based technology. COVID-related disruptions are further accelerating Digital Transformation, as manufacturers seek to increase resiliency, flexibility, and profitability. It all starts with increased production floor visibility, also creating the foundation for optimized, flexible production operations.

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2020 - 2021

New Year, new times: 2021 Industry 4.0 Trends in Manufacturing

When a new year begins it’s time for us to create our annual trend list. Even when a pandemic hits out of the blue, manufacturers who were relatively resilient and were already embracing the latest technologies, found it easier to adjust and respond. In an uncertain climate like today’s, the next lines offer a clear direction for prioritization and development.

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Production scheduling in the Industry 4.0 era – AI-based Digital Assistants can provide vital support

Scheduling production operations is one of the key challenges faced by planners and schedulers working for advanced manufacturers. An optimized production schedule will improve on time delivery while ensuring the best possible use of factory floor resources – increasing throughput and reducing waste. AI-based intelligent software can help planners meet their objectives.

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A new standard for lean manufacturing? How cutting optimization increases the entire manufacturing organization’s profitability

Optimized cutting and kitting processes in many discrete manufacturing segments are crucial due to the high cost of raw materials, and therefore they have a direct influence on the company’s overall profitability. Manufacturers are leaning on technology to optimize every step in the process. AI technology helps meet manufacturing needs by offering a dramatic advancement in cut planning and manufacturing optimization.

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The Tremendous Power Of AI In Manufacturing Optimization – 5 Examples That Clear The Mist

When the word ‘AI’, enters the discussion things become interesting. “Oh, we already use AI,” people say to me.

I’m always happy to indulge in conversations about AI use cases, so I immediately ask if they would be OK with telling me a little about their system, and how exactly it’s being used.

Then, as the discussion continues, it becomes clear that they were actually referring to BI, reports and dashboards and not AI in the deep sense that I was.
Don’t confuse AI with data analysis and dashboards

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Industry 4.0 Survey Highlights: 2020 Global Manufacturing Trends Brought to You by SME and Plataine

The digital manufacturing transformation is continuing to grow at full speed. As it is a part of a cross industry shift, specifically in the advanced manufacturing industry, enterprises deal with crucial and expensive procedures.
SME & Plataine surveyed the market to identify important Industry 4.0 trends in 2020. We compared the findings to trends we’ve identified in our last survey that we ran in 2018, and we published an industry report that presents and highlights our most important findings. As you will soon read, a lot has changed over the course of 2 years.  

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