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Managing Time Sensitive Material: once you’ve tried Cloud AI, you can’t go back

At Plataine, we’ve got a simple view on AI-based optimization solutions: they bring radical benefits to manufacturers. Of course, we’re a provider of such AI solutions, so you could be forgiven for thinking, “Well, they would say that, wouldn’t they.” That’s why we’ve introduced a free trial package for our Time Sensitive Material (TSM) Manager solution, allowing you to see for yourself how easily you can setup and start using our TSM solution.
We’ve taken the big step to develop an easy-to-use application for time sensitive material management, plus offering a free “test drive”. For customers that take up the offer, it’s a no-strings way of actually experiencing all the benefits of our solution. We are consistently finding that, once customers have tried Plataine, they don’t go back.

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This Aerospace composites manufacturer added an AI layer on top of MES. Here’s what happened

The Light & Strong production team was constantly searching for new levers of process automation in order to reduce material waste, improve quality control, and offer real-time visibility across production lines so issues could be tackled before they arose.
Due to the global labor shortage, the company was keen to automate any processes that could be automated to free up factory staff for higher value tasks.

During this time, the company’s management decided to further explore AI-based IIoT technologies and the implementation of advanced Industry 4.0 layers on top of its MES solution.
Read the blog to find out more.

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Top Industry 4.0 trends – 2022 SME global manufacturing survey highlights

Today, digital transformation plays an integral role in any manufacturing business strategy, to translate investments into tangible results at the enterprise level. The past 2 years accelerated fundamental changes to how manufacturers interact with legacy enterprise systems (such as MES) to maintain business continuity, improve agility and increase responsiveness to market fluctuations.

According to this 2022 SME unique industry survey, factory floors are managing to properly collect sufficient data and to use advanced analytics methods to improve operational efficiency.
This article sheds light over some of the trends revealed in the report.

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Plataine MES AI Addon

How an AI layer on top of MES is a game-changer: Reducing operational costs in Aerospace composites by 15%

MES solved and still solves crucial challenges such as managing complex data and taking advantage of data analytics.
But, nonetheless, these systems were initially built for another era and to be honest did not manage to completely eliminate the paperwork. We witness a lot of paper documentation that travels together with work orders or inventory transactions.
Today, the aerospace composite industry’s challenges have changed and technology capacities have evolved tremendously…

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2022 Industry 4.0 trends in the aerospace composites manufacturing sector

Due to the ongoing pandemic recovery, priorities continue to shift towards compensating losses by cutting costs, boosting efficiency, and implementing technologies that will help us to cope with the next crisis and keep resilience. This article will help us gear up for 2022 by focusing on trends that are already rising, around mitigating risks, expanding capabilities, and moving forward into Industry 4.0 and the future of manufacturing.

So, without further ado, what does 2022 hold for aerospace and composites manufacturers?

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More With Less: The Dramatic Impact of AI Combined with IIoT on Reducing Manufacturing Operational Costs

To turn technology into revenue, manufacturers must utilize it to both increase income and decrease cost. For advanced manufacturing and complex businesses, such as the Aerospace industry, heavy-machinery and alike, the second part of the equation is particularly important since they struggle with heavy operational costs. Let’s examine how combining AI and IIoT helps them minimize operational costs and increase profit, and which use-cases are worth focusing on.

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Adopting Industry 4.0 in Aerospace and Automotive composites manufacturing: 5 challenges & practical tips

In what feels like a minute and an eternity all at the same time, the industry is now busy dealing with a rollercoaster of shifts that impacts everyone in every aspect of our lives in a wide range of fields that include Aerospace, Automotive, Heavy Machinery, and more.
The next paragraphs will examine some of these changes and the main strategies that come along and help manufacturers face today’s challenges, keep the resilience, plan and be prepared for the day after the crisis.

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Flawless decision making, from planning to execution? The key role of ‘AI and IIoT’ in Aerospace & Automotive 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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A mathematically optimal schedule is not necessarily practically optimal!

Generating an optimal schedule is essential for production management, having a significant impact on the efficiency and productivity of the whole operation and, hence, on top and bottom line. Yet, building a high-quality schedule has been known to be one of the most complex and challenging business tasks. Read on to learn about the latest advancements in Production scheduling.

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The smart factory is here! SAP & Plataine have the solution

Plataine has combined its offering with SAP, bringing our unique AI capabilities to SAP’s core solutions, to deliver significant efficiency and productivity benefits to SAP customers. The SAP solution is designed to operate across factory floors in order to plan, manage and orchestrate production. Now, with Plataine’s Factory floor AI-based Digital Assistants and advanced manufacturing expertise, SAP has a whole new layer of capabilities to optimize production and provide factory floor staff with and insights, alerts and recommendations.

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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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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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