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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.

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.

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.

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.

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.

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.

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.

While the decision to implement an IIoT / connected factory / Industry 4.0 solution is a no brainer, choosing and onboarding the right IIoT provider and the right solution remains a big challenge.

There’s no better time than now to put together a digital transformation plan and start looking for the right supplier.

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.

The challenges manufacturers encounter during these times take on many forms Some challenges lead to new strategies that will stick along as they create an opportunity for companies and prevail for that reason.
In this article, I will focus on changes related to the professional manufacturing workforce that will probably stick around.

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.

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.