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Artificial Intelligence in Simulation Modeling

The application of AI has expanded beyond research environments into the real world. Simulation modeling facilitates this expansion by providing supportive environments to leverage the promises of AI. The combination of AI and simulation provide enterprises across the industrial sector with diverse opportunities to evaluate processes to gain the data-driven insight needed for accurate decision-making. …

Neural Networks and the Digital Twin

Digital twins are virtual representations of physical entities including objects, facilities, and processes. The cyber-physical space that compromises of the digital twin and what it represents facilitates the real-time exchange of data which provides a platform that supports diverse use cases. Use cases include the application of predictive and prescriptive analysis to discover future challenges …

Neural Networks: What is it and the History Behind It

The concept of a ‘machine that thinks’ or an inanimate entity that thinks is traced back to the scientists of Ancient Greece who sought to imbibe objects with analytical capabilities. However, the success of the Ancient Greeks in actualizing the thinking machine was severely limited due to limitations with understanding how the human brain functioned …

Optimizing Supply Chains and Logistics Management with Data Analytics

Analytics has always focused on gaining insight into processes that enable its adherents to make data-driven decisions and to understand complex systems. One example of a complex system that produces big data sets is the supply chain. However, many companies struggle to harness data from their supply chain to successfully transform and optimize how they …

The Role of 5G Networks and OPC UA in Enhancing Digitalization Strategies

The introduction of Industry 4.0 in 2011 came with specific challenges. First, the proprietary equipment used within the average industrial facility needed unification to implement data-driven strategies required a solution. Secondly, a reliable means of communication and data transfer was required to enable the interexchange of data and finally, deterministic networking was required to implement …

Reshaping the Production Line with Big Data Analytics

Dark data – this refers to the data collected from the shop floor that remains untouched or used to improve manufacturing output in any way. The average enterprise’s leaves 90% of its data sets untouched and this applies to facilities within the manufacturing industry. This statistic means that despite the increased rate at which data …

5 Use Cases for Cloud Computing in Manufacturing

The manufacturing industry is no novice to applying technology solutions to innovate, improve planning, and productivity within the shop floor. In the 60s’ the industry rode thewave of technology advancements and adopted time-keeping systems and production-tracking systems to implement lean manufacturing concepts. Manufacturers also made a dent in the 80s’ by leveraging computer-aided design and …

5 Use Cases for Big Data in Manufacturing

The manufacturing industry is known for the large data sets it produces. These data sets include both structured and unstructured data from production processes and for a long time they went uncollected until the advent of Industry 4.0. Earlier advancements such as lean manufacturing methodologies leveraged data. To implement lean processes, the manufacturer had to …

Virtual Models, Digital Shadows, and Digital Twin Applications in Manufacturing

Implementing digital transformation processes within the manufacturing industry has been an ongoing process for approximately three decades. First, manufacturers utilized digitization to collect data for storage purposes before moving on to more complex applications. Optimizing industrial design became the next logical step for applying digital transformation technologies. However, it would take the introduction of Industry …

5 Ways AI is Optimizing Manufacturing Processes

Realizing the dreams of a fully automated factory floor starts with utilizing the structured and unstructured data captured from manufacturing processes. Once captured, data-producing sources and assets on the shop floor must be capable of decentralized analysis to take accurate, independent decisions. For that, you need artificial intelligence. Applying AI to optimize or automate manufacturing …

Implementing Robotic Process Automation in the Manufacturing Industry

The widespread adoption of Industry 4.0 business concepts shows that the future of business operations is automation. Robotic Process Automation (RPA) borrows a leaf from the automation playbook of Industry 4.0 because it involves the automation of routine rule-based processes using artificial intelligence and machine learning. RPA is a next-gen technological concept and as with …

Digitization, Digitalization, and the Digital Transformation of the Factory Floor

As the adoption rate of digital transformation within the manufacturing industry increases, many still struggle with differentiating between digitization and digitalization. Although both terms sound similar, that’s where the similarities end. Many who use digitization and digitalization interchangeably end up confusing the technological partners they intend to work with. Thus, to eliminate the confusion associated …

Understanding the Role of Big Data in Industry 4.0

The introduction of Industry 4.0 in 2011 could be seen as a necessary measure to wake up a declining industry. The decade before its introduction saw global manufacturing productivity drop to 1% and to spur growth a German study group considered business models that leveraged data sets produced within shop floors. These data sets were …

Introducing Simio Sync 2021 Digital Transformation Conference

Less than a decade ago, the greatest minds in the field of simulation modeling, scheduling, and all things digital transformation came together and agreed to share their knowledge directly with individuals interested in their field. Thus, Simio Sync was born…and we are delighted to announce the 4th annual event with a little twist; Simio Sync …

Navigating Disruptions in the Manufacturing Industry with Risk-based Simulation and Scheduling

There’s nothing certain but the uncertain. This ancient proverb coined the events that happened in 2020 and its effects which continue to spill over till this day. In manufacturing, a pandemic, drastic change to decades-old trade policies and increased demand for accountability from customers has created uncertainties. The disruptive influence of these uncertainties has led …

Applying Digital Transformation to Future-Proof Your Manufacturing Facility from Disruptions

During the financial crisis of 2009, the United States’ largest automobile manufacturer, General Motors, filed for bankruptcy. According to the Harvard Business Review, the reasons gives included making cars no one wanted, slowness to innovate, and the inability to adjust to changing markets. Today, a pandemic-inspired crisis led to and is still leading to bankruptcies …

5 Things to Consider When Searching for a Digital Twin Solution

If you’re reading this, you’ve probably heard that the digital twin can enable your manufacturing facility: Optimize its operations and production cycles to go to market faster leverage data-driven analysis to make better decisions that increase revenue Monitor operations in real-time to reduce errors and increase throughput All you have heard is accurate but the …

The Roadmap to Implementing Digital Transformation for C-level Executives in Manufacturing

The digital transformation of operational processes has become the most discussed topic in the manufacturing industry. Everyone from the shop floor operator to C-level executives is interested in applying digital transformation technologies to ease operations and provide insight to make better decisions. Sadly, 7 out of DIY digital transformation initiatives fail which calls for an …

5 Things to Look Out for in the Right Digital Twin Solution for Manufacturing

Slowing productivity has always been the harbinger for the application of new ideas to deliver growth. Providing enough products to cater to an expanding population was crucial to establishing the first industrial revolution and centuries later humanity found itself in the same situation. Productivity growth across the industrial sector fell from 2.9% from 1995 – …

Pharma 4.0 and the Role of Digital Transformation

Consumers accustomed to excellent customer services when making online purchases from retails stores have begun to expect similar excellence from more traditional industries. The pharmaceutical industry, which has existed centuries before e-commerce became a thing, is an example of an industry where much more is expected in terms of customer service for two important reasons. …