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Cloud Computing: Setting the Foundation for Industry 4.0 Applications

Digital transformation technologies are key enablers of modern Industry 4.0 workflows where automation is required to run traditional processes. For manufacturers, implementing industry 4.0 operational models starts with going digital and in many cases; the digital transformation process is done incrementally from eliminating the use of paper to utilizing manufacturing enterprise systems (MES). Moving from …

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 Digitization Technologies for Implementing Industry 4.0

At the height of the pandemic, access to protective equipment such as masks and gloves, and the availability of test kits to improve tracing was at an all-time low. In a bid to secure citizens, countries turned to their manufacturing industries to repurpose production lines to aid the response efforts…and the global manufacturing industry’s response …

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 …

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 …

5 Important Use Cases for AI in Manufacturing

The introduction of Industry 4.0 in 2011 and the digital transformation that enables it led to an influx of new technologies to optimize traditional processes in the manufacturing industry. Artificial intelligence, which was predominantly utilized in computer science and software engineering fields, was also introduced into the manufacturing industry because to achieve the ‘lights out’ …

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 …

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. …

From Disorder to Insight: The Road to a Digitally Transformed CPG Industry

Imagine a manufacturing enterprise churning out billions in revenue from selling approximately 5,000 different consumer packaged products relying on pen and paper analysis to make complex decisions? Sounds alarming right? This scenario highlights, to an extent, the current situation in the consumer packaged goods industry. According to a survey, although 25% of enterprises in the …

3 Ways Digital Transformation Support Nuclear Energy Upgrades

Nuclear power has staked its claim as one of the most adopted clean energy sources used across the world. The widespread adoption of nuclear power is due to its ability to serve as an adequate energy source for both domestic and large scale industrial uses, unlike other competing clean energy options. In the United States, …

Improving Operational Efficiency with Digital Transformation

Across the industrial sector, strategic alliances are being made to simplify everyday business operations, utilize data, and improve revenue generation. These strategic alliances have witnessed enterprises within more traditional industries partner with digital transformation service providers to solve problems. One example is the Oil and Gas industry turning to digital transformation to deal with struggles …

4 Ways Enterprises can Build On Covid-19 Digital Transformation Efforts in 2021

2020 was the year the digital transformation came of age. Before Covid-19, digital transformation strategies across all sectors including manufacturing, healthcare, and the educational industry had approximately 3 – 5 year plans for achieving digital transformation goals. In many cases, these goals focused solely on digitizing record keeping, data manipulation, data transfer, and storage but …

Simulation and Risk-based Scheduling in the Industry 4.0 Era

In 2019, an industrial facility struggled with optimizing its schedules, maximizing resources, and cutting down on astronomical production costs due to the complex nature of its manufacturing process. The facility relied on a high-mix and low-volume manufacturing process with sequence-dependent setup times which added an extra level of complexity to its manufacturing processes. To eliminate …