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Intuitively Design and Operate Digital Twin Models with Data Tables

Designing and operating conventional simulation and digital twin models is a time-consuming process that includes the following steps: Dragging and dropping objects from pre-built libraries Defining the operational behavior of each object according to its properties Configuring the model to function accurately Although dragging and dropping objects from a pre-built library simplifies the design process, …

Industry 4.0: 5 Use Cases for Digital Twins in Connected Manufacturing

Industry 4.0 is causing a convergence of manufacturing processes and software in the industrial sector. This convergence is expected to provide manufacturing enterprises with the tools to implement diverse Industry 4.0 business models including condition monitoring, remote monitoring, risk-based scheduling, and predictive maintenance. The Digital Twin is one such application that empowers manufacturers with the …

Logistics 4.0: Smart Transportation for Optimizing Food and Beverages Manufacturing

A third of all raw materials and food produced across the globe spoils before getting to their targeted consumers or end-users. According to the United Nations, this amounts to approximately 1.3 billion metric tons of food wastage and approximately 40% of this wastage occurs during transportation across supply chains. In a time of increasing inflation, …

5 Timely Tips for Evaluating Your Supply Chain Resilience Level

A functional and highly flexible supply chain is crucial to meeting manufacturing deadlines and optimizing production cycles. Approximately 79% of companies with high-performing supply chains achieve increased revenue growth when compared to the average within their industries. Enterprises with optimized supply chains also reduce the cost of managing supplies by 15% and boast of faster …

4 Important Benefits of Attending Virtual Events Live

It is no longer news that virtual events have become the go-to solution for the convergence of large groups of people due to the safety, comfort, and ease of attending live events provide. Although physical conferences and events are slowly but surely making a comeback, virtual events at the corporate end have become mainstream and …

4 Tips to help you know if you need a Simulation Model or a Digital Twin

In a world of sensors, IoT, and edge devices, collecting data from industrial processes or within the facility floor has never been easier. Today, industrial enterprises end up collecting so much data that approximately 80% of the collected data end up as dark data or unstructured data. Here, dark data refers to the data you …

Digital Transformation Solutions Keywords You Should Know

The introduction of new digital transformative technologies and processes into everyday workspaces means both technical and non-technical personnel must have some understanding of its terminologies. These terminologies include both new keywords and more importantly, keywords that digital transformation solutions providers such as Simio use to simplify the request for proposals of industrial enterprises. This post …

Solving Complex Operational Challenges with Optimized Scheduling

The manufacturing sector is no stranger to the impact of increased public demand on consumer goods caused by recalls, shortages of raw materials or disrupted supply chains. One example is the recent recall of baby formulas by Abbott Nutrition which has left parents scrambling across the nation looking for usable alternatives. To eliminate this shortfall, …

Design to Operate Tips and Techniques from Simio Sync Practical Applications Conference

The 28th to 2nd of March saw Simio follow through on its promise to provide informative tips, techniques, and best practices for using Simio Software to accomplish complex design and operational analysis. Attendees were introduced to powerful features such as the use of templates to speed up the development of complex processes in a model …

Creating Detailed Models of Complex Systems Using Simio Templates

Since its inception, simulation modeling has been applied to solving complex operational problems using analytics. Gaining the insight simulation models provide starts with developing models of the system to be analyzed. More complex systems require extensive modeling and this is where many developers run into one of the most common problems – capturing the system’s …

Saving Operational Costs with AI and Neural Networks

The introduction of lean manufacturing models, Six Sigma, Heijunka, and digital transformation initiatives all have one thing in common – reducing operational costs to maximize productivity. To successfully implement these cost-reducing models requires the use of transformative technological solutions. Artificial Intelligence (AI) and its subset Neural Networks (NN) empower the industrial sector with the tools …

Optimizing Manufacturing Processes with Artificial Neural Networks

According to the National Association of Manufacturers, for every dollar spent in manufacturing, approximately $3 is added to the economy. The economic influence of the manufacturing industry makes the case for the need to continuously optimize industrial processes to achieve growth and the industry has risen to the challenge. Statistics show that the manufacturing industry …

The Role of Neural Networks in the 4th Industrial Revolution

Disruptive change need not come at the expense of conventional or existing operational models. An excellent example that highlights the above statement is the widespread adoption of digitization in the manufacturing industry. Replacing paper and physical items with their digital counterpart eased the storage of historical data sets and simplified analytics by working alongside legacy …

5 Advantages of Integrating Neural Networks into Your Digital Twins

The future of work is automating repetitive, time-consuming tasks or activities. Digital transformation solutions and artificial intelligence (AI) provide a pathway to intelligently automating workflows and driving autonomous decision making. The Digital Twin is a solution that encompasses all the above. The World Economic Forum named the digital twin as a defining solution with the …

The Top 10 Simulation and Emerging Technology Trends for 2022

Every year since the beginning of the new decade can be defined by the buzzwords that dominated its era. 2020 was defined by phrases such as the: ‘value chain, digital transformation, and IoT’. By 2021, phrases like remote work, crypto, and end-to-end or peer-to-peer solutions became the new wave. This leads us to the question …

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 …