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...
Read MoreThe 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...
Read MoreAccording 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...
Read MoreDisruptive 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...
Read MoreThe 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...
Read MoreThe 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...
Read MoreDigital 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...
Read MoreDark 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...
Read MoreBeating the competition requires the ability to continuously evolve business processes to deal with disruption. Today, the manufacturing industry experiences a high level of disruption and competition across the globe continues to increase at an...
Read MoreAt 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,...
Read MoreRealizing 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...
Read MoreThe 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...
Read More