Articles by tag: manufacturing solutions

Cost Model within a Digital Planning Twin

cost model

According to Aaron Berg, VP of River Logic Strategy, the Digital Planning Twin, specifically within River Logic’s system, is distinguished by its meticulous cost modeling approach. In crafting a comprehensive plan for production volume, a key concern is predicting the resultant financial outcomes. This necessitates a detailed breakdown of costs into their essential drivers […]

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Building Management
What is a Digital Planning Twin?

According to Aaron Berg, River Logic’s VP of Strategy, a Digital Planning Twin is essentially a comprehensive model that encapsulates the entire value chain of a business. Within this model, intricate details about the capabilities and constraints of the business are defined, spanning from manufacturing options to operational capacities. The core essence of this […]

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Articles
Made in America – Pearson Packaging Systems

Automation equipment is on the rise, revolutionizing the manufacturing sector in ways previously unimaginable. Amidst a challenging labor landscape, the thrust towards automation is driven not by a desire to eliminate jobs, but to optimize them, transitioning workers from physically taxing roles to those of greater value and satisfaction. Companies like Pearson Packaging […]

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Podcasts
Meet the Supply Chain’s Latest Asset: Distributed Manufacturing

The COVID-19 pandemic made the complex world of supply chain management even more daunting, as manufacturers faced challenges unseen in recent memory. The supply chain’s fragility was put on full display as climate disasters, geopolitics and a worldwide health crisis were thrown into the works. Greg Paulsen, Director of Application Engineering for Xometry, spoke about […]

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Healthcare
Making Bright Ideas Work: Continuous Improvement and Investing in Your Company’s Future

Building a company culture of continuous improvement and investing for the future sounds like an obvious recipe for success, but it is easier said than done. Eric Soederberg, CEO of Sunrise Labs, joined Tyler Kern on this episode of the Sunrise Podcast to talk about the importance of creating the right work environment for […]

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Women's empowerment
Seizing the Narrative: The Transformative Impact of Storytelling on Women’s Empowerment
April 19, 2024

With gender equality becoming a significant global agenda, the narrative around women’s empowerment is more relevant than ever. Amid rising awareness and shifting societal norms, women are increasingly seeking avenues for self-expression and empowerment. A recent study by the Global Gender Gap Report highlights that while progress is being made, substantial efforts are still […]

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V2G technology
Plug into the Future: Decoding V2G for Utility Applications
April 19, 2024

Brian Rudy from Verizon IoT and Melissa Chan of Fermata Energy explore the cutting-edge potential of vehicle-to-grid (V2G) technology at DISTRIBUTECH 2024. Their discussion highlights how this innovation transforms electric vehicles into dynamic energy storage units, capable of stabilizing the grid by storing and discharging power as needed. This technology represents a significant shift […]

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zero trust architecture
Secure Grid Modernization with Zero Trust Architecture
April 19, 2024

Ray Bauer of Verizon Business engages with Del Rodriguez from Palo Alto Networks at DISTRIBUTECH 2024. Rodriguez shares insights into the significance of cybersecurity within the utility sector, particularly in light of increasing cyber threats and the convergence of IT and operational technology (OT). Bauer and Rodriguez discuss Palo Alto Networks’ initiatives to enhance […]

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private wireless networks
Private Wireless Networks
April 19, 2024

Verizon host Wayne Weeks discusses the evolving utility industry with John Gaster, CEO of KSI Data Sciences at DISTRIBUTECH 2024. Together, they explore how KSI focuses on harnessing data from remote sensing devices to enhance the safety, efficiency, and cost-effectiveness of utility operations. Gaster emphasizes the significant role of AI and machine learning in […]

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