Skip to content
A4 civilengineering
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us
Menu Close

Blog

  1. Home>
  2. Digital Twin>
  3. Google launches ‘digital twin’ tool for logistics and manufacturing
Google launches ‘digital twin’ tool for logistics and manufacturing
Google today announced Supply Chain Twin, a new Google Cloud solution that lets companies build a digital twin — a representation of their physical supply chain — by organizing data to get a more complete view of suppliers, inventories, and events like weather. Arriving alongside Supply Chain Twin is the Supply Chain Pulse module, which can be used with Supply Chain Twin to provide dashboards, analytics, alerts, and collaboration in Google Workspace.

The majority of companies don’t have visibility of their supply chains, resulting in “stock outs” at retailers and aging inventory at manufacturers. In 2020, out-of-stock items alone cost an estimated $1.14 trillion. The past year and a half of supply chain disruptions has further shown the need for insights into operations to dynamically adjust fleet routes and inventory levels.

With Supply Chain Twin, companies can bring together data from multiple sources by enabling views of the datasets to be shared with suppliers and partners. The solution supports enterprise business systems that contain an organization’s locations, products, orders, and inventory operations data as well as data from suppliers and partners such as stock and inventory levels and material transportation status. Supply Chain Twin also draws from public sources of contextual data such as weather, risk, and sustainability.

“Digital twin” approaches to simulation have gained currency in other domains. For instance, London-based SenSat helps clients in construction, mining, energy, and other industries create models of locations for projects they’re working on. GE offers technology that allows companies to model digital twins of actual machines and closely track performance. And Microsoft provides Azure Digital Twins and Project Bonsai, which model the relationships and interactions between people, places, and devices in simulated environments.

“Siloed and incomplete data is limiting the visibility companies have into their supply chains,” Hans Thalbauer, managing director of supply chain and logistics at Google Cloud, said in a statement. “The Supply Chain Twin enables customers to gain deeper insights into their operations, helping them optimize supply chain functions from sourcing and planning to distribution and logistics.”
Read More
venturebeat.com

Read more articles

Previous PostThe power of the Digital Twins to shake off our emissions in real estate
Next PostDigital Twins and Smart Buildings – An Expert’s View

You Might Also Like

Siemens launches autonomous driving digital twin startup

Siemens launches autonomous driving digital twin startup

October 11, 2021
The benefits of tying the digital twin to the jobsite through BIM to field workflows

The benefits of tying the digital twin to the jobsite through BIM to field workflows

October 8, 2021
Building information modeling, digital twins create green, smart cement factory

Building information modeling, digital twins create green, smart cement factory

October 7, 2021

Archives

  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025
  • June 2025
  • May 2025
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021

Categories

  • 3D Printing
  • Air Quality
  • Architecture
  • Automation
  • BIM
  • Civil Software
  • Computer Vision
  • Constrcution Site
  • Digital Twin
  • Disaster
  • Earthquake
  • Edu Resource
  • Environmental
  • FreeCourse
  • Geotechnical Engineering
  • GIS
  • Industry News
  • Intelligent Transportation System
  • IOT
  • Market Analysis
  • Project Management
  • Remote Sensing
  • Sensors
  • Smart City
  • Smart Home
  • Smart Home/Building
  • Smart Materials
  • Structural Engineering
  • Structural Health Monitoring
  • Transportation
  • Uncategorized
  • Urban Planning

Recent Posts

  • A unified constitutive model for yielding single-lining tunnel supports with resistance limiters under large deformation
  • Infrastructure, Agents, and the Battle for Competitive Advantage
  • Some Electricians Think Building Data Centers Is for Sellouts
  • Predictive modeling of Han Dynasty beacon towers accounting for spatial heterogeneity: a geographically weighted and GeoShapley-interpretable framework
  • Construction Keynote Speakers | #1 Futurist Scott Steinberg
A4 civilengineering
©2021 Privacy policy
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us

Enjoying the contents?

Subscribe to our weekly newsletter