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features
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support

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Description

Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.

Description

Organizations are currently faced with the challenge of sourcing supply chain technology that offers more than just visibility into their operations. They require solutions that enhance transparency, foster agility, and spur innovation across the entire supply chain landscape. ParkourSC's digital supply chain operations platform provides extensible digital twins, predictive insights, operator dashboards, process automation, and cross-enterprise collaboration, empowering firms to leverage their ecosystem for improved resilience. The digital twins serve to monitor real-time conditions and performance, aiding in the prevention of waste and ensuring timely delivery. This platform offers comprehensive visibility into assets and inventory throughout every phase, including supply, manufacturing, warehousing, logistics, and distribution, even extending to the last mile. By digitizing the supply chain, businesses can implement various operational rules tailored to different facets of their operations. Ultimately, these digital twins create a complete digital representation of the supply chain from start to finish, thereby facilitating more informed decision-making and strategic planning for organizations.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

APERIO DataWise Yes 

Integrations

APERIO DataWise No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

GE Digital

Founded

2015

Country

United States

Website

www.ge.com/digital/applications/digital-twin

Vendor Details

Company Name

ParkourSC

Country

United States

Website

www.parkoursc.com/digital-supply-chain-twin/

Product Features

Simulation

1D Simulation No 
3D Modeling No 
3D Simulation No 
Agent-Based Modeling No 
Continuous Modeling No 
Design Analysis No 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database No 
Monte Carlo Simulation No 
Motion Modeling No 
Presentation Tools No 
Stochastic Modeling No 
Turbulence Modeling No 

Alternatives

Alternatives

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