My Account Log in

1 option

Artificial Intelligence in Air Cargo System Goodrich Aerospace Services Pvt Limited

SAE Technical Papers (1906-current) Available online

View online
Format:
Book
Conference/Event
Author/Creator:
Chitragar, Venkatesh, author.
Contributor:
Adavalath Puthiyaveettil, Sayooj
Gopan, Vishnu
Vijaya Chandran, Vinayak
Conference Name:
AeroCON 2022 (2022-06-02 : Bangalore, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2022
Summary:
Air Cargo is one of the major modes of cargo transportation in the world. It is helping to transport goods swiftly across the globe during emergencies like pandemic, evacuation, and natural calamities et cetera It plays a key role in economy of a country by exporting and importing goods across the globe. This business is growing every YOY with increase in demand for e-Commerce and globalization. It is also important to keep up the efficiency of the system as the business demand grows.This paper focuses on Artificial Intelligence (AI) implementation can reduce the inefficiency and inconsistency due to the manual intervention in cargo operation in different areas. The major Implementation study area of AI in this paper include implementing in Cargo load planning to reduce the human dependency and error, ground handling with the help of autopiloting vehicle which can operate in any weather condition, sequence of loading Unit Load Devices (ULD's) based on priority, operating control unit to move ULD in the Cargo deck , fixing ULD's when it is stuck during operation and implementation of AI based predictive maintenance for the Cargo electrical and mechanical components and AI based design decision making in cargo LRU's. The required data for AI implementation for the ground handling and cargo operation is collected from the existing system and Subject matter experts. It also generates more data after the implementation which can be continuously fed to model for the improvement
Notes:
Vendor supplied data
Publisher Number:
2022-26-0022
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account