Analytics for cargo industry (Record no. 6068)

MARC details
000 -LEADER
fixed length control field 03105nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122839.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180525b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Maryl John (92216015)
9 (RLIN) 14084
245 ## - TITLE STATEMENT
Title Analytics for cargo industry
300 ## - PHYSICAL DESCRIPTION
Extent MSC DA 2016-2018
500 ## - GENERAL NOTE
General note <br/>In the increasing business or aviation market, air cargo is the major contributor. The commercial<br/>flight has now become secondary. This is because air is the fastest mean of transportation. The<br/>market requires means for transportationof all kinds of goods, air cargo carried in aircrafts. Air<br/>cargo goods such as these have three categories: air freighter, air express and air mail.<br/><br/>IATA (International Air Transport Association) is one of the trade association for all the world’s<br/>airlines. They help in driving a safe secure profitable and suitable air cargo supply chain<br/>throughout the airlines industry.<br/><br/>The major or the most important focus is to meet the challenging needs of the customers. As<br/>cargo is interconnected it is challenging to manage it on a global level. The increase in fuel rates<br/>affects the opening price. Inventory needs to be managed to ensure we have enough resources to<br/>handle peak demand. There are many delays, that need to be predetermined in order to devise<br/>appropriate steps to handle them.<br/><br/>Analytics has brought us different solutions for these problems using data description on the<br/>improvements of the supply chain. Identifying a solution model’s category helps us find the right<br/>approach that works best for a problem. Here we can also have a situation where the data is<br/>unavailable as labels to perform supervised learning, we probably can use other methods in those<br/>cases.<br/><br/>Also, before we analyze the data we also need to process the data with all the missing values,<br/>lack of data, replacing the data with meaningful placeholders. Some kinds of prediction models<br/>can be used to recommend force actions. There are also different methods used to predict the<br/>future requirements of the cargo. <br/><br/>Cargo delays can be modelled to predict and handle delays. This also helps in decision-making<br/>based on historical data. Different models can also be compared to obtain consistent accuracy.<br/>This prediction is critical as the charges for delay and cancellation are very high which a problem<br/>that needs immediate solutions is. <br/><br/>The visualization of the cargo can also be performed using before and after Modelling. This<br/>helps in finding the critical areas. Data Visualization is a very important factor to analyze for <br/>extracting meaningful information. Data Science for freight industry is becoming efficient due to <br/>long run improvement. The global economy has also benefited from this. This will bring<br/>exceptional output and help us to find the unpredictable outcomes in near future. Applied<br/>technology will have bright future for Cargo Industry analysis.
502 ## - DISSERTATION NOTE
Degree type MSC DA
Name of granting institution 2016-2018
Year degree granted INT
-- Dr. Manoj Kumar T K
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element AIR CARGO
9 (RLIN) 14085
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DATA VISUALIZATION
9 (RLIN) 14086
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DATA SCIENCE
9 (RLIN) 14087
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   25/05/2018   R-1362 25/05/2018 25/05/2018 Project Reports