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Smart container loading.

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Title: Smart container loading.
Authors: Makarem, Omar Cheyaheb1, Haraty, Ramzi A.1
Source: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.). 2010 Supplement 2, Vol. 10 Issue 1-2, p231-245. 15p.
Subjects: Artificial intelligence, Prolog (Computer program language), Multiagent systems, Performance, Automated materials handling, Containers
Abstract: The need to move various items from one location to another has become a primary need of most companies. Items are usually boxed and arranged inside containers to be transported from one location to the other. Most companies pay shipments by the number of containers being transported; therefore, it is in the interest of the company to minimize that number. Furthermore, some items might have properties, which force special constraints on how and where they are stored inside the container. In this work, we propose an agent based solution for maximizing the use of a single container; thus, reducing the transportation cost for the companies having their items transported, as well as increasing transportation performance for transportation companies. Separate agents are used for packing, tracking, loading and unloading items. Also, artificial intelligence is provided through the use of the PROLOG programming language to specify rules and constraints on items loaded as well as on the container itself. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: The need to move various items from one location to another has become a primary need of most companies. Items are usually boxed and arranged inside containers to be transported from one location to the other. Most companies pay shipments by the number of containers being transported; therefore, it is in the interest of the company to minimize that number. Furthermore, some items might have properties, which force special constraints on how and where they are stored inside the container. In this work, we propose an agent based solution for maximizing the use of a single container; thus, reducing the transportation cost for the companies having their items transported, as well as increasing transportation performance for transportation companies. Separate agents are used for packing, tracking, loading and unloading items. Also, artificial intelligence is provided through the use of the PROLOG programming language to specify rules and constraints on items loaded as well as on the container itself. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 2010 Supplement 2
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