Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/75507
Title: | Method for loading cargo trucks using two-dimensional packing algorithms |
Authors: | Filonov, S. D. Aksyonov, K. A. Kruglov, V. N. |
Issue Date: | 2019 |
Publisher: | Institute of Physics Publishing |
Citation: | Filonov S. D. Method for loading cargo trucks using two-dimensional packing algorithms / S. D. Filonov, K. A. Aksyonov, V. N. Kruglov // Journal of Physics: Conference Series. — 2019. — Vol. 1210. — Iss. 1. — 12047. |
Abstract: | The paper describes the method for optimization of loading cargo trucks using two-dimensional packing algorithms. The point of this method is to reduce loading cargo problem to two-dimensional packing problem. This problem can be solved by using of various algorithms. There is analysis of several algorithms that are most often used in practical calculations of objects distribution in 2D space in this paper. The object of this study is transport of the metal processing company and its products (cargo). PHP programming language, MySQL database, and Apache web server are used to create client application. The interface developed using HTML5, CSS and javascript. © 2019 IOP Publishing Ltd. All rights reserved. |
Keywords: | AUTOMOBILES PROBLEM ORIENTED LANGUAGES TRUCKS APACHE WEB SERVER CARGO TRUCKS CLIENT APPLICATIONS JAVASCRIPT METAL PROCESSING MYSQL DATABASE PRACTICAL CALCULATION TWO-DIMENSIONAL PACKING LOADING |
URI: | http://elar.urfu.ru/handle/10995/75507 |
Access: | info:eu-repo/semantics/openAccess |
Conference name: | 12th International Scientific and Technical Conference on Applied Mechanics and Systems Dynamics, AMSD 2018 |
Conference date: | 13 November 2018 through 15 November 2018 |
SCOPUS ID: | 85065972062 |
WOS ID: | 000481604500047 |
PURE ID: | 9812042 |
ISSN: | 1742-6588 |
DOI: | 10.1088/1742-6596/1210/1/012047 |
metadata.dc.description.sponsorship: | The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006. |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Files in This Item:
File | Description | Size | Format | |
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10.1088-1742-6596-1210-1-012047.pdf | 579,2 kB | Adobe PDF | View/Open |
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