The Study on Recovery Vehicle Scheduling Problem of Industrial Waste Recycling

In recent years, china are paying attention to the development of the circular economy and the ecological industrial parks, industry, as the industry of the largest emissions of industrial waste, the circular economy is more concern by people. The recovery transport process of industrial waste recyc...

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Published in:Applied Mechanics and Materials Vol. 120; p. 1
Main Authors: Fan, Hou Ming, Li, Jia Shu, Zhang, Xiao Nan
Format: Book Chapter Journal Article
Language:English
Published: Zurich Trans Tech Publications 01.01.2012
Trans Tech Publications Ltd
Subjects:
Manufacturing Engineering
Product, Tooling, & Assembly Engineering
Ant Colony Optimization Algorithm (ACOA)
Recycling
Vehicle Scheduling
Industrial Waste
ISBN:303785281X, 9783037852811
ISSN:1660-9336, 1662-7482, 1662-7482
Online Access:Get full text
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Summary:In recent years, china are paying attention to the development of the circular economy and the ecological industrial parks, industry, as the industry of the largest emissions of industrial waste, the circular economy is more concern by people. The recovery transport process of industrial waste recycling is the important part of the industrial circular economy, reasonable scheduling solution is the effective means to improve the recovery and processing speed of industrial wastes and make the cost of recycling lower. In this paper, through analysis and research the recovery transport links of industrial waste recycling, points out that the vehicle scheduling problem of industrial waste recycling is the scheduling problem combined full load with not-full load, and for this problem, build vehicle scheduling optimization model, use ant colony optimization algorithm to solve it, and that achieved good results.
Bibliography:Selected, peer reviewed papers from the 2011 International Conference on Applied Mechanics, Materials and Manufacturing (ICAMMM 2011), November 18-20, 2011, Shenzhen, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISBN:303785281X
9783037852811
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.120.148