Optimal Truck Dispatching For Construction Waste Conveyance

International Journal of Advanced Research in Engineering

View Publication Info
Field Value
Title Optimal Truck Dispatching For Construction Waste Conveyance
Creator Yan, Shangyao
Chen, Yi-Chun
Chang, Ching-Fang
Description Abstract—Waste from the construction industry has to be conveyed to and disposed at specific waste-treatment plants. Decision makers, who work in environmental protection companies, usually schedule and dispatch the trucks used for conveying construction waste to plants manually, which is neither efficient nor effective. In practice, there are space and capacity limitations in every construction site and waste-treatment plant, meaning that the amount of the construction waste for transporting and disposing at a specific time and position is restricted. Moreover, when the number of trucks is insufficient, the responsible environmental protection companies could also hire vehicles from car rental companies. Given these considerations, coupled with the related operational constraints and objective of construction waste conveyance in practice, in this study we employ a time-space network flow technique to develop an optimal scheduling model that can assist decision makers in dispatching both their own and rented trucks for conveying construction waste efficiently. The model is formulated as an integer network flow problem with side constraints. Finally, a case study using the real data from an environmental protection company in Taiwan is performed and the results indicate that the model could be useful for dispatching trucks efficiently and thus decreasing the conveyance cost.
Publisher Research Plus Journals
Date 2017-03-29
Type info:eu-repo/semantics/article
Peer-reviwed Article
Format application/pdf
Identifier http://researchplusjournals.com/index.php/IJARE/article/view/240
Source International Journal of Advanced Research in Engineering; Vol 3 No 1 (2017): International Journal of Advanced Research in Engineering; 9-15
Language eng
Relation http://researchplusjournals.com/index.php/IJARE/article/view/240/443
Rights Copyright (c) 2017 International Journal of Advanced Research in Engineering (ISSN Online: 2412-4362)

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us


Copyright © 2015-2018 Simon Fraser University Library