Optimizing the Construction Job Site Vehicle Scheduling Problem

Jaehyun Choi, Jia Xuelei and WoonSeong Jeong
Additional contact information
Jaehyun Choi: Department of Architectural Engineering, Korea University of Technology and Education, 222 Engineering Building II, Chonan, Chungnam 31253, Korea
Jia Xuelei: Department of Architectural Engineering, Korea University of Technology and Education, 222 Engineering Building II, Chonan, Chungnam 31253, Korea
WoonSeong Jeong: Department of Architectural Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea

Sustainability, 2018, vol. 10, issue 5, 1-13

Abstract: Concrete is one of the most important, versatile, and widely used building materials worldwide. Thus, an optimized delivery schedule of ready-mixed concrete (RMC) is a critical issue that can reduce CO 2 emission from RMC delivery vehicles. RMC is the most popular form of concrete material supplied to construction projects. When delivering RMC to construction sites, optimizing the transportation can be complex since there are many alternatives in terms of route choice. The objective of this research was to optimize the travel operation of RMC delivery vehicles to ensure that they travel via the most economical routes. The researchers developed a dynamic simulation model to solve this vehicle scheduling problem (VSP), applied an ant colony optimization (ACO) algorithm as a mathematical model, and analyzed the results achieved by the basic and improved ACO methods; the goals were to reduce travel distance and improve the simulation’s performance. Ultimately, the researchers found that the improved ACO method provided a more optimized transportation solution with a higher level of efficiency.

Keywords: ready-mixed concrete; mathematical modeling; simulation analysis; ant colony optimization; vehicle scheduling problem (VSP) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/5/1381/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/5/1381/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:5:p:1381-:d:143906

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().