Welcome to the InfoSci Platform
Reference Hub4
A Bi-Objective Vehicle Routing Problem with Time Window by Considering Customer Satisfaction

A Bi-Objective Vehicle Routing Problem with Time Window by Considering Customer Satisfaction

Masoud Rabbani, Mahyar Taheri, Mohammad Ravanbakhsh
Copyright: © 2016 |Volume: 7 |Issue: 2 |Pages: 24
ISSN: 1947-8569|EISSN: 1947-8577|EISBN13: 9781466690851|DOI: 10.4018/IJSDS.2016040102
Cite Article Cite Article

MLA

Rabbani, Masoud, et al. "A Bi-Objective Vehicle Routing Problem with Time Window by Considering Customer Satisfaction." IJSDS vol.7, no.2 2016: pp.16-39. http://doi.org/10.4018/IJSDS.2016040102

APA

Rabbani, M., Taheri, M., & Ravanbakhsh, M. (2016). A Bi-Objective Vehicle Routing Problem with Time Window by Considering Customer Satisfaction. International Journal of Strategic Decision Sciences (IJSDS), 7(2), 16-39. http://doi.org/10.4018/IJSDS.2016040102

Chicago

Rabbani, Masoud, Mahyar Taheri, and Mohammad Ravanbakhsh. "A Bi-Objective Vehicle Routing Problem with Time Window by Considering Customer Satisfaction," International Journal of Strategic Decision Sciences (IJSDS) 7, no.2: 16-39. http://doi.org/10.4018/IJSDS.2016040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The Vehicle Routing Problem (VRP) by considering Time Windows is an essential and a reality optimization problem consisting in the determination of the set of routes with minimum distance to carry goods, by using some vehicles with capacity constraint; vehicles must visit customers within a time frame. In the recent years, many numbers of algorithm have been considered to solve a single objective formulate of VRPTW problem, such as Meta-heuristic, bender's decomposition, column generation and so on. This paper considers not only the minimum distance and the number of vehicles used to carry goods for customers. The customer satisfaction by considering the priority of the customers is considered which leads to service the customer as soon as possible. In this paper, the MOPSO and NSGAII approaches applied to solve the problem and then the authors compare the results of them; finally, they analysis the sensitivity of the capacity constraint for the vehicles

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.