Dear users,
This is our new website
(we are launching the new one in order to improve our communication and provide better services to the editors and authors. So we will upload all data soon).


Please click here to visit our current website, and also to submit your paper
:
 
www.ijsom.com 


 Thanks for your patience during relocation.

Feel free to contact us via info@ijsom.com and ijsom.info@gmail.com

   [Home ] [Archive]    
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Indexing Databases

AWT IMAGE
AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

AWT IMAGE

..
:: Volume 2, Issue 2 (8-2015) ::
2015, 2(2): 700-719 Back to browse issues page
Vehicle Routing with Time Windows and Customer Selection for Perishable Goods
Masoud Rabbani * 1, Mohammad-Javad Ramezankhani2 , Hamed Farrokhi-Asl2 , Amir Farshbaf-Geranmayeh2
1- Tehran University, Tehran, Iran , mrabani@ut.ac.ir
2- College of Engineering, University of Tehran, Tehran, Iran
Abstract:   (6544 Views)
Delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. In this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several products to be delivered to customers with respect to their demands and with consideration of different soft time windows for each customer, heterogeneous distribution fleet and customer selection option for the distributer. The proposed model is solved with TH method. The two genetic algorithm and simulated annealing algorithm are used to solve large-sized problems. Finally, their results are compared to each other when the optimization software becomes unable of solution representation.
Keywords: Vehicle Routing Problem with Time Windows (VRPTW), Perishable Goods, Multi-Objective Programming, Genetic Algorithm, Simulated Annealing
     
Type of Study: مقاله پژوهشی |
ePublished: 2017/09/28
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML     Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rabbani M, Ramezankhani M, Farrokhi-Asl H, Farshbaf-Geranmayeh A. Vehicle Routing with Time Windows and Customer Selection for Perishable Goods. Journal title 2015; 2 (2) :700-719
URL: http://system.khu.ac.ir/ijsom/article-1-2570-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 2, Issue 2 (8-2015) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
Persian site map - English site map - Created in 0.11 seconds with 41 queries by YEKTAWEB 4665