Disruption management for vehicle routing problem with time-window changes
by Chunhua Ju; Guanglan Zhou; Tinggui Chen
International Journal of Shipping and Transport Logistics (IJSTL), Vol. 9, No. 1, 2017

Abstract: In this paper, based on disruption management method, logistics distribution vehicle routing problem with soft time-window changes considering disruptions is explored. Firstly, by analysing the customers' requirements characteristics and the disadvantage of rigid time window, the soft time-window constraint is considered and the corresponding mathematical model is also setup. Secondly, according to the disruption management method, disruption factors including customers' satisfaction, path offsets, total distribution cost for time-window changes are analysed and the method of disruptions measure which considers synthetically the customers, logistics service provider and driver is proposed. A disruption recovery model for the problems is put forward based on the reposition strategy. Thirdly, in order to solve this multi-objective model, an artificial bee colony (ABC) which can optimise this NP-hard problem is developed. Finally, a numerical simulation experiment is used to verify this model and algorithm. The results illustrate the effectiveness of ABC in solving this problem.

Online publication date: Wed, 30-Nov-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Shipping and Transport Logistics (IJSTL):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com