A multi-objective spatial queuing model for the location problem in natural disaster response
by Mohammad Hossein Zavvar Sabegh; Mohammad Mohammadi; Zeynab Dashti Khotbesara; Abolfazl Mirzazadeh
International Journal of Services and Operations Management (IJSOM), Vol. 28, No. 3, 2017

Abstract: Emergency operations are one of the most important components of the emergency response that are required in the short time after the occurrence of disaster. For this reason specified sites for the establishment of the emergency medical centres are needed. In this study, we define a new multi-objective location problem for emergency therapeutic centres that include minimising the average response time, minimising the cost of the emergency medical centres and maximising surface coverage demands, given the size of the budget that is acceptable to guarantee a minimum level of coverage. From the point of view of computational complexity, it is classified as an NP-hard problem, since it will require algorithms with the ability to solve problems in non-deterministic polynomial (NP) time, but the solution can be verified in polynomial time. Moreover, the term hard means that it is at least as hard as the hardest problems in NP. Hence, we used PASA, NSGAII, and NRGA algorithms to solve this multiple objective model. After comparing the solutions, NSGAII had a better performance.

Online publication date: Thu, 12-Oct-2017

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 Services and Operations Management (IJSOM):
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