A robust multi-objective optimisation model for natural gas supply chain design under uncertainty: a case study
by Rozita Daghigh; Mir Saman Pishvaee
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 27, No. 3, 2021

Abstract: The appropriate design of a complex natural gas supply chain becomes a critical issue for both academics and practitioners. To deal with the design of complicated natural gas supply chain, a mixed integer nonlinear programming model is developed in this paper. Two conflicting objectives including the minimisation of the total cost and the maximum unfulfilled demands are considered subject to technical and logical pipeline and compressor constraints. Since a number of critical parameters are tainted with imprecision in the proposed model, a robust possibilistic programming approach is applied to handle the inherent uncertainty. A natural gas network in Iran is used as a case study to verify and validate the developed model. [Received: October 08, 2019; Accepted: May 27, 2020]

Online publication date: Wed, 23-Jun-2021

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 Oil, Gas and Coal Technology (IJOGCT):
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