Title: A robust multi-objective optimisation model for natural gas supply chain design under uncertainty: a case study

Authors: Rozita Daghigh; Mir Saman Pishvaee

Addresses: School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran ' School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

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]

Keywords: natural gas supply chain; NGSC; multi-objective; robust optimisation; uncertainty.

DOI: 10.1504/IJOGCT.2021.115797

International Journal of Oil, Gas and Coal Technology, 2021 Vol.27 No.3, pp.307 - 337

Received: 15 Sep 2019
Accepted: 27 May 2020

Published online: 14 Jun 2021 *

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