A new network data envelopment analysis models to measure the efficiency of natural gas supply chain
Sarah J.-Sharahi (),
Kaveh Khalili-Damghani (),
Amir-Reza Abtahi () and
Alireza Rashidi Komijan ()
Additional contact information
Sarah J.-Sharahi: Islamic Azad University
Kaveh Khalili-Damghani: Islamic Azad University
Amir-Reza Abtahi: Kharazmi University
Alireza Rashidi Komijan: Islamic Azad University
Operational Research, 2021, vol. 21, issue 3, No 4, 1486 pages
Abstract Natural-gas supply chain network (NGSCN) includes production, transmission, and distribution stages, numerous types of exogenous and undesirable inputs, intermediate products, and outputs. These lead to a complicated structure for NGSCN. Measurement of efficiency of NGSCN is essential and important. In this paper, network data envelopment analysis model is developed to measure the efficiency of the natural-gas supply chain in Iran. The main properties of the proposed model, i.e., feasibility and bound of the objective function, are discussed through several theorems. The proposed model is used to measure the efficiency of a gas supply chain and the associated efficiency of all elements in the chain during a 5-year planning horizon incorporating real monthly operational data. The results illustrate the total efficiency score of the NGSCN and the efficiency and inefficiency of the production, transmission, and distribution stages. The proposed model of this study can be customized and applied in other energy supply chains such as water, oil, electricity, and wind.
Keywords: Measuring efficiency; Natural gas supply chain efficiency; Gas production–transmission–distribution efficiency; Network data envelopment analysis (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s12351-019-00474-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:21:y:2021:i:3:d:10.1007_s12351-019-00474-4
Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351
Access Statistics for this article
Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis
More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().