Adapting the SCOR model for supply chain network assessment and improvement in oil industry

Janaki, D.

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print) Quarterly Publication Volume 3 Issue 4 pp. 331-338 , 2019

Adapting the SCOR model for supply chain network assessment and improvement in oil industry Pages 331-338 Download PDF

Authors: Daryosh Mohammadi Janaki

DOI: 10.5267/j.ijdns.2019.4.003

Keywords: Supply Chain Network, Uncertainty, Network DEA

Abstract: Supply chain management in oil and gas industry plays an important role for the success of these companies in most countries. A reliable supply chain helps on time delivery of goods and services and leads to better performance of the firms and yields higher profitability. This paper presents an empirical investigation to measure the relative efficiency of different oil distribution companies in Iran. The proposed study uses a five-stage Supply-Chain Operations Reference (SCOR) technique to measure the relative efficiencies of 40 distribution oil companies. The study designs a questionnaire based on four balanced scorecard perspectives and distributes it among various experts who were familiar with supply chain issues. The results indicate that the network performed relatively efficient since the study did not detect any unit with low performance and most of them maintained relatively high scores.

How to cite this paper

 Janaki, D. (2019). Adapting the SCOR model for supply chain network assessment and improvement in oil industry.International Journal of Data and Network Science, 3(4), 331-338.

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