Issue |
E3S Web of Conf.
Volume 517, 2024
The 10th International Conference on Engineering, Technology, and Industrial Application (ICETIA 2023)
|
|
---|---|---|
Article Number | 06007 | |
Number of page(s) | 5 | |
Section | Green Supply Chain Management | |
DOI | https://doi.org/10.1051/e3sconf/202451706007 | |
Published online | 15 April 2024 |
Green SCM Performance Evaluation of Petroleum Exploration Companies using Green SCOR Model
Industrial Engineering, Universitas Trunojoyo Madura, 69162 Bangkalan, Indonesia
* Corresponding author: ika.anna@trunojoyo.ac.id
This research aims to create a green SCM performance evaluation system using the Green SCOR model approach. The Green SCOR performance evaluation system begins by determining three process hierarchies, namely levels 1, 2, and 3. Level 1 includes the general process of plan, source, make, deliver and return. Level 2 includes the dimensions of reliability, responsiveness, flexibility, cost, and asset. Level 3 is related to the level of the company’s process elements. The results of expert validation obtained 18 Green SCM key performance indicators (KPIs) that correspond to the company’s supply chain operations. In the next step, the experts conducted a weighting process for levels 1, 2, and 3 using the Analytical Hierarchy Process (AHP). Based on the results of the performance measurement on each indicator, the total score obtained is 85, which means good. There are 4 KPIs that fall into the poor category, namely MA2 (total water usage) with a performance value of 13, SA1 (percentage of turnover ratio) with a performance value of 18, MR2 (level of hazardous materials produced) with a performance value of 18, and DA1 (Percentage of vehicle fuel for transportation and material handling) with a performance value of 35.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.