Research Article
Measurement of Material Supply Chain Performance Using SCOR Method
@INPROCEEDINGS{10.4108/eai.5-10-2022.2325845, author={Ricky Nova Hamid and Andi Erna Mulyana}, title={Measurement of Material Supply Chain Performance Using SCOR Method}, proceedings={Proceedings of the 4th International Conference on Applied Economics and Social Science, ICAESS 2022, 5 October 2022, Batam, Riau Islands, Indonesia}, publisher={EAI}, proceedings_a={ICAESS}, year={2023}, month={1}, keywords={performance measurement scor model supply chain material}, doi={10.4108/eai.5-10-2022.2325845} }- Ricky Nova Hamid
Andi Erna Mulyana
Year: 2023
Measurement of Material Supply Chain Performance Using SCOR Method
ICAESS
EAI
DOI: 10.4108/eai.5-10-2022.2325845
Abstract
The purpose of this study is to measure performance of material supply chain to determine the direction of improvement in the fulfillment of worker needs. The measurement of Material Supply Chain Performance variables is carried out based on the 5 core processes of the SCOR model and is described in each variable dimension and presented in the form of Key Performance Indicators (KPI). The result of this research is that the total value of each dimension is plan 69.93, source 65.00, make 65.49, deliver 53.28, and return 53.28 which are included in the category average. So that total performance value supply chain is 61.40 which is included in the category average. However, there are still several performance indicators that fall into the categories average (50-70), marginal (40-50), and poor (<40) which are priorities for improvement. These improvements are given based on the implementation of best practices in the SCOR model.
