| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 13001 | |
| Number of page(s) | 8 | |
| Section | Industrial and Health Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202020213001 | |
| Published online | 10 November 2020 | |
Perfect order fulfillment in construction supply chain performance
Civil and Planning Department, Vocational School, Diponegoro University, Semarang 50275, Indonesia
* Corresponding author: mohnursholeh@live.undip.ac.id
The problem of construction supply chains is the fragmentation of unsustainable projects such as manufacturing. Therefore it is necessary to have supply chain performance indicator standards related to the procurement of materials that can be used as a reference for the performance of a project or contractor. The purpose of this study is to measure the performance of the construction supply chain with the perfect order fulfillment (POF) indicator adopted from the Supply Chain Operations Reference (SCOR) 12.0. The adoption stage starts from the definition in construction to the calculation of indicators in the project. The results showed that suppliers of steel and ready mix concrete at close range from the project had better performance. In the case study, the perfect order fulfillment performance of steel suppliers with a distance of 345 km is worth 89.476% while suppliers with a distance of 540 km are worth 87.535%. The supplier of ready mix concrete within 7.3 km is worth 95.355% and the supplier with a distance of 15.7 km is 91.705%.
© The Authors, published by EDP Sciences, 2020
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.