MATEC Web Conf.
Volume 372, 2022International Conference on Science and Technology 2022 “Advancing Science and Technology Innovation on Post Pandemic Through Society 5.0” (ICST-2022)
|Number of page(s)||5|
|Section||Process Engineering and Manufacture|
|Published online||08 December 2022|
Risk Analysis in the Supply Chain of Cane Sugar Industry in Sidoarjo
1 Industrial Engineering, Faculty Engineering, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
2 Industrial Engineering, Faculty Engineering, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
3 Industrial Engineering, Faculty Engineering, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
* Corresponding author: firstname.lastname@example.org
Fluctuating demand conditions will cause a lot of uncertainty that can pose risks. In this condition, the company must have the right strategy to minimize the risks that occur to increase competitiveness. The sugar industry is an industry that has a complex supply chain flow, and of course,every process is inseparable from risks. The purpose of this study is to identify and analyze the potential risks in the company's supply chain as a basis for preparing the right strategy for the company. The Supply chain Operation Reference (SCOR) and House Of Risk (HOR) methods were used in this study to identify possible processes and risks. House Of Risk Phase 1 results in 30 risk events and 44 risk agents. And of the 44 selected risk agents, 13 priority risk agents have the highest probability of occurrence. The 13 risk agents come from the plan, source, make, and delivery processes, but the dominant risk agents appear in the make and source processes.
Key words: SCRM / SCOR / HOR
© The Authors, published by EDP Sciences, 2022
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.