OPERATIONAL RISK ANALYSIS FOR BARCODING PROJECT IN PT. XYZ WITH ENTERPRISE RISK MANAGEMENT METHOD
Authors
Amanda Putri Kusumawardhani, Endang Chumaidiyah, Rita Zulbetti
Corresponding Author
Amanda Putri Kusumawardhani
Available Online March 2019.
- DOI
- https://doi.org/10.2991/icoiese-18.2019.52How to use a DOI?
- Keywords
- Enterprise Risk Management, Operational Risk, Barcoding Project
- Abstract
- PT. XYZ is running the Bacoding Project to facilitate the process of recording raw material data in the production process. This Barcoding Project certainly has operational risks that may occur, therefore by using the Enterprise Risk Management approach (ERM) that is a process, effected by an entity’s board of directors, management and other personnel, applied in strategy setting and across the enterprise which focused on the operational risk of the company. The result of risk identification, found there are 26 operational risk that occur in Barcoding Project. These risks stem from human resource risk, system risk, barcoding system risk, production risk, machine risk, and other risks. The result of the assessment of each risk is based on its severity and the probability of occurrence, besides that this study calculates the total operational risks that may occur in Barcoding Project. From the risk assessment conducted in the research, it can be seen from the category high risk, medium risk and low risk then, the risks that need to be prioritized to be controlled are risk with category high risk and medium risk.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Amanda Putri Kusumawardhani AU - Endang Chumaidiyah AU - Rita Zulbetti PY - 2019/03 DA - 2019/03 TI - OPERATIONAL RISK ANALYSIS FOR BARCODING PROJECT IN PT. XYZ WITH ENTERPRISE RISK MANAGEMENT METHOD BT - 2018 International Conference on Industrial Enterprise and System Engineering (ICoIESE 2018) PB - Atlantis Press SP - 292 EP - 297 SN - 2589-4943 UR - https://doi.org/10.2991/icoiese-18.2019.52 DO - https://doi.org/10.2991/icoiese-18.2019.52 ID - Kusumawardhani2019/03 ER -