Name
Abstract | ||
|---|---|---|
The risk in food safety has become a significant research issue that has often been studied in food safety research. However, a few studies pay attention to investigate the relationships between risks event based on the processes using the bayesian network method. This study aims to apply the bayesian network method to measure and analyse the risk in food safety with a case study in the cattle slaughtering industry. Five (5) stages are used to apply the Bayesian network method including identification of risk event in case study, determination of probability of risk event, development of Bayesian network structure, calculation for condition probability table (CPT), and analysis of food safety in case study. Research data collection was conducted through observations, discussion and interviews with supervisors in case study. 50 cow's observations are used to investigate food safety risk in cattle slaughtering industry. Eight (8) risk events for food safety were founded and the results of Bayesian network based on processes is the slaughter process is the highest food safety risk in cow slaughtering industry. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IEEM44572.2019.8978919 | 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
Keywords | Field | DocType |
Food Safety,Bayesian Network,risk,slaughtering industry | Data collection,Risk analysis (engineering),Bayesian network,Engineering,Operations management,Food safety | Conference |
ISSN | ISBN | Citations |
2157-3611 | 978-1-7281-3805-3 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hana Catur Wahyuni | 1 | 0 | 0.34 |
| Iwan Vanany | 2 | 27 | 4.24 |
| Udisubakti Ciptomulyono | 3 | 0 | 0.34 |