Abstract

Food safety has become an important issue of end consumers, encouraging Indonesian government and food processing industry to fulfill the human health requirements. Risk assessment is key element of food management system to food safety. This study is aimed to develop risk assessment for food safety in slaughterhouse industry using Bayesian Network. Several stages are used in this study, such as identifying critical points in food safety, determining opportunities for food safety contamination as well as calculating and determining the priority of food safety critical points. Single case study was carried out in chicken slaughterhouse companies. The results showed that there were 8 critical points in the process of chicken slaughterhouse, with the main critical point being in the preparation process (raw material), especially in the risk of physical conditions (weak or unhealthy chickens).

Original languageEnglish
Title of host publication2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
PublisherIEEE Computer Society
Pages1103-1106
Number of pages4
ISBN (Electronic)9781538672204
DOIs
Publication statusPublished - 14 Dec 2020
Event2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020 - Virtual, Singapore, Singapore
Duration: 14 Dec 202017 Dec 2020

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2020-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period14/12/2017/12/20

Keywords

  • Bayesian Network
  • Food Safety
  • Risks Assessment
  • Slaughterhouse Industry

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