Likelihood-based Bayesian Method for Assessing Process Risk in Real Time

• 발행기관: 한국산업경영시스템학회
• 저자명: Chang-Ho Chin Aida Mercado
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2011년 추계학술대회 논문집, 42~42쪽, 전체 1쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2011.10.27

영문 초록

A process is a sequence of interdependent and linked activities to accomplish a predetermined goal. The early detection of process instances terminated without reaching the goal reduces the loss of resources. We propose a likelihood-based Byesian method to estimate the abnormal termination probability of process instances in real time. The estimated probability could be used as a precaution for the worst or a basis for go/no-go decision.

목차

Abstract

키워드

Real-time Risk Assessment Business Activity Monitoring Likelihood function Bayesian Inference