Risk Management and Assessment Hybrid Framework for Business Process Reengineering Projects: Application in Auto-Motive Sector
RAFFAK Hicham,
LAKHOUILI Abdallah,
MANSOURI Mohamed
Abstract:This study introduces an integrated method for managing process risks in a Business Process Reengineering (BPR) project, using Robust Data Envelopment Analysis (RDEA) and machine learning (ML). The goal is to prioritize risks based on three standard factors of PFMEA: Severity, Occurrence, and Detection (S-O-D), and incorporating two additional factors (Breakdown Cost and Breakdown Duration) seen as undesirable outputs. The model also accounts for the effect of uncertainty on expert-estimated values by applying… Show more
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