Abstract:
In this paper, fault tree analysis (FTA) has been conducted to identify uncertainties in perishable product supply chain (PPSC). Supply chain of these products are comple...Show MoreMetadata
Abstract:
In this paper, fault tree analysis (FTA) has been conducted to identify uncertainties in perishable product supply chain (PPSC). Supply chain of these products are complex in nature due to short-life cycle and uncertain behavior. Fault tree is a top-down approach and based on structural analysis we identified the basic events for uncertainty occurrence that leads to failure in PPSC. There are anomalies in FTA such as data explosion and non-diagnosis of dynamic nature. Petri Net (PN) modelling addresses these issues. Relational matrix analysis is applied to evaluate minimal cut sets (MCS) in fault tree which identifies the uncertainty in PPSC. PN establish state equation and initial token to identify faults mathematically and to improve efficiency of PPSC. Finally, using PPSC as an example, the proposed method proved to be effective.
Published in: 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Date of Conference: 14-17 December 2020
Date Added to IEEE Xplore: 12 January 2021
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