Bus body manufacturing system via FEMA and fuzzy logic controller

Abstract

Failure mode and effect analysis has been generally applied to investigate the potential failures in systems, products, etc. Here, the bus body structure fabricating process is taken to assess the potential failure of a product and its effects. The failure mode of the bus body structure is analyzed based on the “Risk Priority Number (RPN)” which is the criteria to decide the risk priorities of the failure modes. Usually, the evaluation of RPN is based on the risk factors like “Severity(S), Occurrence (O), and Detection (D)”. To improve the failure mode analysis and ranking of bus body structure, a simulation technique i.e., fuzzy logic (FL) is proposed where the optimal RPN is achieved. With the goal of optimizing the generated rules based on the failure modes, hybrid teaching and learning-based optimization (TLBO) algorithm is presented with three distinctive metaheuristics updating behaviors. The optimal outcome demonstrates that the attained error rate between the output of desired and predicted values are firmly equivalent to zero. The proposed FL with hybrid TLBO achieves promising results in terms of the failure modes determination and risk prioritization.