Bus body manufacturing system via FEMA and fuzzy logic controller
- PDF / 1,628,721 Bytes
- 13 Pages / 595.276 x 790.866 pts Page_size
- 0 Downloads / 215 Views
(0123456789().,-volV)(0123456789(). ,- volV)
METHODOLOGIES AND APPLICATION
Bus body manufacturing system via FEMA and fuzzy logic controller A. Muthukumar1 • K. Krishnamurthy2
Springer-Verlag GmbH Germany, part of Springer Nature 2020
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. Keywords Bus body manufacturing Failure mode and effect analysis Welding Drilling Dressing Fuzzy logic and TLBO algorithm
1 Introduction In the present financial conditions, organizations must guarantee quality products conveyed on time at an aggressive cost (Case et al. 2010). There exists a ceaselessly expanding interest for quality products in the business and consequently, manufacturing frameworks (Almannai et al. 2008) should be neatly checked for any unnatural deviation in the condition of the process in order to deliver products with predictable quality (Yousefi et al. 2018). These strategies are especially critical for acquiring the most ideal specialized and monetary effects while maintaining the desired level of product quality (Pazireh et al. 2017). A standout among the essential preventive strategies is FMEA in the manufacturing business (Liu et al. 2014). FMEA, giving a structure for cause and its Communicated by V. Loia. & A. Muthukumar [email protected] 1
Department of Mechanical Engineering, Arulmurugan College of Engineering, Thennilai, Karur 639206, India
2
Department of Mechatronics Engineering, Kongu Engg College, Perundurai, Erode 638052, India
effect analysis of the potential product or process failures is a generally utilized building strategy for designing, distinguishing and eliminating known as well as potential failures, issues, errors (Rafie and Namin 2015). It is a procedure for risk administration and quality change for recognizing potential reasons for the failure of products and processes, their measurement by Braaksma et al. (2013) risk evaluation, a ra
Data Loading...
