Please use this identifier to cite or link to this item:
https://scidar.kg.ac.rs/handle/123456789/12708
Title: | The prioritization of failures within the automotive industry: The two-step failure mode and effect analysis integrated approach |
Authors: | Banduka N. Aleksic, Aleksandar Komatina, Nikola Aljinovic A. Tadić D. |
Issue Date: | 2020 |
Abstract: | © IMechE 2020. Traditionally, in the automotive industry, the risk posed by failures in manufacturing is based on the conventional process failure mode and effect analysis. The market changes, as well as limited financial resources dedicated to business improvement, induce the need for employment of advanced management tools. The rating of failures is derived from the research using the suggested fuzzy classification method based on the Pareto analysis. It is assumed that the classification criterion should be determined as the product of the overall product choice and the risk priority numbers given by applying the traditional process failure mode and effect analysis. All the uncertainties that exist in the problem under consideration are represented by linguistic expressions that are modeled on the interval type-2 triangular fuzzy numbers. The overall product choice is based on a fuzzy analytical hierarchy process with interval type-2 triangular fuzzy numbers. The execution of management initiatives based on the priority of failures can result in the improvement of the manufacturing process and overall business efficiency. The proposed model is tested using real-life data from a single vehicle manufacturer operating in the Western Balkans and representing a part of a global automotive supply chain. |
URI: | https://scidar.kg.ac.rs/handle/123456789/12708 |
Type: | article |
DOI: | 10.1177/0954405420926906 |
ISSN: | 0954-4054 |
SCOPUS: | 2-s2.0-85086514051 |
Appears in Collections: | Faculty of Engineering, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
PaperMissing.pdf Restricted Access | 29.86 kB | Adobe PDF | View/Open |
Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.