Reliability and availability analysis for robot subsystem in automotive assembly plant: A case study

Fudzin, A.F. and Majid, M.A.A. (2015) Reliability and availability analysis for robot subsystem in automotive assembly plant: A case study. In: UNSPECIFIED.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

The automotive assembly plant in a manufacturing environment consists of conveying systems and robots. Robots with high reliability will ensure no interruption during production. This study is to analyze the individual robot reliability compared to reliability of robots subsystem in series configuration. Availability was computed based on individual robots breakdown data. Failures due to robots breakdown often occurred during the operations. Actual maintenance data for a period of seven years were used for the analysis. Incorporation of failures rate and mean time between failures yield the reliability computation with the assumption of constant failure rate. Result from the analysis based on 5000 operating hours indicated reliability of series configuration of robots in a subsystem decreased to 2.8 in comparison to 38 reliability of the individual robot with the lowest reliability. The calculated lowest availability of the robots is 99.41. The robot with the lowest reliability and availability should be considered for replacement.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 11; Conference of 3rd International Conference of Mechanical Engineering Research, ICMER 2015 ; Conference Date: 18 August 2015 Through 19 August 2015; Conference Code:119245
Uncontrolled Keywords: Engineering research; Reliability; Reliability analysis; Robots; Safety engineering; Sandwich structures, Automotive assemblies; Constant failure rate; Conveying systems; High reliability; Manufacturing environments; Mean time between failures; Reliability and availability; Series configuration, Availability
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:17
Last Modified: 09 Nov 2023 16:17
URI: https://khub.utp.edu.my/scholars/id/eprint/5532

Actions (login required)

View Item
View Item