DocumentCode :
37934
Title :
A Quality Flow Model in Battery Manufacturing Systems for Electric Vehicles
Author :
Feng Ju ; Jingshan Li ; Guoxian Xiao ; Ningjian Huang ; Biller, Stephan
Author_Institution :
Dept. of Ind. & Syst. Eng., Univ. of Wisconsin, Madison, WI, USA
Volume :
11
Issue :
1
fYear :
2014
fDate :
Jan. 2014
Firstpage :
230
Lastpage :
244
Abstract :
Improving quality in large volume battery manufacturing systems for hybrid and electric vehicles is of significant importance. In this paper, we present a flow model to analyze and improve product quality in electrical vehicle battery assembly lines with 100% inspections and repairs for defective parts. Specifically, a battery assembly line consisting of multiple inspection stations is considered. After each inspection, defective parts will be repaired and sent back to the line. A quality flow model is introduced to analyze quality propagations along the battery production line. Analytical expressions of final product quality are derived and structural properties, such as monotonicity and sensitivities, are investigated. A bottleneck identification and mitigation method is introduced to improve quality performance. Finally, a case study is presented to illustrate the applicability of the method.
Keywords :
assembling; electric vehicles; inspection; maintenance engineering; primary cells; product quality; quality control; analytical expressions; battery manufacturing systems; bottleneck identification; bottleneck mitigation method; electrical vehicle battery assembly lines; inspection stations; monotonicity property; product quality; quality flow model; quality performance; quality propagations; repairs; sensitivities property; Assembly; Batteries; Inspection; Maintenance engineering; Product design; Production; Quality assessment; Battery; bottleneck; flow model; monotonicity; quality; repair; sensitivity; serial line;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2013.2237765
Filename :
6425437
Link To Document :
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