Improving battery manufacturing through quality and productivity bottleneck indicators

Feng Ju, Jingshan Li, Guoxian Xiao, Ningjian Huang, Jorge Arinez, Stephan Biller, Weiwen Deng

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Battery manufacturing has attracted more research attention due to the increasing demand of alternative energy source for hybrid and electric vehicles. The coupling between productivity and quality in battery manufacturing is exhibited in various ways. This chapter considers a battery assembly system consisting of a serial production line with multiple inspections and repairs. It investigates the strong correlation between quality failure rate and throughput of conforming batteries existing in such systems, and introduces an integrated model of productivity and quality. The chapter develops analytical methods to estimate the production rate of conforming batteries based on quality flow model and overlapping decomposition approach. The complex system is decomposed into a set of overlapped serial lines and further analysis in serial lines is carried out based on aggregation procedures. The chapter also investigates bottleneck identification methods based on machine blockage and starvation probabilities and inspecting statistics.

Original languageEnglish (US)
Title of host publicationAdvances in Battery Manufacturing, Services, and Management Systems
PublisherWiley-IEEE Press
Pages29-56
Number of pages28
ISBN (Electronic)9781119060741
ISBN (Print)9781119056492
DOIs
StatePublished - Oct 3 2016
Externally publishedYes

Keywords

  • Battery assembly system
  • Battery manufacturing
  • Bernoulli quality models
  • Bottleneck identification methods
  • Electric vehicles
  • Machine blockage
  • Overlapping decomposition approach
  • Productivity system
  • Serial production line
  • Starvation probabilities

ASJC Scopus subject areas

  • Engineering(all)

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