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  • 标题:Implementing self-service business analytics supporting lean manufacturing: A state-of-the-art review
  • 本地全文:下载
  • 作者:Simon Lizotte-Latendresse ; Yvan Beauregard
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:11
  • 页码:1143-1148
  • DOI:10.1016/j.ifacol.2018.08.436
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractPiloting lean manufacturing projects requires dynamically tailoring suitable sets of metrics. Quick turnaround in implementing such metrics is critical, as the typical duration of a Lean Six Sigma project is 3 to 6 months. Self-service Business Analytics (SSBA) can provide managers with the much-needed flexibility to efficiently design and redesign comprehensive metrics in fragmented information system contexts. A review of state-of-the-art practices for SSBA implementation is performed, which lays down the foundations for an upcoming framework geared towards lean manufacturing. Key SSBA planning and architecture findings are summarized. Practical evaluation of the framework in a complex information system landscape through Design Science Research (DSR) is projected with the Canadian division of an international steel parts manufacturing company
  • 关键词:KeywordsSelf-service analyticsImplementationLean manufacturingBPMNConstructive Research
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