Driving continuous improvement

Sai Nudurupati, Umit Bititci

Research output: Contribution to journalArticle

16 Citations (Scopus)
4149 Downloads (Pure)

Abstract

The quality of improvement depends on the quality of leading and lagging performance indicators. For this reason, several tools, such as process mapping, cause and effect analysis and FMEA, need to be used in an integrated way with performance measurement models, such as balanced scorecard, integrated performance measurement system, performance prism and so on. However, in our experience, this alone is not quite enough due to the amount of effort required to monitor performance indicators at operational levels. The authors find that IT support is key to the successful implementation of performance measurement-driven continuous improvement schemes.
Original languageEnglish
Pages (from-to)230-235
Number of pages6
JournalManufacturing Engineer
Volume81
Issue number5
DOIs
Publication statusPublished - 2002

Keywords

  • continuous improvement
  • design engineering
  • production planning

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  • Cite this

    Nudurupati, S., & Bititci, U. (2002). Driving continuous improvement. Manufacturing Engineer, 81(5), 230-235. https://doi.org/10.1049/me:20020506