Efficacy of lean metrics in evaluating the performance of manufacturing systems

Mohammed Khadem, Sk Ahad Ali, Hamid Seifoddini

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

The efficacy measure is an important indicator in lean performance measure. The research is to develop a quantitative analysis framework and a simulation methodology to evaluate the efficacy of lean metrics in the production systems. A procedure for quantitative analysis of lean metrics is developed and the evaluation of the lean effectiveness in predicting the performance is presented. Lean metrics are embedded into simulation model so that the simulator is able to provide automatically lean metrics for the systems without any extra effort. The embedded lean simulation is used to investigate the significance of various improvement opportunities. This efficacy of these metrics for the performance measurement is a leading indicator for a manufacturing system. A validation is done to show the effectiveness of the proposed systems. Significance: The efficacy of lean metrics in identifying the problems and underlying improvements needed to increase productivity in manufacturing and service systems.

Original languageEnglish
Pages (from-to)176-184
Number of pages9
JournalInternational Journal of Industrial Engineering : Theory Applications and Practice
Volume15
Issue number2
Publication statusPublished - Jun 2008

Fingerprint

Chemical analysis
Simulators
Productivity

Keywords

  • Efficacy
  • Efficiency
  • Lean Manufacturing
  • Lean Metrics
  • Lean Simulation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Efficacy of lean metrics in evaluating the performance of manufacturing systems. / Khadem, Mohammed; Ali, Sk Ahad; Seifoddini, Hamid.

In: International Journal of Industrial Engineering : Theory Applications and Practice, Vol. 15, No. 2, 06.2008, p. 176-184.

Research output: Contribution to journalArticle

@article{73029172141f4c83bf551b7d76c46310,
title = "Efficacy of lean metrics in evaluating the performance of manufacturing systems",
abstract = "The efficacy measure is an important indicator in lean performance measure. The research is to develop a quantitative analysis framework and a simulation methodology to evaluate the efficacy of lean metrics in the production systems. A procedure for quantitative analysis of lean metrics is developed and the evaluation of the lean effectiveness in predicting the performance is presented. Lean metrics are embedded into simulation model so that the simulator is able to provide automatically lean metrics for the systems without any extra effort. The embedded lean simulation is used to investigate the significance of various improvement opportunities. This efficacy of these metrics for the performance measurement is a leading indicator for a manufacturing system. A validation is done to show the effectiveness of the proposed systems. Significance: The efficacy of lean metrics in identifying the problems and underlying improvements needed to increase productivity in manufacturing and service systems.",
keywords = "Efficacy, Efficiency, Lean Manufacturing, Lean Metrics, Lean Simulation",
author = "Mohammed Khadem and Ali, {Sk Ahad} and Hamid Seifoddini",
year = "2008",
month = "6",
language = "English",
volume = "15",
pages = "176--184",
journal = "International Journal of Industrial Engineering : Theory Applications and Practice",
issn = "1072-4761",
publisher = "University of Cincinnati",
number = "2",

}

TY - JOUR

T1 - Efficacy of lean metrics in evaluating the performance of manufacturing systems

AU - Khadem, Mohammed

AU - Ali, Sk Ahad

AU - Seifoddini, Hamid

PY - 2008/6

Y1 - 2008/6

N2 - The efficacy measure is an important indicator in lean performance measure. The research is to develop a quantitative analysis framework and a simulation methodology to evaluate the efficacy of lean metrics in the production systems. A procedure for quantitative analysis of lean metrics is developed and the evaluation of the lean effectiveness in predicting the performance is presented. Lean metrics are embedded into simulation model so that the simulator is able to provide automatically lean metrics for the systems without any extra effort. The embedded lean simulation is used to investigate the significance of various improvement opportunities. This efficacy of these metrics for the performance measurement is a leading indicator for a manufacturing system. A validation is done to show the effectiveness of the proposed systems. Significance: The efficacy of lean metrics in identifying the problems and underlying improvements needed to increase productivity in manufacturing and service systems.

AB - The efficacy measure is an important indicator in lean performance measure. The research is to develop a quantitative analysis framework and a simulation methodology to evaluate the efficacy of lean metrics in the production systems. A procedure for quantitative analysis of lean metrics is developed and the evaluation of the lean effectiveness in predicting the performance is presented. Lean metrics are embedded into simulation model so that the simulator is able to provide automatically lean metrics for the systems without any extra effort. The embedded lean simulation is used to investigate the significance of various improvement opportunities. This efficacy of these metrics for the performance measurement is a leading indicator for a manufacturing system. A validation is done to show the effectiveness of the proposed systems. Significance: The efficacy of lean metrics in identifying the problems and underlying improvements needed to increase productivity in manufacturing and service systems.

KW - Efficacy

KW - Efficiency

KW - Lean Manufacturing

KW - Lean Metrics

KW - Lean Simulation

UR - http://www.scopus.com/inward/record.url?scp=77949310654&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77949310654&partnerID=8YFLogxK

M3 - Article

VL - 15

SP - 176

EP - 184

JO - International Journal of Industrial Engineering : Theory Applications and Practice

JF - International Journal of Industrial Engineering : Theory Applications and Practice

SN - 1072-4761

IS - 2

ER -