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A Quality Scorecard for the era of Industry 4.0

Shin, Wan Seon; Dahlgaard, Jens J.; Dahlgaard-Park, Su Mi LU and Kim, Min Gyu (2018) In Total Quality Management and Business Excellence 29(9-10). p.959-976
Abstract

A Quality Scorecard (QSC) performance measurement model is proposed to evaluate the quality aspects of an organization in Industry 4.0. To design a QSC for the ‘Fourth Industrial Revolution’, we examined existing measures regarding costs of quality items. The measurement system was refined by simplifying duplicate measures and incorporating quality elements considered in recent international standard revisions. This paper explains the QSC system and its practical use. Two key results were obtained. First, the QSC measures were reduced from a total of 139 potential measures to 15, 30, and 60 for simple, general, and detailed models, respectively. Second, a so-called QSC wheel, a virtual tool to assess weaknesses in existing performance... (More)

A Quality Scorecard (QSC) performance measurement model is proposed to evaluate the quality aspects of an organization in Industry 4.0. To design a QSC for the ‘Fourth Industrial Revolution’, we examined existing measures regarding costs of quality items. The measurement system was refined by simplifying duplicate measures and incorporating quality elements considered in recent international standard revisions. This paper explains the QSC system and its practical use. Two key results were obtained. First, the QSC measures were reduced from a total of 139 potential measures to 15, 30, and 60 for simple, general, and detailed models, respectively. Second, a so-called QSC wheel, a virtual tool to assess weaknesses in existing performance measurement systems, was developed. The QSC wheel may effectively be used in analysing existing performance measurement systems, and may also be applied to evaluate qualitative performance levels in Industry 4.0.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cost of quality, Industry 4.0, QSC, qualitative performance measures, Quality Scorecard
in
Total Quality Management and Business Excellence
volume
29
issue
9-10
pages
18 pages
publisher
Routledge
external identifiers
  • scopus:85050796466
ISSN
1478-3363
DOI
10.1080/14783363.2018.1486536
language
English
LU publication?
yes
id
d3d09199-84db-49d0-9349-3a8476f5c766
date added to LUP
2018-08-16 16:11:09
date last changed
2019-02-20 11:24:19
@article{d3d09199-84db-49d0-9349-3a8476f5c766,
  abstract     = {<p>A Quality Scorecard (QSC) performance measurement model is proposed to evaluate the quality aspects of an organization in Industry 4.0. To design a QSC for the ‘Fourth Industrial Revolution’, we examined existing measures regarding costs of quality items. The measurement system was refined by simplifying duplicate measures and incorporating quality elements considered in recent international standard revisions. This paper explains the QSC system and its practical use. Two key results were obtained. First, the QSC measures were reduced from a total of 139 potential measures to 15, 30, and 60 for simple, general, and detailed models, respectively. Second, a so-called QSC wheel, a virtual tool to assess weaknesses in existing performance measurement systems, was developed. The QSC wheel may effectively be used in analysing existing performance measurement systems, and may also be applied to evaluate qualitative performance levels in Industry 4.0.</p>},
  author       = {Shin, Wan Seon and Dahlgaard, Jens J. and Dahlgaard-Park, Su Mi and Kim, Min Gyu},
  issn         = {1478-3363},
  keyword      = {cost of quality,Industry 4.0,QSC,qualitative performance measures,Quality Scorecard},
  language     = {eng},
  month        = {07},
  number       = {9-10},
  pages        = {959--976},
  publisher    = {Routledge},
  series       = {Total Quality Management and Business Excellence},
  title        = {A Quality Scorecard for the era of Industry 4.0},
  url          = {http://dx.doi.org/10.1080/14783363.2018.1486536},
  volume       = {29},
  year         = {2018},
}