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Implementation of overall equipment effectiveness and financial performance assessment framework in a semiconductor manufacturing facility: a case study

Chen Fung Liew et al.

International Journal of Productivity and Quality Management2026https://doi.org/10.1504/ijpqm.2026.150896article
AJG 1
Weight
0.50

What the paper says

This paper expands the overall equipment effectiveness (OEE) so that the financial performance of the equipment at any OEE can be evaluated. The equipment performance in operationally and financially completely narrates the effectiveness of the operation. Prior studies related OEE to profit, revenue, equipment acquisition cost, operating cost, and maintenance cost to measure equipment financial performance in OEE. A discussion is provided why the profit, revenue, and operating cost are not relevant to OEE. This study suggests the equipment cost efficiency (ECE) metric in the framework to quantify how much of the equipment acquisition cost and maintenance cost are wasted by OEE losses. The ECE framework is demonstrated by a semiconductor manufacturer. The framework effectively saves 48.7% cost wastage by increasing the OEE by 21.6%.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijpqm.2026.150896

Or copy a formatted citation

@article{chen2026,
  title        = {{Implementation of overall equipment effectiveness and financial performance assessment framework in a semiconductor manufacturing facility: a case study}},
  author       = {Chen Fung Liew et al.},
  journal      = {International Journal of Productivity and Quality Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijpqm.2026.150896},
}

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Implementation of overall equipment effectiveness and financial performance assessment framework in a semiconductor manufacturing facility: a case study

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.