Economic Consequences of Measurement Errors
In this article John Napper highlights the monetary effect of measurement errors for the loading of road tankers. His example of a terminal with 40 million litres per month where 0.1% error is equivalent to £200,000 per annum highlights the problem. He indicates sources of error and the way that mic...
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SAGE Publishing
1986-06-01
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Series: | Measurement + Control |
Online Access: | https://doi.org/10.1177/002029408601900507 |
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doaj-098f885be8684b18b1c6b6a49db78f352020-11-25T03:22:12ZengSAGE PublishingMeasurement + Control0020-29401986-06-011910.1177/002029408601900507Economic Consequences of Measurement ErrorsJohn NapperIn this article John Napper highlights the monetary effect of measurement errors for the loading of road tankers. His example of a terminal with 40 million litres per month where 0.1% error is equivalent to £200,000 per annum highlights the problem. He indicates sources of error and the way that microprocessors can control errors and thereby avoid the large financial consequences.https://doi.org/10.1177/002029408601900507 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
John Napper |
spellingShingle |
John Napper Economic Consequences of Measurement Errors Measurement + Control |
author_facet |
John Napper |
author_sort |
John Napper |
title |
Economic Consequences of Measurement Errors |
title_short |
Economic Consequences of Measurement Errors |
title_full |
Economic Consequences of Measurement Errors |
title_fullStr |
Economic Consequences of Measurement Errors |
title_full_unstemmed |
Economic Consequences of Measurement Errors |
title_sort |
economic consequences of measurement errors |
publisher |
SAGE Publishing |
series |
Measurement + Control |
issn |
0020-2940 |
publishDate |
1986-06-01 |
description |
In this article John Napper highlights the monetary effect of measurement errors for the loading of road tankers. His example of a terminal with 40 million litres per month where 0.1% error is equivalent to £200,000 per annum highlights the problem. He indicates sources of error and the way that microprocessors can control errors and thereby avoid the large financial consequences. |
url |
https://doi.org/10.1177/002029408601900507 |
work_keys_str_mv |
AT johnnapper economicconsequencesofmeasurementerrors |
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