Sensory tests are quality assurance tools commonly used to measure and/or detect the presence of abnormal characteristics perceived through the senses in lots of raw material and final products in many manufacturing and food industries. In this paper two acceptance sampling plans for sensory evaluation are designed, and an illustration of the performance of such plans applied to a real data set is presented.
REFERENCES
1.
E.
Carolino
and I.
Barão
, “Robust methods in acceptance sampling
,” Revstat
11
(1
), 2013
, 67
–82
.2.
E.IV.
Chambers
and M.B.
Wolf
, Sensory Testing Methods. ASTM MNL 26
, Philadelphia
: American Society for Testing and Materials
, 1996
, 2nd ed..3.
F.
Figueiredo
, A.
Figueiredo
and M.I.
Gomes
, “Comparison of Sampling Plans by Variables using the Boot-strap and Monte Carlo Simulations
,” AIP Conference Proceedings
1618
, 2014
, 535
–538
.4.
M.I.
Gomes
, “Acceptance sampling
,” In Lovric
, M.
(ed.), International Encyclopedia of Statistical Science
, Part 1, 5
–7
, ISBN: 978-3-642-04897-5, Springer, 2011
.5.
M.C.
Meilgaard
, “Current progress in sensory analysis. A review
,” American Society of Brewing Chemists
49
(3
), 1991
, 101
–109
.6.
M.C.
Meilgaard
, G.V.
Civille
and B.T.
Carr
., Sensory Evaluation Techniques
, Boca Raton, Florida
: CRC Press, Inc
., 1999
, 3rd
ed.
.7.
D.C.
Montgomery
, Introduction to Statistical Quality Control: a Modern Introduction
, John Wiley & Sons
, 2009
, 6th ed..8.
A.M.
Munoz
, G.V.
Civille
and B.T.
Carr
., Sensory Evaluation in Quality Control
. New York
: Van Nostrand Reinhold
, 1992
.
This content is only available via PDF.
© 2018 Author(s).
2018
Author(s)
You do not currently have access to this content.
