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IMPROVING QUALITY ASSURANCE TECHNIQUES FOR PRODUCING AND HANDLING AGRICULTURAL CROPS
Year:
1990
Source of publication :
Journal of Food Quality
Authors :
Lidror, Amos
;
.
Volume :
13
Co-Authors:
LIDROR, A., Institute of Agricultural Engineering, Volcani Center, P. O. Box 6, Bet Dagan, 50250, Israel
PRUSSIA, S.E., University of Georgia, Agricultural Engineering Department, Georgia Experiment Station, Griffin, Georgia, 30223-1797, United States
Facilitators :
From page:
171
To page:
184
(
Total pages:
14
)
Abstract:
The delivery of high quality agricultural products is more essential than ever before due to increasing consciousness of quality by consumers. The best way for successful marketing is to offer products of superior quality and consistency. Quality is defined as conformance to a customer's price limited anticipated needs. The needs of customers are dynamic, so strategies must involve continuous improvement and decreasing variability. Agricultural production and marketing can be considered an industry, so appropriate industrial engineering (IE) techniques can be practiced for improving quality. It is necessary to control principal stages by following a systematic approach which includes: clearly defining specifications, providing measurement methods, and recording and analyzing data for decreasing variability through Statistical Process Control (SPC) technique. The prime method for controlling the quality of agricultural products as they flow through the marketing system is with statistically valid sampling at changeover points to determine if processes are in control and for identifying corrective actions. Flow chart techniques are very useful for selecting the best sampling points in the flow of fresh fruits and vegetables to market. Use of other SPC techniques may be considered such as: sampling plans, frequency distributions and histograms, graphs, Pareto analysis, cause and effect analysis, scatter diagrams, and charts. Results may be used for improving processes, corrective actions, or pricing decisions according to quality evaluation. Copyright © 1990, Wiley Blackwell. All rights reserved
Note:
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More details
DOI :
10.1111/j.1745-4557.1990.tb00015.x
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
20000
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:33
Scientific Publication
IMPROVING QUALITY ASSURANCE TECHNIQUES FOR PRODUCING AND HANDLING AGRICULTURAL CROPS
13
LIDROR, A., Institute of Agricultural Engineering, Volcani Center, P. O. Box 6, Bet Dagan, 50250, Israel
PRUSSIA, S.E., University of Georgia, Agricultural Engineering Department, Georgia Experiment Station, Griffin, Georgia, 30223-1797, United States
IMPROVING QUALITY ASSURANCE TECHNIQUES FOR PRODUCING AND HANDLING AGRICULTURAL CROPS
The delivery of high quality agricultural products is more essential than ever before due to increasing consciousness of quality by consumers. The best way for successful marketing is to offer products of superior quality and consistency. Quality is defined as conformance to a customer's price limited anticipated needs. The needs of customers are dynamic, so strategies must involve continuous improvement and decreasing variability. Agricultural production and marketing can be considered an industry, so appropriate industrial engineering (IE) techniques can be practiced for improving quality. It is necessary to control principal stages by following a systematic approach which includes: clearly defining specifications, providing measurement methods, and recording and analyzing data for decreasing variability through Statistical Process Control (SPC) technique. The prime method for controlling the quality of agricultural products as they flow through the marketing system is with statistically valid sampling at changeover points to determine if processes are in control and for identifying corrective actions. Flow chart techniques are very useful for selecting the best sampling points in the flow of fresh fruits and vegetables to market. Use of other SPC techniques may be considered such as: sampling plans, frequency distributions and histograms, graphs, Pareto analysis, cause and effect analysis, scatter diagrams, and charts. Results may be used for improving processes, corrective actions, or pricing decisions according to quality evaluation. Copyright © 1990, Wiley Blackwell. All rights reserved
Scientific Publication
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