Cross-Functional Quality Management: Case Study of Sowing of Spring Plants | Zendy

Elena Krueger | Zendy; Dmitry Kurtener | Zendy; Andrew Migut | Zendy

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Cross-Functional Quality Management: Case Study of Sowing of Spring Plants

Author(s) -

Elena Krueger,

Dmitry Kurtener,

Andrew Migut

Publication year - 2016

Publication title -

european agrophysical journal

Language(s) - English

Resource type - Journals

eISSN - 2296-7664

pISSN - 2296-763X

DOI - 10.17830/j.eaj.2016.03.018

Subject(s) - spring (device) , sowing , quality (philosophy) , environmental science , engineering , agricultural engineering , agronomy , biology , mechanical engineering , physics , quantum mechanics

Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.

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