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Predmet ovog rad je postavka modela kritičnih kontingentnih faktora za primenu alata kvaliteta i njegovo eksperimentalno potvrđivanje za proizvode motorsko-traktorske grupacije proizvođača. Očekivane veze između kontingentnih faktora i pokazatelja primene alata kvaliteta su potvrđene i statistički modeli, koji opisuju uticaj tehničkih i organizacionih kontingentnih faktora na primenu alata kvaliteta su postavljeni. Rezultati istraživanja pokazuju da faktori u predloženom modelu imaju uticaj na primenu alata kvaliteta, a zakoni uticaja opisani su regresionim jednačinama. Praktična korist ovog rada ogleda se u: a) mogućnosti određivanja potrebe za korišćenjem određenog alata kvaliteta pre njegovog uvođenja u primenu, b) mogućnosti određivanja potrebe za širim obimom primene određenog alata kvaliteta tokom njegove primene, a usled dejstva kontingentnih faktora, v) mogućnosti određivanja potrebe i opsega primene određenog alata kvaliteta pre uvođenja proizvoda u proizvodnju i g) mogućnosti određivanja uzroka u slučaju neuspeha određenog alata kvaliteta., The subject of this paper is constitution of a model of critical contingency factors for the application of quality tools and its experimental confirmation on the products in-group of engine and tractor manufacturers. The expected relations between contingency factors and the application of quality tools are confirmed and statistical models, describing the influence of technical and organizational factors on quality tools implementation and choice indicators, are given. Results of the survey showed that factors identified in the proposed model have an influence on the choice of quality tools, and laws of their influence are given as regression equations. Practical benefits from this paper are: a) it is possible to determine the necessity of application of a certain quality tool prior to it's implementation; b) it is possible to determine the need for a wider range of application of a certain quality tool during the process of its implementation; c) it is possible to determine a set and range of application of required quality tools before the production of new products starts and d) in case of failure of application of a certain quality too, it is possible to discover its possible causes.