The method of counting allowances is created by prof. V. M. Kovan more than 40 years ago. Therefore today, when computers are used, it is possible to estimate more deeply the components of allowances and in that way it is possible to make the method of counting more accurate. The research object: it is a theoretical character job, which include dependent on such factors as: material solidity and of used up instrument. The purpose of the paper the allowance size depends on the production cost. The increase of allowance size, it will increase metal outlay, cost on cutting tool, electrical power, and so on. However on decrease of allowance size it will depend on worse detail waster percent and in some case the netting tool will work in malevolence conditions. So it’s very important to calculate allowance size. The elastic deformations of technological system which appear because the hardness of the material changes and because the machining tool wears mechanically. It is shown in this case intermediate dimensions of parts are counted.

Šiame tyriamajame darbe išnagrinėjome, kokią įtaką detalės užlaidoms ir tarpiniams matmenims, turės detalės geometrinės ir kitos paklaidos. Kaip keisis minimalaus matmens išraiška po apdirbimo, kai detalės paviršius bus išgaubtas arba įgaubtas. Nustatėme minimalias užlaidas, esant bazinių paviršių ir apdirbamų paviršių tarpusavio padėties paklaidoms, taip pat įvertinome pjovimo įrankio dilimo ir temperatūrinių deformacinų įtaką. / The subject of the work: The influence of geometric and other errors for overlaps and idle measurement. The object of the research: The calculation of overlaps constituent and minimal idle measurement. The aim of the research was to revael the influence of the geometric and other errors for overlap details and idle measurements. What is the change of the aspect of minimal measurement after manufacturing when the surface of the detail is convex on concave. The research has defermined the minimal overlaps, when there are errors of the base and manufactured surface inter – position, also the influence of the cutter decrease and resilience was determined.

The task of research: 1.To analyse and systematic body measures data; 2.to analyse and systematic control slaughter’s data; 3.to count correlation coefficients between different features. Methodology. It was found correlation coefficients between body measures, growth speed, carcass output and succulence. Correlation coefficients were count by using computer program – Excel. And correlation coefficient’s reliability was found by Snedekor. Conclusions: 1.Between separate body measures and growth fastness was determinated some connexion. The biggest correlation coefficients were between body measures and growth fastness in different periods of life r = 0,444 – 0,688 (P< 0,01). 2.The biggest correlation coefficients were determinated between hinder body parts measures and succulence r = 0,493 – 0,694 (P<0,01). 3.Because these high correlation coefficients show the firm belonging between determined features, so to fulfill the selection we need to take it to account. 4.It was noticed, that bulls which were dwars, they had bigger weight in different periods of their growth, instead the lofty ones. 5.The biggest growth fastness for Lithuanian Black and White breed bulls was definited from 12 – 15 months. They distinguished the biggest weight in this period. So, the most effective way to feed up these bulls would be till this period – 12 – 15 months.