Justification of the production lines arrangement based on quantitative and graphic methods for assessing the level of equipment excellence

Ескіз

Дата

2018

ORCID

DOI

Науковий ступінь

Рівень дисертації

Шифр та назва спеціальності

Рада захисту

Установа захисту

Науковий керівник

Члени комітету

Видавець

Анотація

On the example of the estimation of technical and economic indicators of machines for the production of burger products, the task of multicriterial choice of equipment for the production lines arrangement by methods of spectral analysis, Pareto and distance to the goal was solved. The method of spectral analysis is based on the apparatus of dead-end tests, involves comparing all the definite combinations of features which describe the object, has advantages over Pareto and motion to the goal methods, because it provides a generalized mathematical evaluation of the specimens which are considered. After analyzing five indicators (productivity, capacity, capacity of the feeding bin, weight, overall dimensions) of eight samples of equipment for the burger products production from different manufacturers, it has been established that according to the chosen parameters, the preference should be given to the machine Laminerva C/E 653 1ph. The correctness of a decision primarily depends on the correct choice of indicators to be compared. In their composition, in the future it is necessary to include indicators of reliability and durability, as well as quality indicators of finished products.

Опис

Ключові слова

multicriterial choice, method of spectral analysis, Pareto front, equipment, багатокритеріальний вибір, метод спектрального аналізу, фронт Парето, обладнання, многокритериальный выбор, метод спектрального анализа, оборудование, кафедра машин і апаратів харчових та фармацевтичних виробництв

Бібліографічний опис

Vasylkov, V. Justification of the production lines arrangement based on quantitative and graphic methods for assessing the level of equipment excellence / V. Vasylkov, O. Chepeliuk, O. Chepeliuk // 57th Science Conference of Ruse University, Bulgaria, 2018. – P. 388.