Assessment of planning methods at job-order manufacturing facilities
URI (for links/citations):
https://iopscience.iop.org/article/10.1088/1757-899X/862/4/042024https://elib.sfu-kras.ru/handle/2311/143308
Author:
Kuznetsov, A. S.
Noskova, E. E.
Corporate Contributor:
Институт космических и информационных технологий
Кафедра систем автоматики, автоматизированного управления и проектирования
Date:
2020-05Journal Name:
IOP Conference Series: Materials Science and EngineeringJournal Quartile in Scopus:
без квартиляBibliographic Citation:
Kuznetsov, A. S. Assessment of planning methods at job-order manufacturing facilities [Текст] / A. S. Kuznetsov, E. E. Noskova // IOP Conference Series: Materials Science and Engineering. — 2020. — Т. 862 (№ 4).Abstract:
An approach to assess the efficiency of solving the problem of production planning at job-order small-scale manufacturing is presented. In consideration of their dimensionality, initial data are analyzed to build an optimal plan based on known scheduling methods for the production of different types. Reducing performance time of production plans by 10 % at the increase in the size of the order with technological operations for processes of different types at the use of directed exhaustive methods is shown