SIMULATION MODEL OF PROCESS SPORADIC CONTROL

Author:

Gostev Ivan M., ,Golosov Pavel Е.,

Abstract

The control solutions for modern production with a large number of processes performed simultaneously require equal or more computing power than, for example, calculating hashes for bitcoin. Hereinafter the reference is made to the problem of maximizing the production of the quantity of some mechanical units, which include several types of details required to assemble the unit in a certain quantity. The details are assumed to be manufactured and delivered to the assembly shop in a certain set. It is required to ensure the production of details on a specified number of machines for the assembly of maximum units for a fixed time. Any detail is expected to be produced on any machine. The same details can be produced in parallel. The optimization parameters will be provided by number of details of the required nomenclature, as produced with limited machine support used for the time-constraint production of these details. The production of a unit results from the available details of required nomenclature and its assembly from such details. We consider the production simulation model focused on maximizing the output of assemblies and increasing the efficiency of the use of available equipment. To solve the problem, we use the sporadic control mechanism for the number of manufactured details.

Publisher

Asociatia Profesionala in Tehnologii Moderne de Fabricatie

Reference11 articles.

1. "1. Ageykin D.I., Kostina E.I., Kuznetsova N.N., (1959). Sensors of automatic control and adjustment system, MASHGIS, Moscow. 579 p. (in Russian).

2. 2. Erl T., Puttini R., Mahmood Z. (2013). Cloud Computing: Concepts, Technology & Architecture. Pearson, 528 p.

3. An effective analysis on various scheduling algorithms in cloud computing;Sudheer;Proc of the International Conference on Inventive Computing and Informatics (ICICI),2017

4. Improving QoS of cloudlet scheduling via effective detailicle swarm model;Tomar;Lecture Notes in Electrical Engineering vol 768,2022

5. A SimEvents model for the analysis of scheduling and memory access delays in multicores;Brandberg C.;Proc of the 13th International Symposium on Industrial Embedded Systems (SIES) 2018 pp,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3