MODELING IN MANAGEMENT OF ECONOMIC SYSTEMS IN PROCESS PLANTS

O. Kravets
{"title":"MODELING IN MANAGEMENT OF ECONOMIC SYSTEMS IN PROCESS PLANTS","authors":"O. Kravets","doi":"10.33842/2313-125X/2020/19/95/101","DOIUrl":null,"url":null,"abstract":"The use of economic-mathematical apparatus, through the mathematical model construction of optimization of the sizes of the raw material base of processing enterprises is lighted in the article. Economic efficiency of any enterprise depends on many factors, one of which is а quality management. The overall economic performance of the company largely depends on the efficiency, timeliness and quality of decision-making. One of the tools helping to solve these problems is the wide use of mathematical apparatus, which provides the opportunity not only to perform the necessary calculations, but also to systematize, justify and simulate the behavior of an object in a particular production situation. According to the analysis of research and publications, relevance of the question of creation economico-mathematical model of optimization of the sizes of the raw material base of processing enterprises is very important, therefore, we propose to create a mathematical model that would allow taking into account various economic factors, to predict the processing plants profit, according to one or another managerial decision. The implementation of an appropriate model will enable the management to determine the optimum amount of acreage that will provide the company, according to technological opportunities and market capacity, necessary raw materials for production; ensure the quality and timeliness of management decision making, through a systematic approach to the consideration of the most important factors affecting the efficiency of production; reduce the time spent on calculations, provided that a matrix of tasks and the use of modern software products; can be used to predict and compare the possibility of obtaining the optimum financial and economic performance results when changing macro and micro economic factors, influencing on economic efficiency of production.","PeriodicalId":188754,"journal":{"name":"Modern problems of modeling","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modern problems of modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33842/2313-125X/2020/19/95/101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The use of economic-mathematical apparatus, through the mathematical model construction of optimization of the sizes of the raw material base of processing enterprises is lighted in the article. Economic efficiency of any enterprise depends on many factors, one of which is а quality management. The overall economic performance of the company largely depends on the efficiency, timeliness and quality of decision-making. One of the tools helping to solve these problems is the wide use of mathematical apparatus, which provides the opportunity not only to perform the necessary calculations, but also to systematize, justify and simulate the behavior of an object in a particular production situation. According to the analysis of research and publications, relevance of the question of creation economico-mathematical model of optimization of the sizes of the raw material base of processing enterprises is very important, therefore, we propose to create a mathematical model that would allow taking into account various economic factors, to predict the processing plants profit, according to one or another managerial decision. The implementation of an appropriate model will enable the management to determine the optimum amount of acreage that will provide the company, according to technological opportunities and market capacity, necessary raw materials for production; ensure the quality and timeliness of management decision making, through a systematic approach to the consideration of the most important factors affecting the efficiency of production; reduce the time spent on calculations, provided that a matrix of tasks and the use of modern software products; can be used to predict and compare the possibility of obtaining the optimum financial and economic performance results when changing macro and micro economic factors, influencing on economic efficiency of production.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
加工工厂经济系统管理中的建模
本文利用经济数学仪器,通过构建加工企业原料基地规模优化的数学模型。任何企业的经济效益取决于许多因素,质量管理是其中之一。公司的整体经济绩效在很大程度上取决于决策的效率、及时性和质量。帮助解决这些问题的工具之一是数学仪器的广泛使用,它不仅提供了执行必要计算的机会,而且还提供了在特定生产情况下对对象的行为进行系统化、合理化和模拟的机会。根据研究和出版物的分析,建立经济问题的相关性-加工企业原料基地规模优化的数学模型是非常重要的,因此,我们建议建立一个数学模型,允许考虑各种经济因素,预测加工厂的利润,根据一个或另一个管理决策。适当模型的实施将使管理层能够根据技术机会和市场容量确定为公司提供生产所需原材料的最佳种植面积;保证管理决策的质量和及时性,通过系统的方法来考虑影响生产效率的最重要因素;减少花在计算上的时间,提供一个矩阵的任务和使用现代软件产品;可以用来预测和比较在改变宏观和微观经济因素对生产经济效率的影响时,获得最优财务和经济效益结果的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
SYSTEM OF POLYPOINT TRANSFORMATIONS OF A GROUP OF OBJECTS IN ONE BASIS Minimization of integral risk of emergency on the example of Blyznyukivskyi district of Kharkiv region CREATION OF A DESIGN LAYOUT OF PAGES AND IDENTICS OF AN INTERNET COSMETICS STORE PROCEDURAL GENERATION OF VOXEL LANDSCAPES BASED ON ISOSURFACES USING MULTITHREADING GENERALIZED APPROACH FOR OBJECT SELECTIVE SEARCH IN IMAGES
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1