Costs Function Optimization For Prevention Of Firm’s Industrial Risks With Regard To Reinvestment Of Profit

Q3 Engineering
E. P. Rostova, M. Geras'kin
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引用次数: 0

Abstract

We consider the problem of the firm’s cost function optimization to prevent the industrial risks (i.e., the voluntary risk costs), by the criterion of the total costs with regard to a reinvestment of the firm’s profit. In the paper the voluntary risk costs function of the firm in the perfect competition by the total costs criterion is optimized. The rational strategy of the firm’s risk management consists in a gradual increase of the costs to prevent the risk situations with the production volume growth. The voluntary risk costs function is determined for the power function of the production costs and the exponential decreasing function of the industrial damage for the firm in the perfect competition.
从利润再投资看企业产业风险防范的成本函数优化
我们通过企业利润再投资的总成本标准来考虑企业的成本函数优化问题,以防止行业风险(即自愿风险成本)。本文采用总成本准则对完全竞争中企业的自愿风险成本函数进行了优化。企业风险管理的合理策略是随着产量的增长,逐步增加成本,以防止出现风险情况。自愿风险成本函数是针对完全竞争中企业的生产成本的幂函数和产业损害的指数递减函数确定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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