The Methodology and Mathematical Tools to Assess and Mitigate the Risk of Creating High-Tech Products

Batkovskiy, Aleksandr Mikhaylovich; Семенова, Е. Г.; Фомина, А. В.; Khrustalev, Evgenii Iurevich; Khrustalev, O. E.

doi:10.17485/ijst/2016/v9i28/97659

Cited by 4 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the case is somewhat different in practice. The Generation 1 casting technologies used at an early stage of development of the casting technology involved a simplified conceptual model of the technology, whereby controlled process parameters were considered as purely deterministic values [5,6].…”

Section: Analysis Of Literature Sources Purpose and Objectivesmentioning

confidence: 99%

Robust methods for controlling casting processes and the quality of castings

Ponomarenko,

Yevtushenko,

Yevtushenko

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The paper considers the ways of controlling the processes of producing good-quality castings by using robust methods based on the identification of objects under uncertainty, adaptive control methods, stabilization methods for automatic control systems and their mathematical description. The purpose of the paper is to practically elaborate on the task of creating robust technologies for casting based on the study of the stochastic dispersion models of the casting process parameters and to develop a method for stabilizing the casting processes and a method for stabilizing the quality parameters of the castings. The regular patterns of the stochastic dispersion of the casting process parameters were investigated based on the mechanical performance of the casting alloys, their chemical composition, the physical and mechanical properties of the molding mixtures, the dimensions of the castings, and the features of the casting production process such as pouring temperature, element loss during melting and mold hardness. The results of the conducted investigations have shown that to describe the stochastic dispersion of the casting process parameters, it is appropriate to use the Johnson system of distributions. A method for stabilizing the casting quality parameters was developed. It has been shown that it is more efficient to stabilize the strength and improve the dimensional accuracy of the casting simultaneously. With the existing production process, the dimensional accuracy of the casting corresponds to Grade 11 according to GOST 26645-85. With the increase of the dimensional accuracy grade, the metal content of the casting can be reduced by 16.3% after reaching Grade 10, by 20.4% after reaching Grade 9, and by 24.2% after reaching Grade 8.

show abstract

Section: Analysis Of Literature Sources Purpose and Objectivesmentioning

confidence: 99%

Robust methods for controlling casting processes and the quality of castings

Ponomarenko,

Yevtushenko,

Yevtushenko

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Отмеченные обстоятельства определяют важность оценки НИОКР с целью совершенствования методики расчета их цены, так как ценовой фактор играет определяющую роль в стимулировании любой деятельности [33]. Существуют различные подходы к решению данной задачи, но большинство из них в недостаточной степени учитывают специфику рассматриваемых НИОКР [34]. Поэтому в статье предложены алгоритмы оптимизации процедур оценки НИОКР и прогнозирования ее цены в сложных экономических условиях, которые учитывают данную специфику и особенности деятельности научных организаций и конструкторских бюро в настоящее время.…”

Section: выводыunclassified

Evaluation of scientific research and development works providing diversification of production

Batkovskiy¹,

Batkovskiy²,

Хрусталев³

2021

APEL

View full text Add to dashboard Cite

Научная новизна: на основе анализа общих закономерностей теории менеджмента проанализирована и уточнена система критериев оценки научно-исследовательских и опытно-конструкторских работ, выполняемых научными организациями и конструкторскими бюро в интересах выполнения программ диверсификации производства на предприятиях оборонно-промышленного комплекса. На базе сформулированных методологических основ, учитывающих специфику ценообразования на результаты научно-исследовательских и опытно-конструкторских работ, проводимых в интересах обеспечения национальной безопасности, разработаны предложения по развитию методов экономической оценки данных работ и инструментарий прогнозирования их цены. Практическая значимость: результаты исследования могут служить основой для разработки и корректировки планов выполнения научных работ, осуществляемых с целью обеспечения процесса диверсификации производства на предприятиях оборонно-промышленного комплекса.Ключевые слова: экономика и управление народным хозяйством; цена; научно-исследовательские и опытноконструкторские работы; диверсификация; продукция; оценка; эффективность Благодарность: исследование выполнено при финансовой поддержке РНФ в рамках научного проекта № 21-78-20001. Конфликт интересов: авторами не заявлен.Статья находится в открытом доступе в соответствии с Creative Commons Attribution Non-Commercial License (http://creativecommons. org/licenses/by-nc/4.0/), предусматривающем некоммерческое использование, распространение и воспроизводство на любом носителе при условии упоминания оригинала статьи.

show abstract

“…Decision making with uncertain quality is a living optimization problem both in the field of production like automotive industry (Ouisse & Cogan, 2010), food processing (Curt et al, 2007), petrochemical industry (Moradi-Aliabadi & Huang, 2016), TV panel manufacturing (Tang & Hsu, 2015) and creating of high-tech/high-value products (Batkovskiy et al, 2016) and services (Jiang & Seidmann, 2014;Drejeriene & Drejeris, 2017). The economics of decisions includes other special application fields, like evaluation of the factors determining risk of growing current account deficit (Garšviene & Cibulskiene, 2017) or the modelling of financial market volatility (Chin et al, 2016).…”

Section: Figure 3 Classification Of Articles Considering the Used Kementioning

confidence: 99%

Economic aspects of decision making in production processes with uncertain component quality

Bányai

2019

View full text Add to dashboard Cite

Production and service processes always introduce discrepancies between real and expected parameters. Accurate modelling of uncertainties in manufacturing processes has great impact on logistics related factors. In this representation, instead of a deterministic analysis of manufacturing processes with uncertain quality of components, decision making is described with stochastic decision trees. The objective of this work is to show how to include the uncertain quality of components into the optimization of manufacturing processes. This paper proposes a new decision tree model with stochastic parameters that can determine the optimal operations depending on the quality of components to be assembled. After a careful literature review, this paper introduces a model to formulate the problem of decision making in manufacturing and assembly processes depending on the quality of produced batches of components. The model seeks the optimal pre-assembly operation, like testing or repairing while taking into account specific costs, prior and posterior probabilities and likelihoods. Next, we demonstrate an enhanced stochastic decision tree with cumulative hypergeometric probability distributions to find the minimum of expected cost based objective function. Numerical results demonstrate how the proposed model supports the decision making process and increase the efficiency, flexibility and reliability of the manufacturing process.

show abstract

The Methodology and Mathematical Tools to Assess and Mitigate the Risk of Creating High-Tech Products

Cited by 4 publications

References 7 publications

Robust methods for controlling casting processes and the quality of castings

Robust methods for controlling casting processes and the quality of castings

Evaluation of scientific research and development works providing diversification of production

Economic aspects of decision making in production processes with uncertain component quality

Contact Info

Product

Resources

About