Development and Instrumentation of a Framework for the Generation and Management of Self-Adaptive Enterprise Applications

Arboleda, Hugo; Paz, Andrés; Jiménez, Miguel; Tamura, Gabriel

doi:10.11144/javeriana.iyu20-2.difg

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…The data mentioned here includes not only the order, inventory, transaction accounts, customers, and suppliers of the internal business system of the enterprise but also various other external data of the enterprise's environment. DSS inputs the factors that the computer cannot handle into the computer through a large number of repeated and frequent man-machine dialogues and inspects the discovered knowledge from different angles [27]. And express it in different forms, and express the requirements and results of data mining with high-level language and graphical interface, so as to regulate and influence the decision-making process.…”

Section: Methodsmentioning

confidence: 99%

Intelligent Decision-Making Model of Enterprise Management Based on Random Forest Algorithm

Huang

2022

Mobile Information Systems

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With the sustained and rapid development of China’s economy, the business environment of enterprises is becoming more and more complicated. Coupled with the increasing international competitive pressure of enterprises, the management of enterprises needs more attention. The emergence of DSS provides an opportunity for enterprise management intelligent decision-making. Based on the in-depth study of RF algorithm, this paper proposes a new intelligent decision-making model for enterprise management, aiming at the shortcomings of traditional decision-making systems. In this paper, the decision-making process of the system for decision support is given. Through the quantification and evaluation of various data by subsystems, the best decision-making scheme with strong operability is provided for enterprises. And this model can effectively solve the problem of heterogeneity, duplication and clutter of data in traditional database, and avoid the loss of historical data. Through simulation, the accuracy of this system can reach 96%, which is about 17% higher than other systems. It has certain practicability and feasibility. It is hoped that the research in this paper will play an important role and service support for enterprise intelligent decision-making and further promote the development of intelligent enterprise management decision-making system in China.

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Section: Methodsmentioning

confidence: 99%

Intelligent Decision-Making Model of Enterprise Management Based on Random Forest Algorithm

Huang

2022

Mobile Information Systems

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“…Scientists have analyzed the hierarchical structure and characteristics of complex systems of production enterprises, and the adaptive management system developed by them is necessary for self-organization control. Scientists Arboleda et al [6] developed a toolkit for creating and managing self-adaptive corporate applications, which provides tools and mechanisms for managing self-adaptive enterprise applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Adaptive Management of Economic Security of Enterprises in the Context of Globalization Challenges and Sustainable Development

Tytykalo¹,

Kovalenko²,

Pohrebniak³

et al. 2023

IJSDP

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The relevance of the study is due to the aggravation of changes in external environment that affect economic security of business entities and require the increase in their economic security in the context of globalization challenges and sustainable development. The purpose of the study is to develop principles of assessing adaptive management of economic security of enterprises in the context of globalization challenges and sustainable development. The methodological basis of the research is the structural-functional approach, which makes it possible to consider economic security as a certain system, take into account adaptive behavior of enterprises considering the specifics of their activities, conduct a full and detailed analysis of adaptive management of economic security of enterprises, and ensure the segmentation of economic security by functional areas of its activity, as well as identifying critical security points of the enterprise's functioning. The authors suggested using taxonomic analysis to assess the adaptive management of the enterprises' economic security. The peculiarity of this proposed methodical approach is the establishment of the quality of the influence of analytical features on economic security based on the determination of the Euclidean distance between the standardized values of analytical features and the value of the reference vector and the calculation of the integral indicator of the assessment of the adaptive management of the enterprise' economic security. Approbation of the proposed approach was in relation to the functioning enterprise on the territory of Ukraine, Eurotrading LLC, which carries out production activities. The calculations and taxonomic analysis were based on the actual values of the analytical assessment of the financial, intellectual, personnel and production components of the enterprise's economic security for five years. The results of the application of the proposed methodological approach made it possible to determine the largest root mean square deviation of analytical features, including the duration of accounts payable turnover and the turnover ratio of fixed assets. This made it possible to propose directions of adaptive management to increase the enterprise' economic security in the context of globalization challenges and sustainable development.

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“…Within the scope of the article (Arboleda Hugo et al, 2016), the authors have developed a structure that provides means and mechanisms for managing self-adaptive corporate applications using an autonomous infrastructure and automated creation of selfadaptive corporate applications and their corresponding monitoring infrastructure.…”

Section: Literature Reviewmentioning

confidence: 99%

Formation of the Adaptive Management System for the Economic Security of Enterprises in the COVID-19 Context

Ареф’єва

Tytykalo

Kalyniuk

et al. 2023

RDLUZ

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The relevance of this scientific research is justified by the increased attention that the economic community pays to economic security, for the development of microeconomic systems in modern conditions of uncertainty, caused by global challenges, as a result of the COVID-19 pandemic. The purpose of the study is to identify the principles of the formation of an adaptive management system of economic security of enterprises in the conditions of the COVID-19 pandemic. The authors founded the methodological basis for the formation of the adaptive management system of the economic security of companies, based on the identification of the systemic approach and specific principles of compliance, duality and feedback, as well as the functions of adaptive management. The conducted research makes possible to generalize that the formation of a system of adaptive management of the economic security of enterprises in the COVID-19 conditions is a special type of management activity, which involves the use of a wide range of measures and tools for making effective management decisions, which are characterized by timeliness, flexibility, creativity and innovation.

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Development and Instrumentation of a Framework for the Generation and Management of Self-Adaptive Enterprise Applications

Cited by 7 publications

References 23 publications

Intelligent Decision-Making Model of Enterprise Management Based on Random Forest Algorithm

Intelligent Decision-Making Model of Enterprise Management Based on Random Forest Algorithm

Assessment of Adaptive Management of Economic Security of Enterprises in the Context of Globalization Challenges and Sustainable Development

Formation of the Adaptive Management System for the Economic Security of Enterprises in the COVID-19 Context

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