ABC analysis using Particle Swarm Optimization and its performance evaluation with other models

Selvaraju, Kathirvel; Murugesan, Punniyamoorthy

doi:10.1108/bij-11-2020-0594

Cited by 4 publications

(2 citation statements)

References 51 publications

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“…Developed by Kennedy and Eberhart (1995), PSO is driven by principles of swarm intelligence. It is a population-based searching algorithm used to solve NP-Complete problems (Selvaraju and Murugesan, 2021). Contrary to evolutionary computing-based approaches, PSO allows candidates in the population to interact while traversing the search space to reach the near-optimal solution at an affordable computational expense.…”

Section: Research Methodology and Data Descriptionmentioning

confidence: 99%

New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks

Ghosh

Jana²,

Pramanik³

2022

BIJ

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PurposeIt is essential to validate whether a nation's economic strength always transpires into new business capacity. The present research strives to identify the key indicators to the proxy new business ecosystem of countries and critically evaluate the similarity through the lens of advanced Fuzzy Clustering Frameworks over the years.Design/methodology/approachThe authors use Fuzzy C Means, Type 2 Fuzzy C Means, Fuzzy Possibilistic C Means and Fuzzy Possibilistic Product Partition C Means Clustering algorithm to discover the inherent groupings of the considered countries in terms of intricate patterns of geospatial new business capacity during 2015–2018. Additionally, the authors propose a Particle Swarm Optimization driven Gradient Boosting Regression methodology to measure the influence of the underlying indicators for the overall surge in new business.FindingsThe Fuzzy Clustering frameworks suggest the existence of two clusters of nations across the years. Several developing countries have emerged to cater praiseworthy state of the new business ecosystem. The ease of running a business has appeared to be the most influential feature that governs the overall New Business Density.Practical implicationsIt is of paramount practical importance to conduct a periodic review of nations' overall new business ecosystem to draw action plans to emphasize and augment the key enablers linked to new business growth. Countries found to lack new business capacity despite enjoying adequate economic strength can focus effectively on weaker dimensions.Originality/valueThe research proposes a robust systematic framework for new business capacity across different economies, indicating that economic strength does not necessarily transpire to equivalent new business capacity.

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Section: Research Methodology and Data Descriptionmentioning

confidence: 99%

New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks

Ghosh

Jana²,

Pramanik³

2022

BIJ

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“…One of the effective tools for grouping economic objects of research is the methods of ABC [46] and XYZ analysis [2]. Its name comes from two main components: ABC analysis, which is used to classify economic objects according to importance (profitability) [28], and XYZ analysis, which is used to classify economic objects according to the predicted stability of demand [45].…”

Section: Literature Reviewmentioning

confidence: 99%

Grouping of Eu Countries According to the Level of Economic Development and Stability of Economic Processes Based on Abc-Xyz-Analysis

Yaremko,

Matviiv-Lozynska,

Barabash

et al. 2023

ФКДПТП

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The study of economic development and the stability of economic processes of countries is a critically important task, as it helps to understand and analyze the processes taking place in the economic systems of countries. Countries differ significantly in terms of economic development, and their grouping according to certain parameters helps to better understand the general picture of the economic state of the country. The article proposes to group EU countries according to the level of economic development and the level of the economic processes’ stability based on GDP and GDP per capita indicators using ABC and XYZ analysis. The study was conducted on the basis of the countries of the European Union (EU) for the period 2015-2022 since the EU is a large regional association of countries with common economic, political and social goals. The statistical data of the World Bank served as the information base. The existence of discrepancies for countries between the level of GDP and the level of GDP per capita was revealed. Ukraine was also ranked according to the level of economic development and the level of the economic processes’ stability based on GDP and GDP per capita indicators since this country is a candidate for EU membership in 2022. The results of the study will help to understand the mosaic of the economic situation in different EU countries and highlight key conclusions for further research or decision-making. This information can be useful for understanding the main trends in the economy of the European region, identifying possible areas for cooperation and investment, as well as for developing strategies to improve development and stability in each of the EU countries.

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ABC Inventory Control System Based on an Office Automation Tool

Naranjo-Mantilla

Cervera

Tenesaca

2022

Communications in Computer and Information Science

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ABC analysis using Particle Swarm Optimization and its performance evaluation with other models

Cited by 4 publications

References 51 publications

New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks

New business capacity of developed, developing and least developing economies: inspection through state-of-the-art fuzzy clustering and PSO-GBR frameworks

Grouping of Eu Countries According to the Level of Economic Development and Stability of Economic Processes Based on Abc-Xyz-Analysis

ABC Inventory Control System Based on an Office Automation Tool

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