A process of project quality improvement

Ilić, Ivana; Veličković, Milica

doi:10.2298/fil1906833i

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…This can be performed by extrapolating and interpolating experimental measurements [18,19]. One of possible procedure is a using of neural networks [20]. From now on, apply of a back propagation neural network solving this problem, is presented.…”

Section: Advantages Of the Anns Based Approachmentioning

confidence: 99%

Sintering temperature influence on grains function distribution by neural network application

et al. 2022

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Artificial neural networks application in science and techonology has begun during twentieth century. This biophysical and biomimetic phenomena is based on extensive research which have led to understanding how neural as a living organism nerve system basic element processes signals by a simple algorithm; the input signals are massively parallel processed, and the output presents the superposition of all parallel processed signals. Artifical neural networks which are based on these principles are useful for solving various problems as pattern recognition, clustering, functional optimization. This research analyzed termophysical parameters at samples based on Murata powders and consolidated by sintering process. Among different physical properties we applied out neural network approach on grain sizes distribution as a function of sintering temperature (T), (from 1190-1370?C). In this paper, we continue to apply neural networks to prognose structural and thermophysical parameters. For consolidation sintering process is very important to prognoze and design many parameters but especially thermal like temperature, to avoid long and even wrong experiments which are waisting the time and materials and energy as well. By this ANN method we indeed provide the most efficient procedure in projecting the mentioned parameters and provide successful ceremics samples production. This is very helpful in prediction and designing the microstructure parameters important for advance microelectronic further miniturisation development. This is a quite original novelty for real microstructure projecting especially on the phenomena within the thin films coating around the grains what opens new prospectives in advance fractal microelectronics.

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Section: Advantages Of the Anns Based Approachmentioning

confidence: 99%

Sintering temperature influence on grains function distribution by neural network application

et al. 2022

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Uncovering the hidden gem: The role of the undervalued quality in projects

Erdei,

Sebestyén,

Alfreahat

2024

Organization, Technology and Management in Construction: An International Journal

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In project management, the conventional focus on time and cost often overshadows quality’s undervalued, yet pivotal role. This study explores the nuanced dimensions of project success, centering on the Iron Triangle components: time, cost and quality (TCQ). Although quality is acknowledged in theoretical definitions, its economic significance and precise impact remain underexplored. This research addresses this gap by scrutinising the interplay between traditional success factors and project economic outcomes. By comparing projects with and without economic benefits, the study examines potential variations in TCQ influence. Furthermore, the research identifies specific traditional success factors associated with economic benefits and probes for a dominant factor with superior impact. A novel Project Unified Index (PUI) is introduced, enabling comprehensive economic performance assessment through TCQ analysis and statistical techniques. Intriguingly, the exploratory analysis reveals that time and quality possess more significant influence despite the apparent correlation between cost and profit. Quality emerges as a potential determinant, its significance often masked by meticulous measurement. This study underscores the paramount importance of quality, necessitating its redefinition across industries in a customer-centric manner. By repositioning quality as a decisive factor, this research reshapes perspectives on project management, steering future investigations towards a comprehensive understanding of quality’s pivotal role. The data for analysis were collected with the participation of a prominent professional project management association and a business master’s program in Hungary.

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A process of project quality improvement

Cited by 2 publications

References 6 publications

Sintering temperature influence on grains function distribution by neural network application

Sintering temperature influence on grains function distribution by neural network application

Uncovering the hidden gem: The role of the undervalued quality in projects

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