2011 International Conference on Management Science &Amp; Engineering 18th Annual Conference Proceedings 2011
DOI: 10.1109/icmse.2011.6070018
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The application of factor cluster composite analysis in market segmentation research

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“…As shown in Table 3, the ore blends for six sinter mixtures were obtained using a linear programming model. 22) In this model, the constraints from industrial requirements were: (1) for chemical compositions, SiO 2 varied from 3.40% to 4.20%, Al 2 O 3 varied from 1.30% to 1.70% and TFe varied from 59% to 62%; (2) for material components, the proportion of Ore-PIB was fixed at 20.00%, the content of Brazilian hematite iron ores (the total content of Ore-A to Ore-C) varied from 30% to 40% and the content of Australian limonite ores (the total content of Ore-D to Ore-G) varied from 40% to 50%.…”
Section: Materials Usedmentioning
confidence: 99%
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“…As shown in Table 3, the ore blends for six sinter mixtures were obtained using a linear programming model. 22) In this model, the constraints from industrial requirements were: (1) for chemical compositions, SiO 2 varied from 3.40% to 4.20%, Al 2 O 3 varied from 1.30% to 1.70% and TFe varied from 59% to 62%; (2) for material components, the proportion of Ore-PIB was fixed at 20.00%, the content of Brazilian hematite iron ores (the total content of Ore-A to Ore-C) varied from 30% to 40% and the content of Australian limonite ores (the total content of Ore-D to Ore-G) varied from 40% to 50%.…”
Section: Materials Usedmentioning
confidence: 99%
“…This indicated that: (1) the PSD(raw) of this sinter mixture is fractal. (2) With these fractal models, the optimization of sintering blending 22) can be conducted from the perspective of size grading. Since the two models showed little difference in simulating the PSD of this mixture, the SF-model given by Eq.…”
Section: Particle Sizes and Its Characterizationmentioning
confidence: 99%