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A software based Resource Selection Process in Competitive Network Environment using ANOVA (A Case Study)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 41 - Number 12 |
| Year of Publication: 2012 |
| Authors: S. Vaitheeswaran, S. Santhosh, B. Vijaya Ramnath |
10.5120/5593-7838
|
S. Vaitheeswaran, S. Santhosh, B. Vijaya Ramnath . A software based Resource Selection Process in Competitive Network Environment using ANOVA (A Case Study). International Journal of Computer Applications. 41, 12 ( March 2012), 17-21. DOI=10.5120/5593-7838
Abstract
The trend of the today's competitive manufacturing scenario has completely changed from quantity oriented to quality oriented products with minimum cost. At this juncture, several industries are now aiming in producing low cost products without compromising the quality. This paper evaluates the influence of type of lathe on the 'productivity' during the selection of a suitable brand of machine tool from a group of three brands for a leading manufacturing industry. For selecting the Machine tool, a real time study has been undertaken in the industry and the data were acquired. Other factors which were likely to affect the productivity of the lathe like tool type and skill of the operator were also included in the study as per the industry's specifications. From the data acquired a Latin square design was designed to determine the suitability of the three brands of lathe. A software package using Visual Basic has been developed to carry out ANOVA calculations. The ANOVA results showed that the there was no significant difference in the productivity. This means that the industry can go forward for buying the cheapest machine thereby they are economically benefitted.
References
- Mingers. J and Harzing. A, 2007. Ranking journals in business and management: a statistical analysis of the Harzing data set, European Journal of Information Systems, 4(16), 303–316.
- Houcem Eddine Mechri, Alfonso Capozzoli and Vincenzo Corrado, 2010. Use of the ANOVA approach for sensitive building energy design, Applied Energy, 87, 3073–3083.
- Trabelsi, A. and Rezgui M. , 2010. A multifactor ANOVA study for trainees performance measurement subjected to CADCAM and CAD courses, International Journal of Vocational and Technical Education, 2(3), 41 –54.
- Bharathi, A. and Natarajan, A. M. 2010. Cancer Classification of Bioinformatics data using ANOVA, International journal of computer theory and engineering, 2 (3), 369-373.
- Graham, A. L. et al. , 2010 "Improving responses to depression and related disorders: evaluation of a innovative, general, mental health care workers training program", International Journal of Mental Health Systems, Vol. 4.
- Vendômois, J. and Roullier, F. , 2009. "A Comparison of the Effects of Three GM Corn Varieties on Mammalian Health", International Journal on Biological Sciences, 5, 706-726.
- Samuel, T. V. , 2011. "Proxidant and antioxidant status in type 2 diabetes with relation to its duration", International Journal of Pharma and Bio Sciences, 2(2), B-386-391.
- Beccacece, F. and Borgonovo, E. , 2011. "Functional ANOVA, ultramodularity and monotonicity: Applications in multiattribute utility theory", European Journal of Operational Research, 210, 326–335.
- Bertaccini, B. and Varriale, R. 2007. "Robust Analysis Of VAriance: An approach based on the Forward Search", Computational Statistics & Data Analysis, 51, 5172 – 5183.
- Gönder, . Z. B. , Arayici, S. and Barlas, H. , 2011. Advanced treatment of pulp and paper mill wastewater by nanofiltration process: Effects of operating conditions on membrane fouling, Separation and Purification Technology, 76, 292–302.
- Reynolds J. F. , 1995. Estimating missing observations in ANOVA, International Journal of Mathematical Education in Science and Technology, 26(6), 895-901.
- Jin-Ting Zhang. 2012. An approximate degrees of freedom test for heteroscedastic two-way ANOVA, Journal of Statistical Planning and Inference, 142(1), 336-346.
- D. Jouan-Rimbaud Bouveresse et al. 2011. Identification of significant factors by an extension of ANOVA–PCA based on multi-block analysis, Chemometrics and Intelligent Laboratory Systems, 106(2), 173-182
- Harish C. Rajput et al. 2011. Including time dependency and ANOVA in decision-making using the revised fuzzy AHP: A case study on wafer fabrication process selection, Applied Soft Computing, 11(8), 5099-5109.
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