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Narayana Rao, K.
- Contribution to the Flora of Tirupati Hills-part III
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Indian Forester, Vol 97, No 2 (1971), Pagination: 89-100Abstract
Present contribution enumerates 382 species and 1 variety of vascular plants belong ing to 92 families collected from the Tirupati Hills and neighbourhood, inclusive of six new records for the Deccan region. With this, a total of 1180 taxa belonging to 156 famalies of vascular plants are known from the Tirupati Hills and neighbourhood. Of these 986 are Dicotyledones, 155 are Monocotyledones, 2 are Gymnosperms and 37 are Pteridophytes. Among the 156 families, Lamiaceae (Papilionaceae) and Poaceae (Gramineae) are well represented with 103 and 72 species respectively, followed closely by Euphorbiaceae, Asteracene (Compositae) and Acanthaceae with 62, 60 and 56 species respectively. Telugu names locally used are given to most taxa.
- Supplier Evaluation through Data Envelopment Analysis
Abstract Views :480 |
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Authors
Affiliations
1 Department of Mechanical Engineering, Wellfare Institute of Science, Technology and Management, Visakhapatnam, A.P, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, A.P, IN
3 Sathavahana Ispat Ltd., Bellary, Karnataka, IN
4 Department of Mechanical Engineering, Govt. Polytechnic, Visakhapatnam, A.P, IN
1 Department of Mechanical Engineering, Wellfare Institute of Science, Technology and Management, Visakhapatnam, A.P, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, A.P, IN
3 Sathavahana Ispat Ltd., Bellary, Karnataka, IN
4 Department of Mechanical Engineering, Govt. Polytechnic, Visakhapatnam, A.P, IN
Source
Journal of Supply Chain Management Systems, Vol 1, No 2 (2012), Pagination: 1-11Abstract
In this paper, a methodology is proposed for evaluating the efficiency and performance of the suppliers through Data Envelopment Analysis (DEA) technique. DEA is a multifactor productivity technique to measure the relative efficiency of the decision making units. Super Efficiency and Cross Efficiency methods are employed in this work to determine the efficiencies and the performance scores of the suppliers respectively. A numerical illustration is presented to demonstrate the proposed methodology. Twenty three suppliers are considered in the study. Each supplier has six inputs and five outputs. On the basis of super efficiency and cross efficiency scores, the suppliers are classified into different clusters. The suppliers' performance-efficiency score grid is developed, which helps the management to take effective decision in the selection of the suppliers of a company.Keywords
Supplier Evaluation, Data Envelopment Analysis, Super Efficiency, Cross EfficiencyReferences
- Elanchezhian, C., Ramnath, B.V. & Kesavan. R. (2010), Vendor Selection using Analytical Hierarchy Process in Supply chain management, Journal of Engineering Research and Studies, 1(1), 118-127.
- Elanchezhian, C., Ramnath, B.V. & Kesavan, R. (2010), Vendor Evaluation using multi criteria decision making technique, International Journal of Computer Applications, 5(9), 4-9.
- Handfield, R., Walton, S.V., Sroufe, R & Melnyk, S.A. (2002), Applying environmental criteria to supplier assessment: A study in the application of the Analytic Hierarchy Process, European Journal of Operation Research, 141(1), 70-87.
- Ho, W., Xu, X. & Dey, P, (2010), Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research, 202(1), 16-24.
- Malekmohammadi, N., Lotfi, F.H. 7 Jaafar, A.B. (2011), Data envelopment scenario analysis with imprecise data, Central European Journal of Operations Research, 19(1), 65-79.
- Narasimhan, R & Srinivas, T. (2001), Supplier Evaluation and Rationalization via Data Envelopment Analysis: An empirical examination, The Journal of Supply Chain Management, 37(3), 28-37.
- Nydic, R.L & Hill, R.P. (1992), Using Analytic Hierarchy Process to structure the supplier selection procedure, International Journal of Purchasing and Materials Management, 28(2),31-36.
- Petroni, A. & Braglia, M. (2000), Vendor selection using Principal component analysis, Journal of Supply Chain Management, 36(2), 63- 69.
- Sepehrdoust, H. (2011), Efficiency measurement of housing sector using DEA model, International Conference on Economics and Finance Research, Singapore, 4, 325-329.
- Srinivas, T. & Narasimhan, R. (2004), A methodology for strategic sourcing, European Journal of Operational Research, 154 (1), 236- 250.
- Tam, M.C.Y & Tummala, V.M.R. (2001), An application of the AHP in vendor selection of telecommunications system, Omega, 29(2), 171-182.
- Timmerman, E. (1986), An approach to vendor performance evaluation, Journal of Supply Chain management, 22(4), 2-8.
- Soil Potassium Dynamics under Intensive Rice Cropping in Tbp Command Area of North Karnataka
Abstract Views :822 |
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Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Raichur (KARNATAKA), IN
2 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA)
3 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA), IN
1 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Raichur (KARNATAKA), IN
2 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA)
3 Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, Dharwad (KARNATAKA), IN
Source
An Asian Journal of Soil Science, Vol 8, No 2 (2013), Pagination: 319-324Abstract
No abstractKeywords
Correlations, Cropping Sequence, Dynamic Equilibrium, Forms of Potassium, PaddyReferences
- Amiri, R. and Dordoi, M.S. (1997). Potassium forms and clay mineralogy of some paddy soils in Northern Iran. J. Pot. Res., 13(1): 1-11.
- Anonymous (2009). Statistical Abstract of Karnataka, Directorate of Economics and Statistics, BANGALORE (KARNATAKA) INDIA. Black, C. A. (1965). Methods of soil analysis. Part II Chemical and microbiological properties. American Soc. Agron., Inc. Madison, USA.
- Hebsur, N.S. (1997). Studies on chemistry of potassium in sugarcane soils of North Karnataka. Ph.D. Thesis, University of Agricultural Sciences, DHARWAD, KARNATAKA (INDIA).
- Hegde, D.M. and Sudhakar Babu, S.N. (2001). Nutrient mining in agroclimatic zones of Karnataka. Fert. News, 46(7) : 55-72.
- Gali, S.K. (1998). Studies on potassium dynamics in rice soils of different agro climatic zones of Karnataka. Ph.D. Thesis, University of Agricultural Sciences, DHARWAD, KARNATAKA (INDIA).
- Jackson, M.L. (1973). Soil chemical analysis. Prentice Hall (India) Pvt. Ltd., NEW DELHI (INDIA).
- Kadrekar, S.B. (1976). Soils of Maharashtra State with reference to the forms and behavior of potassium. Bull. Indian Soc. Soil Sci., 10 : 33-37.
- Knudsen, D. Peterson, G.J., and Pratt, P.F. (1982). Lithium, sodium and potassium. In: Method of soil analysis part II. Chemical and microbiological properties. Ed. Page, A.L., American Society of Agronomy, Inc., Soil Science Society of America. Inc., Madison, Wiscosin, USA.
- Lim, C.H. and Jackson, M.L. (1982). Dissolution for total chemical analysis In: Method of soil analysis part II Chemical and microbiological properties. Ed. Page, A.L., American Society of Agronomy, Inc., Soil Sci. Soc. Am. Inc Madison, USA.
- Mac Lean, A.J. (1961). Potassium supplying power of some Canadian soils. Canadian J. Soil Sci., 41 : 196-197.
- Patil, Y.M. and Sonar, K.R. (1993). Dynamics of potassium in swell-shrink soils of Maharastra. J. Pot. Res., 9(4): 315-324. Patel, M.S., Patil, R.G. and Sutaria, G.S. (1986). Potassium supplying power of medium black calcareous soils of Western Gujarat. J. Pot. Res., 2 : 113-117.
- Pharande, A.L. and Sonar, K.R. (1996). Depth wise distribution of different forms of potassium in important vertisol soil series of Maharashtra. J. Indian Soc. Soil Sci., 12(2): 127-134.
- Piper, C.S. (1966). Soil and plant analysis. Hans Publishers Bombay. Ranganathan, A. and Sathynarayana, T. (1980). Studies on potassium ststus of soils of Karnataka. J. Indian Soc. Soil Sci., 28: 148-153.
- Raskar, B.N. and Pharande, A.L. (1997). Different forms of potassium and their distribution in some important soil series of Vertisol and Alfisol of western Maharashtra. J. Pot. Res., 13(1): 21- 30.
- Singh, Y.P., Singh, M. and Singh, R. (1985). Forms of soil potassium in western part of Haryana. J. Indian Soc. Soil Sci., 33 : 284-291.
- Venkatesh, M.S. and Sathyanarayana, T. (1994). Status and distribution of potassium in vertisols of North Karnataka. J. Indian Soc. Soil Sci., 42 : 229-233.
- Supplier Selection Through Fuzzy Goal Programming (FGP)
Abstract Views :354 |
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Authors
Affiliations
1 Flash Forge Pvt Ltd., Visakhapatnam, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
3 Mechanical Engineering Department, Government Polytechnic, Visakhapatnam, IN
1 Flash Forge Pvt Ltd., Visakhapatnam, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
3 Mechanical Engineering Department, Government Polytechnic, Visakhapatnam, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 1, No 7 (2009), Pagination: 235-242Abstract
Industries are under intense pressure to find ways for producing goods at lower cost, lead time and at the same time with higher quality, reliability, performance and with other requirements, so as to survive/sustain their competitive position in their respective markets. As cost of components, sub-assemblies and raw materials constitute the main cost of the product, utmost focus is being laid to this major cost contributing factor. Due to consideration of many contradictory criteria, supplier selection is considered as a Multi Criteria Decision Making (MCDM) problem. Fuzzy Goal Programming (FGP) is one of the methods used for solving the MCDM problems. In this paper supplier selection ethodology through FGP is presented and the supplier selection criteria are formulated keeping the requirements of industries such as automobiles, ship building, aircraft making, heavy engineering, etc., in consideration.Keywords
Supplier Selection, Multi Criteria Decision Making, Supply Chain Management, Fuzzy Goal Programming.- Development of Total Quality Engineering Education Model Using QFD
Abstract Views :395 |
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Authors
Affiliations
1 Dept. of Mechanical Engg., Cramster Educational Services Pvt. Ltd. , Visakhaptnam, IN
2 Government Poly Technic, Vizianagaram, IN
3 Government Poly Technic, Bhimili, Visakhapatnam Dist, IN
4 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
1 Dept. of Mechanical Engg., Cramster Educational Services Pvt. Ltd. , Visakhaptnam, IN
2 Government Poly Technic, Vizianagaram, IN
3 Government Poly Technic, Bhimili, Visakhapatnam Dist, IN
4 Department of Mechanical Engineering, Andhra University, Visakhapatnam, IN
Source
Journal of Engineering Education Transformations, Vol 21, No 4 (2008), Pagination: 1-6Abstract
The development and socio-economic condition of a nation is determined by enhancing the quality in Engineering education. There is a greater need for high quality education to produce technically skilled and creative man-power in India.- Development of High Strength Filament Wound Composite Pressure Vessel with Variable Thickness
Abstract Views :333 |
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Authors
Affiliations
1 Dept. of Mechanical Engg., M V S R Engg. College, Hyderabad, IN
2 Defense Research & Development Organization, Hyderabad, IN
3 St. Peter’s College of Engineering, Hyderabad, IN
4 AICTE, New Delhi, IN
1 Dept. of Mechanical Engg., M V S R Engg. College, Hyderabad, IN
2 Defense Research & Development Organization, Hyderabad, IN
3 St. Peter’s College of Engineering, Hyderabad, IN
4 AICTE, New Delhi, IN