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Journal articles on the topic 'Selection process'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Solanki, Dr Ashvinkumar H. "Portfolio Selection Process through Markowitz Model." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 356–58. http://dx.doi.org/10.15373/2249555x/august2014/90.

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2

Jacobsen, M. Lyle. "The Selection Process." Journal of Investing 1, no. 2 (August 31, 1992): 64–66. http://dx.doi.org/10.3905/joi.1.2.64.

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3

Gennaro, Susan, and Juliann G. Sebastian. "Fellow selection process." Nursing Outlook 54, no. 5 (September 2006): 306–8. http://dx.doi.org/10.1016/j.outlook.2006.08.001.

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4

BHASKARAN, KUMAR. "Process plan selection." International Journal of Production Research 28, no. 8 (August 1990): 1527–39. http://dx.doi.org/10.1080/00207549008942810.

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5

Caldwell, Cam, Michael S. Beverage, and Patrick D. Converse. "Selecting for Flair Factors: Improving the Selection Process." Business and Management Research 7, no. 1 (January 16, 2018): 1. http://dx.doi.org/10.5430/bmr.v7n1p1.

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Purpose: This article examines the importance of selecting for “flair factors,” or those differentiating personal qualities that make the critical difference in achieving superior outcomes in modern organizations.Design/methodology/approach: Conceptual research about flair factors, key predictors of performance, and effective selection tools are reviewed and propositions related to improving the personnel selection process are developed.Findings: This review reveals six flair factors—grit, execution, general intelligence, emotional intelligence, personal integrity, and communication effectiveness—as well as three selection tools—structured interviews, situational assessment writing assignments, and assessment centers—that can improve the selection process.Originality/value: This article highlights the overlooked concept of flair factors in the selection process, identifies six factors that are vital for successful employee selection, suggests three tools to improve selection processes, and presents five propositions for practitioners and scholars.

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6

Moussa, Magdy, Yehia mostafa, and Ahmed Abou Elwafa. "School Site Selection Process." Procedia Environmental Sciences 37 (2017): 282–93. http://dx.doi.org/10.1016/j.proenv.2017.03.059.

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7

Larralde, Eduardo, and Rafael Ocampo. "Centrifugal pump selection process." World Pumps 2010, no. 2 (February 2010): 24–28. http://dx.doi.org/10.1016/s0262-1762(10)70029-8.

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8

Chivu, Catrina, Cătălin-Iulian Chivu, and Cristina Găvruş. "CADOProSys Software. Process selection." MATEC Web of Conferences 112 (2017): 06015. http://dx.doi.org/10.1051/matecconf/201711206015.

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9

Abbott, Alison. "Italians criticize selection process." Nature 361, no. 6411 (February 1993): 384. http://dx.doi.org/10.1038/361384b0.

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10

HEYE, MARY L., LILA E. JORDAN, JOYCE TAYLOR HARDEN, and MARY J. EDWARDS. "A TEXTBOOK SELECTION PROCESS." Nurse Educator 12, no. 1 (January 1987): 14–19. http://dx.doi.org/10.1097/00006223-198701000-00008.

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11

Holmes, Judy D., Margaree S. Crosby, and Michael J. Stahl. "The College Selection Process:." Journal of Marketing for Higher Education 2, no. 1 (August 7, 1989): 119–32. http://dx.doi.org/10.1300/j050v02n01_12.

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12

Dragoi, Viorel, and Eric Pabo. "Wafer Bonding Process Selection." ECS Transactions 33, no. 4 (December 17, 2019): 509–17. http://dx.doi.org/10.1149/1.3483542.

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13

Sharma, Vivek, and Arto Annila. "Natural process – Natural selection." Biophysical Chemistry 127, no. 1-2 (April 2007): 123–28. http://dx.doi.org/10.1016/j.bpc.2007.01.005.

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14

Anjard, Ronald P. "SPC chart selection process." Microelectronics Reliability 35, no. 11 (November 1995): 1445–47. http://dx.doi.org/10.1016/0026-2714(95)00119-m.

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15

Parvathi, K., S. Sujitha, and Allen steve. "Online Campus Selection Process." International Journal on Cybernetics & Informatics 10, no. 2 (May 31, 2021): 269–76. http://dx.doi.org/10.5121/ijci.2021.100230.

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The Present digital and technological era has facilitated the college campus recruitment process towards a manifestation of a vibrant shift in new systems of workforce engagements. The processes like gathering and compilation of information, filing of records, and all data related administrative work are done electronically, and therefore, paperwork is considerably diminished in the new model. Significantly, very less physical campus space is utilized for interview processes, and overall, consumes minimal time as compared with more traditional recruiting methods.And the super process excellence techniques is applied in the corporate with renewed focus on quality, even people recruiting has also been structured as a online flow system for steady results.

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16

Chan, F. T. S. "Interactive selection model for supplier selection process: an analytical hierarchy process approach." International Journal of Production Research 41, no. 15 (January 2003): 3549–79. http://dx.doi.org/10.1080/0020754031000138358.

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17

Vallier, Kevin. "Process Democracy." Journal of Moral Philosophy 17, no. 6 (July 6, 2020): 633–57. http://dx.doi.org/10.1163/17455243-20203026.

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Abstract Democratic theorists have proposed a number of competing justifications for democratic order, but no theory has achieved a consensus. While expecting consensus may be unrealistic, I nonetheless contend that we can make progress in justifying democratic order by applying competing democratic theories to different stages of the democratic process. In particular, I argue that the selection of political officials should be governed in accord with aggregative democracy. This process should prize widespread participation, political equality, and proper preference aggregation. I then argue that the selection of public policies by political officials should be governed in accord with deliberative democracy. This process should prize high quality deliberation and political equality. A process democracy is a democracy that joins an aggregative process for selecting officials with a deliberative process for selecting policies. Democracy is justified and legitimate when it is structured in this way.

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18

Wynn, V. "Selection and self: Selection as a social process." European Journal of Cognitive Psychology 11, no. 4 (December 1999): 385–402. http://dx.doi.org/10.1080/713752329.

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19

Herriot, Peter. "Selection and self: Selection as a social process." European Journal of Work and Organizational Psychology 11, no. 4 (December 2002): 385–402. http://dx.doi.org/10.1080/13594320244000256.

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20

Durão, Luiz Fernando C. S., Marly M. Carvalho, Silvia Takey, Paulo A. Cauchick-Miguel, and Eduardo Zancul. "Internet of Things process selection: AHP selection method." International Journal of Advanced Manufacturing Technology 99, no. 9-12 (September 10, 2018): 2623–34. http://dx.doi.org/10.1007/s00170-018-2617-2.

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21

Boc, Kamil, Dagmar Vidrikova, and Martina Blaskova. "Application of multicriterial method in decision process of staff selection." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 2 (March 22, 2017): 65–79. http://dx.doi.org/10.18844/gjhss.v3i2.1601.

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22

Robinson, A. Jebamalai, S. C. Punitha S. C. Punitha, and Dr P. Ranjit Jeba Thangaiah. "Hybrid Attribute Selection Process for Decision Tree Based Classification Algorithms." Indian Journal of Applied Research 1, no. 9 (October 1, 2011): 34–36. http://dx.doi.org/10.15373/2249555x/jun2012/14.

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23

Lovatt, A. M., and H. R. Shercliff. "Manufacturing process selection in engineering design. Part 1: the role of process selection." Materials & Design 19, no. 5-6 (December 1998): 205–15. http://dx.doi.org/10.1016/s0261-3069(98)00038-7.

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24

Dr. Prashant Bharge, Arunoday Jaju,. "Robotic Process Automation (RPA): Process prioritization using Cognitive Complexity matrix." Psychology and Education Journal 57, no. 9 (January 5, 2021): 6133–40. http://dx.doi.org/10.17762/pae.v57i9.2688.

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The process automation using robotic processes automation (RPA) has been witnessing an increasing trend of interest in recent days. However, when it comes to selection of processes for automation, among various factors process complexity is not given enough weightage. Also there are fewer researches regarding process selection and the factors impacting this decision. This research gives a methodology for selecting processes based on the complexity so that the organization can implement RPA with the optimum benefits. With this approach we can prioritize the processes in order to gain the maximum profit from the automation. This approach will also segregate the processes in which RPA automation will not result into significant amount of benefit

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25

Schripsema, Nienke R., Anke M. van Trigt, Susanna M. Lucieer, Anouk Wouters, Gerda Croiset, Axel P. N. Themmen, Jan C. C. Borleffs, and Janke Cohen-Schotanus. "Participation and selection effects of a voluntary selection process." Advances in Health Sciences Education 22, no. 2 (February 10, 2017): 463–76. http://dx.doi.org/10.1007/s10459-017-9762-5.

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26

Mançanares, Cauê G., Eduardo de S. Zancul, Juliana Cavalcante da Silva, and Paulo A. Cauchick Miguel. "Additive manufacturing process selection based on parts’ selection criteria." International Journal of Advanced Manufacturing Technology 80, no. 5-8 (April 12, 2015): 1007–14. http://dx.doi.org/10.1007/s00170-015-7092-4.

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27

CLARK, J. "Influencing associations' site-selection process." Cornell Hotel and Restaurant Administration Quarterly 36, no. 2 (April 1995): 5. http://dx.doi.org/10.1016/0010-8804(95)93845-l.

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28

O’Reilly, A. J. "Waste Water Treatment Process Selection." Process Safety and Environmental Protection 78, no. 6 (November 2000): 454–64. http://dx.doi.org/10.1205/095758200531005.

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29

Aulenbacher, Brigitte. "Selection in the Rationalization Process." International Journal of Political Economy 25, no. 4 (December 1995): 108–22. http://dx.doi.org/10.1080/08911916.1995.11643914.

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30

Albrecht, Susan A., Margaret L. McClure, Kelsey A. Buchanan, and Faye A. Gary. "The Fellow selection review process." Nursing Outlook 60, no. 3 (May 2012): 165–66. http://dx.doi.org/10.1016/j.outlook.2012.03.004.

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31

Allen, A. J., and K. G. Swift. "Manufacturing Process Selection and Costing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 204, no. 2 (May 1990): 143–48. http://dx.doi.org/10.1243/pime_proc_1990_204_057_02.

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32

Reich, Allen Z. "Improving the Strategy Selection Process." Journal of Hospitality & Leisure Marketing 7, no. 1 (January 2000): 75–102. http://dx.doi.org/10.1300/j150v07n01_06.

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33

Clark, J. Dana, and Ken W. McCleary. "Influencing Associations' Site-Selection Process." Cornell Hotel and Restaurant Administration Quarterly 36, no. 2 (April 1995): 61–68. http://dx.doi.org/10.1177/001088049503600227.

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34

Brents, Tom. "Best Papers Awards Selection Process." Journal of Parametrics 18, no. 2 (November 1998): iv—v. http://dx.doi.org/10.1080/10157891.1998.10462567.

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35

Marshall, Roger, and Woon Bong Na. "The Advertising Agency Selection Process." International Journal of Advertising 13, no. 3 (January 1994): 217–27. http://dx.doi.org/10.1080/02650487.1994.11104577.

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36

Hogan, John D., John E. Horrocks, and Dennis N. Thompson. "Comments on the Selection Process." Journal of Genetic Psychology 152, no. 4 (December 1991): 413–14. http://dx.doi.org/10.1080/00221325.1991.9914700.

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37

Lenau, Torben, and Leo Alting. "Artificial intelligence for process selection." Journal of Mechanical Working Technology 17 (August 1988): 33–49. http://dx.doi.org/10.1016/0378-3804(88)90006-x.

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38

Straub, Diane M., Bethany Griffin Deeds, Nancy Willard, Judith Castor, Ligia Peralta, and Jonathan Ellen. "50: The partner selection process." Journal of Adolescent Health 38, no. 2 (February 2006): 139. http://dx.doi.org/10.1016/j.jadohealth.2005.11.032.

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39

Gayon, Jean. "Sexual selection: Another Darwinian process." Comptes Rendus Biologies 333, no. 2 (February 2010): 134–44. http://dx.doi.org/10.1016/j.crvi.2009.12.001.

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40

Brennan, M. E. "Automation and the selection process." Library Acquisitions: Practice & Theory 16, no. 3 (September 1992): 271–74. http://dx.doi.org/10.1016/0364-6408(92)90039-u.

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41

Boldyrev, V. "Process selection in extractive metallurgy." Reactivity of Solids 3, no. 1-2 (April 1987): 178. http://dx.doi.org/10.1016/0168-7336(87)80043-8.

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42

Nascimbeni, V., G. Piotto, A. Börner, M. Montalto, P. M. Marrese, J. Cabrera, S. Marinoni, et al. "The PLATO field selection process." Astronomy & Astrophysics 658 (January 27, 2022): A31. http://dx.doi.org/10.1051/0004-6361/202142256.

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PLAnetary Transits and Oscillations of stars is an ESA M-class satellite planned for launch by the end of 2026 and dedicated to the wide-field search of transiting planets around bright and nearby stars, with a strong focus on discovering habitable rocky planets hosted by solar-like stars. The choice of the fields to be pointed at is a crucial task since it has a direct impact on the scientific return of the mission. In this paper, we describe and discuss the formal requirements and the key scientific prioritization criteria that have to be taken into account in the Long-duration Observation Phase (LOP) field selection, and apply a quantitative metric to guide us in this complex optimization process. We identify two provisional LOP fields, one for each hemisphere (LOPS1 and LOPN1), and we discuss their properties and stellar content. While additional fine-tuning shall be applied to LOP selection before the definitive choice, which is set to be made two years before launch, we expect that their position will not move by more than a few degrees with respect to what is proposed in this paper.

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43

Abed Aljasim Muhisn, Zahraa, Mazni Omar, Mazida Ahmad, and Sinan Adnan Muhisn. "Team Leader Selection by Using an Analytic Hierarchy Process (AHP) Technique." Journal of Software 10, no. 10 (October 2015): 1216–27. http://dx.doi.org/10.17706//jsw.10.10.1216-1227.

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44

Longhorn, Dave C., Joshua R. Muckensturm, and Shelby V. Baybordi. "Improving the port selection process during military deployments." Journal of Defense Analytics and Logistics 5, no. 2 (October 26, 2021): 131–51. http://dx.doi.org/10.1108/jdal-04-2021-0003.

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PurposeThis paper recommends new criteria for selecting seaports of embarkation during military deployments. Most importantly, this research compares the current port selection criterion, which is to select the seaport with the shortest inland transport time from the deploying installation, to the proposed port selection criteria, which are to select the seaport based on the shortest combined inland and oceanic transit time to the destination theater.Design/methodology/approachThe authors construct an original integer program to select seaports that minimize the expected delivery timeline for a set of notional, but realistic, deployment requirements. The integer program is solved considering the current as well as the proposed port selection criteria. The solutions are then compared using paired-samples t-tests to assess the statistical significance of the port selection criteria.FindingsThis work suggests that the current port selection criterion results in a 10–13% slower delivery of deploying forces as compared to the proposed port selection criteria.Research limitations/implicationsThis work assumes deterministic inland transit times, oceanic transit times, and seaport processing rates. Operational fluctuations in transit times and processing rates are not expected to change the findings from this research.Practical implicationsThis research provides evidence that the current port selection criterion for selecting seaports for military units deploying from the Continental United States is suboptimal. More importantly, logistics planners could use these recommended port selection criteria to reduce the expected delivery timelines during military deployments.Originality/valueSeveral military doctrinal references suggest that planners select seaports based on habitual installation-to-port pairings, especially for early deployers. This work recommends a change to the military's current port selection process based on empirical analyses that show improvements to deployment timelines.

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45

Morris, Douglas W. "Adaptation and habitat selection in the eco-evolutionary process." Proceedings of the Royal Society B: Biological Sciences 278, no. 1717 (May 25, 2011): 2401–11. http://dx.doi.org/10.1098/rspb.2011.0604.

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The struggle for existence occurs through the vital rates of population growth. This basic fact demonstrates the tight connection between ecology and evolution that defines the emerging field of eco-evolutionary dynamics. An effective synthesis of the interdependencies between ecology and evolution is grounded in six principles. The mechanics of evolution specifies the origin and rules governing traits and evolutionary strategies. Traits and evolutionary strategies achieve their selective value through their functional relationships with fitness. Function depends on the underlying structure of variation and the temporal, spatial and organizational scales of evolution. An understanding of how changes in traits and strategies occur requires conjoining ecological and evolutionary dynamics. Adaptation merges these five pillars to achieve a comprehensive understanding of ecological and evolutionary change. I demonstrate the value of this world-view with reference to the theory and practice of habitat selection. The theory allows us to assess evolutionarily stable strategies and states of habitat selection, and to draw the adaptive landscapes for habitat-selecting species. The landscapes can then be used to forecast future evolution under a variety of climate change and other scenarios.

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46

Yu, Chun Mei, and Sheng Bo Yang. "A Novel Feature Selection Method for Process Fault Diagnosis." Applied Mechanics and Materials 427-429 (September 2013): 2045–49. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2045.

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To increase fault classification performance and reduce computational complexity,the feature selection process has been used for fault diagnosis.In this paper, we proposed a sparse representation based feature selection method and gave detailed procedure of the algorithm. Traditional selecting methods based on wavelet package decomposition and Bhattacharyya distance methods,and sparse methods, including sparse representation classifier, sparsity preserving projection and sparse principal component analysis,were compared to the proposed method.Simulations showed the proposed selecting method gave better performance on fault diagnosis with Tennessee Eastman Process data.

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47

Lehmann, L., L. Keller, S. West, and D. Roze. "Group selection and kin selection: Two concepts but one process." Proceedings of the National Academy of Sciences 104, no. 16 (April 6, 2007): 6736–39. http://dx.doi.org/10.1073/pnas.0700662104.

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48

Borissova, A., M. Fairweather, and G. E. Goltz. "An option generation and selection methodology for process equipment selection." Research in Engineering Design 17, no. 1 (April 21, 2006): 13–26. http://dx.doi.org/10.1007/s00163-006-0014-6.

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49

Shrestha, Milan. "Selection Process of Teaching Faculties in Tribhuvan University, Nepal." American Journal of Economics and Business Management 3, no. 3 (August 15, 2020): 92–105. http://dx.doi.org/10.31150/ajebm.v3i3.181.

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Selection is the prerequisite process of choosing the finest candidates from the pool to full fill the vacant posts in an organization. This paper aims to explore the selection process of teaching faculties at Tribhuvan University (TU) concerning Mathis et al. (2012) approach. For achieving this purpose, I employed socio-constructivism with a narrative inquiry, research design in this study. The information is collected from 2 informants via in-depth interviews and discussed with supporting the several kinds of literature. This study explores the application forms, selection test, interview, appointment, and placement as the selection process employed on TU. This selection process seems not adequate for TU for selecting the quality candidates to perform high work productivity and organizational effectiveness.

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50

Daxini, Bhavik K., Prof (Dr ). R. B. Bhatt Prof. (Dr.) R.B. Bhatt, and Prof Jayeshkumar Pitroda. "An Approach for Supplier Selection for Construction Companies Through Analytical Hierarchy Process." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 177–79. http://dx.doi.org/10.15373/22778179/may2013/60.

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