Periodicity.: January - March 2018
e-ISSN......: 2236-269X
Cover Image

Selection of safety officers in an indian construction organization by using grey relational analysis

Sunku Venkata Siva Rajaprasad

Abstract


Stakeholders are responsible for implementing the occupational health and safety provisions in an organization. Irrespective of organization, the role of safety department is purely advisory as it coordinates with all the departments, and this is crucial to improve the performance. Selection of safety officer is vital job for any organization; it should not only be based on qualifications of the applicant, the incumbent should also have sufficient exposure in implementing proactive measures. The process of selection is complex and choosing the right safety professional is a vital decision. The safety performance of an organization relies on the systems being implemented by the safety officer. Application of multi criteria decision-making tools is helpful as a selection process. The present study proposes the grey relational analysis(GRA) for selection of the safety officers in an Indian construction organization. This selection method considers fourteen criteria appropriate to the organization and has ranked the results. The data was also analyzed by using technique for order Preference by Similarity to an Ideal solution (TOPSIS) and results of both the methods are strongly correlated


Keywords


Safety officer; grey relational analysis; criteria; TOPSIS

Full Text:

PDF HTML

References


AMIT,C.; INDU, U. (2013) Identification of Telecom Service Quality Dimensions in India with Fuzzy Analysis, Global Journal of Management and Business studies, v. 3, n. 5, p. 467-474.

ANJALI, A.; CHAUHAN, S. S.; GOYAL, S. K. (2011) A Multi – criteria Decision making Approach for Location Planning for Urban Distribution Centres Under Uncertainty, Mathematical and Computer Modelling, v. 53, n. 2, p. 98-109.

BERIHA, G. S.; PATNAIK, B.; MAHAPATRA, S. S. (2011) Measuring the perception of safety officers on occupational health in Indian industries, International Journal Indian Culture and Business Management, v. 4, n. 1, p. 30-47.

BERNA, B. (2012) Application of TOPSIS Technique for Financial Performance Evaluation of Technology Firms in Istanbul Stock Exchange Market. Procedia Social and Behavioral Sciences, v. 62, p. 1033-1040.

BIRGUIN, S.; GUNGOR, C. (2014) A multi-criteria call center site selection by hierarchy grey relational analysis. Journal of Aeronautics and Space Technologies, v. 7, n. 1, p. 45-52.

CHAN, J. W.; TONG, T. K. (2007) Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach. Materials & Design, v. 28, n. 5, p. 1539-1546.

DAGDEVIREN, M. (2010) A hybrid multi-criteria decision making model for personnel selection in manufacturing systems, Journal of Intelligent Manufacturing, v. 21, p. 451–460.

DRAGISA, S.; BOJAN, D.; MIRA, D. (2013) Comparative Analysis of Some Prominent MCDM Methods: A Case of Ranking Serbian Banks. Serbian Journal Management, v. 8, n. 2, p. 213-241.

GIBNEY, R.; SHANG, J. (2007) Decision making in academia: A case of the dean selection process, Mathematical and Computer Modelling, v. 46, n. 7-8, p. 1030–1040.

GOVERNMENT OF INDIA. (1996) The Building and Other Construction Workers (Regulation of Employment and Conditions of service) Act.

HADI, S.; MAZDAK, K.; REZA, D. (2011) Prioritizing Critical Success Factors Influencing Safety Using TOPSIS, International Journal of Business and Social Science, v. 2, n. 20, p. 295-300.

HASHEMI, S. H.; KARIMI, A.; TAVANA, M. (2015) An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, v. 159, p. 178-191.

IRFAN, E.; TAYFUN, O.; ABDULLAH, O.; GULIN, Z. (2016) Grey Relational Analysis Approach In Academic Performance Comparison Of University: A Case Study Of Turkish Universities, European Scientific Journal, p. 128-133.

KANCHANA, P.; GAYANI, K.; SAJANI, J. (2013) Construction Safety Assessment Framework for Developing Countries: A Case Study of Sri Lanka, Journal of Construction in Developing Countries, v. 18, n. 1, p. 33–51.

KUO, Y.; YANG, T.; HUANG, G. W. (2008) The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, v. 55, n. 1, p. 80-93.

LIANG, S. L.; Wang, M. J. (1994) Personnel selection using fuzzy MCDM algorithm, European Journal of Operational Research, v. 78, p. 22–33.

MARKABI, M. S.; SABBAGH, M. (2014) A Hybrid Method of GRA and DEA for Evaluating and Selecting Efficient Suppliers plus a Novel Ranking Method for Grey Numbers, Journal of Industrial Engineering and Management, v. 7, n. 5, p. 1197-1221.

NILSEN, K. (2016) Personnel selection with grey relational analysis. Management Science Letters, n. 6, p. 351–360.

PIJUSH, K. B.; TITHARAJ, S.; DEBAMALYS, B.; BIJAN, S. (2012) Analysis of Noise Emitted from Electrical Machines Using TOPSIS Technique, International Journal of Environment Science and Development, v. 3, n. 1, p. 5-9.

PPARAWAN, P. (2015) Application of the Multi Criteria Decision Making Methods for Project Selection. Universal Journal of Management, v. 3, n. 1, p. 15-20.

PRAMANIK, S.; MUKHOPADHYAYA, D. (2011) Grey Relational Analysis based Intuitionistic Fuzzy Multi-criteria Group Decision-making Approach for Teacher Selection in Higher Education, International Journal of Computer Applications, v. 34, n. 10, p. 21-29.

RAJESH, R.; RAVI, V. (2015) Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of Cleaner Production, v. 86, p. 343-359.

ROBERTSON, I. T.; SMITH, B. (2001) Personnel selection, Journal of Occupational and Organizational Psychology, v. 74, p. 441–472.

ROGHANIAN, E. A.; EHSAM, S. A. (2014) An Application of Fuzzy TOPSIS to Improve the Process of Supply Chain Management in the Food Industries: A Case Study of Protein Products Manufacturing Company, Decision Science Letters, v. 3, n. 1, p. 17-26.

ROUYENDEGH, B.; ERKAN, T. (2012) Selection of academic staff using the fuzzy analytic hierarchy process (FAHP): a pilot study, Tehnicki vjesnik–Technical Gazette, v. 19, n. 4, p. 923–929.

SIFEN, L.; FORREST, J. (2007) The Current Developing Status on Grey System Theory, The Journal of Grey System, v. 2, p. 111-123.

SUN, C.; XIANG, S.; JIANG, S. (2015) A Supply Chain Risk evaluation Method Based on Fuzzy TOPSIS, International Journal of Safety and Security Engineering, v. 5, n. 2, p. 150-161.

SUNITHA, G.; RUBEN, P. (2017) A Grey Based Decision Making Approach for Supplier Selection, IOSR Journal of Business and Management, v. 19, n. 3, p. 72-75.

TSAI, C. H.; CHANG, C. L.; CHEN, L. (2003) Applying grey relational analysis to the vendor evaluation model. International Journal of The Computer Internet and Management, v. 11, n. 3, p. 45-53.

WANG,Y.; XI, C.; ZHANG, S.; YU, D. (2015) Combined Approach for Government E-Tendering Using GA and TOPSIS with Intuitionist Fuzzy Information, PLoS ONE, v. 10, n. 7, p. 1-20.

XU, G.; YANG, Y. P.; LU, S. Y.; LI, L.; SONG, X. (2011) Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process. Energy Policy, v. 39, n. 5, p. 2343-2351.

YANG, C. C.; CHEN, B. S. (2006) Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, v. 17, n. 7, p. 926–941.

YONG-TAO, T.; LI-YIN, S.; CRAIG, L.; YAN, L. (2010) Construction Project Selection Using Fuzzy TOPSIS Approach, Journal of Modelling in Management, v. 5, n. 3, p. 302-315.




DOI: http://dx.doi.org/10.14807/ijmp.v9i1.656

Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Sunku Venkata Siva Rajaprasad

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

LIBRARIES BY

Logo Gaudeamus

Logo INDIANA

Logo CHENG KUNG

Logo UTEP

Logo MOBIUS

Logo UNIVEM

Logo Kennedy

Logo Columbia

Logo UCS

Logo MSG/UFF

Logo OPT

Logo Biblioteca Professor Milton Cabral Moreira

Logo UFL

Logo ULRICHSWEB

Logo UNISA