• ISSN: 2148-2225 (online)

Ulaştırma ve Lojistik Kongreleri

alphanumeric journal

The Journal of Operations Research, Statistics, Econometrics and Management Information Systems

Personnel Selection In Health Sector With EVAMIX and TODIM Methods

bib

Esra Aytaç Adalı, Ph.D.


Abstract

Nowadays human is the most important factor that affects the success of production and service companies. Different jobs and positions exist within the structure of the companies require different knowledge, talent and personality characteristics. In this manner operating efficiently and productively is affected by the selection of proper personnel to these jobs and positions. In the personnel selection process there are many criteria that the companies consider. These types of problems may be solved by Multi Criteria Decision Making (MCDM) methods. In this study the nurse selection problem of a private hospital is handled and this problem is solved by EVAMIX (EVAluation of MIXed Data) and TODIM (Iterative Multi Criteria Decision Making) methods which are MCDM methods. At the end of the study ranking order of nurse alternatives is provided to the hospital management after performing necessary operations and results are compared.

Keywords: EVAMIX, EVAluation of MIXed Data, Iterative Multi Criteria Decision Making, Nurse Selection, TODIM

Jel Classification: C44

EVAMIX ve TODIM Yöntemleri İle Sağlık Sektöründe Personel Seçimi


Öz

Günümüzde üretim ve hizmet işletmelerinin başarısını etkileyen faktörlerin başında insan gelmektedir. İşletmelerin yapısında yer alan farklı işler ve pozisyonlar; farklı bilgiyi, yeteneği ve kişilik özellikleri gerektirmektedir. Bu durumda işletmelerin etkin ve verimli şekilde faaliyet göstermesi, bu işlere ve pozisyonlara uygun personelin seçiminden oldukça etkilenmektedir. Personel seçim sürecinde işletmelerin önemsediği ve bu süreci etkileyen birçok kriter bulunmaktadır. Bu seçime ilişkin problem, literatürde önerilen Çok Kriterli Karar Verme (ÇKKV) yöntemleri ile çözülebilmektedir. Bu çalışmada özel bir hastanenin hemşire seçim problemi dikkate alınmış ve bu problem, ÇKKV yöntemlerinden EVAMIX (EVAluation of MIXed Data) ve TODIM (Iterative Multi Criteria Decision Making) yöntemleri ile çözülmüştür. Çalışmanın sonunda hastane yönetimine bu yöntemlerden elde edilen hemşire adaylarına ilişkin sıralamalar sunulmuş ve sonuçlar karşılaştırılmıştır.

Anahtar Kelimeler: EVAMIX, Hemşire Seçimi, TODIM


Suggested citation

Aytaç Adalı, E. (). EVAMIX ve TODIM Yöntemleri İle Sağlık Sektöründe Personel Seçimi. Alphanumeric Journal, 4(2), 69-84. http://dx.doi.org/10.17093/aj.2016.4.2.5000194528

References

  • Adıgüzel, O., Tanrıverdi, H. ve Sönmez Özkan, D. (2011). Mesleki profesyonellik ve bir meslek mensuplari olarak hemşireler örneği, Yönetim Bilimleri Dergisi, 9(2), 236-259.
  • Akcan, F., Özsoy, S.A. ve Ergül, Ş. (2006). Birinci basamak sağlik hizmetlerinde çalişan ebe ve hemşirelerin danişmanlik becerilerinin incelenmesi, Atatürk Üniversitesi Hemşirelik Yüksekokulu Dergisi, 9 (4), 10-21.
  • Andalecio, M.N. (2010). Multi-criteria decision models for management of tropical coastal fisheries. A review, Agronomy for Sustainable Development, 30, 557–580.
  • Cerreta, M. & Malangone, V. (2013). Context aware strategies for the Valle dei Mulini of Amalfi. XXVIII Congresso Nazionale Istituto Nazionale di Urbanistica, 24-26 October, Salerno Palazzo del Comune.
  • Chatterjee, P & Chakraborty, S. (2013). Nontraditional machining processes selection using evaluation of mixed data method. Int J Adv Manuf Technol, 68, 1613–1626.
  • Chatterjee, P. & Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study. International Journal of Industrial Engineering Computations, 5, 315–338.
  • Chatterjee, P., Athawale, V.M. & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials and Design, 32, 851–860.
  • Chung, E.S. & Lee, K.S. (2009). Identification of spatial ranking of hydrological vulnerability using multi-criteria decision making techniques: case study of Korea. Water Resour Manage, 23, 2395–2416.
  • Costa, A.P.C,S., Almeida, A.T. & Gomes, L.F.A.M. (2002). Priorities assignment for information systems based on TODIM multicriteria method. Informing Science, 322-328.
  • Darji, V.P & Rao,R.V. (2014) Intelligent Multi Criteria Decision Making Methods for MaterialSelection in Sugar Industry, Procedia Materials Science, 5, 2585 – 2594.
  • Darji, V.P. & Rao, R.V. (2013). Application of AHP/EVAMIX method for decision making in the industrial environment. American Journal of Operations Research, 3, 542-569.
  • Dosal, E., Coronado, M., Muñoz, I., Viguri, J.R. & Andrés, A. (2012). Application of multi-criteria decision-making tool to locate construction and demolition waste (C&DW) recycling facilities in a Northern Spanish Region. Environmental Engineering and Management Journal, 11 (3), 545-556.
  • Ebrahim, B.M. & Abolfazl, L.A. (2014). Flood management options using analytical hierarchy process and evaluation and mixed criteria. Iranian of Irrigation & Water Engineering, 4(14) , 72-82.
  • García-Alcaraz, J.L., Maldonado-Macías, A.A., Hernández-Arellano, J.L., Blanco-Fernández, J., Jiménez-Macías, E. & Sáenz-DíezMuro, J.C. (2016). Agricultural tractor selection: a hybrid and multi-attribute approach. Sustainability, 8(2), 157.
  • Gomes, C.F.S., Gomes, L.F.A.M & Maranhão, F.J.C. (2010). Decision analysis for the exploration of gas reserves: Merging TODIM and THOR, Pesquisa Operacional, 30(3), 601-617.
  • Gomes, L.F.A.M., & Lima, M.M.P.P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16(4), 113–127.
  • Gomes, L.F.A.M. & Rangel, L.A.D. (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research, 193, 204–211.
  • Gomes, L.F.A.M., Machado, M.A.S., Costa, F.F. & Rangel, L.A.D. (2013a). Criteria interactions in multiple criteria decision aiding: A Choquet formulation for the TODIM method. Procedia Computer Science, 17, 324 – 331.
  • Gomes, L.F.A.M., Machado, M.A.S., Costa, F.F. & Rangel, L.A.D. (2013b). Behavioral multi-criteria decision analysis: the TODIM method with criteria interactions. Ann Oper Res, 211, 531–548.
  • Gomes, L.F.A.M., Machado, M.A.S., Santos, D.J. & Caldeira, A.M. (2015). Ranking of suppliers for a steel industry: a comparison of the original TODIM and the Choquet-extended TODIM methods, Procedia Computer Science 55, 706 – 714.
  • Gomes, L.F.A.M., Rangel, L.A.D. & Maranhão, F.J.C. (2009). Multicriteria analysis of natural gas destination in Brazil: An application of the TODIM method. Mathematical and Computer Modelling, 50, 92-100.
  • Hajkowicz, S & Higgins, A. (2008). A comparison of multiple criteria analysis techniques for water resource management. Euro J Oper Res, 184, 255–265.
  • Hinloopen, E., Nijkamp, P. & Rietveldet, P. (2004). Integration of ordinal and cardinal information in multi-criteria ranking with imperfect compensation. European Journal of Operational Research, 158, 317–338.
  • Kahneman, D. & Tversky, A. (1979). Prospect Theory: An Analysiss of Decision of Under Risk, Econometrica:Journal of The Econometric Society, 47 (2), 263-264.
  • Kazancoglu, Y. & Burmaoglu, S. (2013). ERP software selection with MCDM: application of TODIM method. Int. J. of Business Information Systems, (13)4, 435 – 452.
  • Krohling, R.A. & Pacheco, A.G.C. (2014). Interval-valued intuitionistic fuzzy TODIM. Procedia Computer Science, 31, 236 – 244.
  • Krohling, R.A. & Souza, T.T.M. (2012). Combining prospect theory and fuzzy numbers to multi-criteria decision making, Expert Systems with Applications, 39, 11487–11493.
  • Krohling, R.A., Pacheco, A.G.C. & Siviero, A.L.T (2013). IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making. Knowledge-Based Systems, 53, 142–146.
  • Li, M., Wu, C., Zhang, L. & You, L.N. (2015). An intuitionistic fuzzy-TODIM method to solve distributor evaluation and selection problem. International Journal of Simulation Modelling, 14(3), 511-524.
  • Liu, H.C., Qin, J.T., Mao, L.X. & Zhang, Z.Y. (2015), Personnel Selection Using Interval 2-Tuple Linguistic VIKOR Method, Human Factors and Ergonomics in Manufacturing & Service Industries, 25 (3), 370–384.
  • Liu, P. & Teng, F. (2014). An extended TODIM method for multiple attribute group decision-making based on 2-dimension uncertain linguistic variable. Complexity, 1-11. DOI 10.1002/cplx.21625.
  • Lourenzutti, R. & Krohling, R.A. (2013). A study of TODIM in a intuitionistic fuzzy and random environment. Expert Systems with Applications, 40, 6459–6468.
  • Mahmoodi, M. & Jahromi, G.S. (2014). A new fuzzy DEMATEL-TODIM hybrid method for evaluation criteria of knowledge management in supply chain. International Journal of Managing Value and Supply Chains (IJMVSC), 5(2), 29-42.
  • Maimone, M. (2001). Multi-criteria evaluation techniques in water resource planning. Universities Council on Water Resources in American Water Resources Association Technical Publication Series, 227-232.
  • Martel, J.M. & Matarazzo, B. (2005). Other outranking approaches. in: Figueira J, Salvatore G, Ehrgott M. (Eds), Multiple criteria decision analysis: state of the art surveys. Springer, New York, 197–262.
  • Nijkamp, P., Rietveld, P. & Voogd, H. (1990). Multicriteria Evaluation in Physical Planning. North Holland, Amsterdam.
  • Passos, A.C. & Gomes, L.F.A.M. (2014). TODIM-FSE: A multicriteria classification method based on prospect theory. Multiple Criteria Decision Making, 9, 123-139.
  • Passos, A.C., Teixeira, M.G., Garcia, K.C., Cardoso, A.M. & Gomes, L.F.A.M. (2014). Using the TODIM-FSE method as a decision-making support methodology for oil spill response. Computers &Operations Research, 42, 40–48.
  • Qureshi, M.E., Harrison, S.R. & Wegener, M.K. (1999). Validation of multicriteria analysis model. Agriculture Systems, 62, 105-116.
  • Ramooshjan, K., Rahmani, J., Sobhanollahi, M.A. & Mirzazadeh, A. (2015). A new method in the location problem using fuzzy TODIM. Journal of Human and Social Science Research, 06 (01), 1-13.
  • Roy, B., Misra, S.K., Gupta P. & Goswami, A. (2012). An Integrated DEMATEL and AHP Approach for Personnel Estimation, International Journal of Computer Science and Information Technology & Security (IJCSITS), 2(6), 1206-1212.
  • Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
  • Sen, D.K., Datta, S. & Mahapatra, S.S. (2015). Extension of TODIM combined with grey numbers: an integrated decision making module. Grey Systems: Theory and Application, 5(3), 367 – 391.
  • Sohrabi, R. & Nemati, H. (2015). Ranking approaches to struggle corruption by using evaluation and mixed criteria (evamix). Teknologi Tanaman, 12, 370-375.
  • Tavana, M., Kennedy, D.T. & Joglekar, P. (1996) A Group Decision Support Framework for Consensus Ranking of Technical Manager Candidates, Omega, Int. J. Mgmt Sci., 24 (5), 523-538.
  • Tseng, M.L., Lin, Y.H., Lim, M.K. & Teehankee, B.L. (2015). Using a hybrid method to evaluate service innovation in the hotel industry. Applied Soft Computing, 28, 411–421.
  • Turan, H. & Turan, G. (2016). Hemşire seçiminde analitik hiyerarşi metodunun uygulanması, Sağlık Akademisyenleri Dergisi, 3(1), 26-30.
  • Tuş Işık, A. & Aytaç Adalı, E. (2016), Comparative study for the agricultural tractor selection problem, Decision Science Letters, 5, 1-12.
  • Uysal, F. & Tosun, Ö. (2014) Multi criteria analysis of the residential properties in Antalya using TODIM method. Procedia - Social and Behavioral Sciences, 109, 322 – 326.
  • Voogd, H. (1982). Multicriterion evaluation with mixed qualitative and quantitative data. Environment and Planning Bulletin, 9, 221–236.
  • Voogd, H. (1983). Multicriteria Evaluation for Urban and Regional Planning. London: Pion.
  • Wei, C., Zhiliang, R. & Rodríguez, R.M. (2015). A hesitant fuzzy linguistic TODIM method based on a score function. International Journal of Computational Intelligence Systems, 8(4), 701-712.
  • Zhang, X. & Xu, Z. (2014). The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment. Knowledge-Based Systems, 61, 48–58.

Volume 4, Issue 2, 2016

2016.04.02.OR.03

alphanumeric journal

Volume 4, Issue 2, 2016

Pages 69-84

Received: June 29, 2016

Accepted: Aug. 8, 2016

Published: Sept. 27, 2016

Full Text [712.7 KB]

2016 Aytaç Adalı, E.

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Creative Commons Attribution licence

scan QR code to access this article from your mobile device


Contact Us

Faculty of Transportation and Logistics, Istanbul University
Beyazit Campus 34452 Fatih/Istanbul/TURKEY

Bahadır Fatih Yıldırım, Ph.D.
editor@alphanumericjournal.com
+ 90 (212) 440 00 00 - 13219

alphanumeric journal

alphanumeric journal has been publishing as "International Peer-Reviewed Journal" every six months since 2013. alphanumeric serves as a vehicle for researchers and practitioners in the field of quantitative methods, and is enabling a process of sharing in all fields related to the operations research, statistics, econometrics and management informations systems in order to enhance the quality on a globe scale.