Selection Of Information Technology Personnel For An Enterprise In The Process Of Industry 4.0 With The MultiMoora Method

Year 2019, Volume: 23 Issue: 4, 663 - 675, 01.08.2019

Mine Büşra Gelen , Alparslan Serhat Demir

https://doi.org/10.16984/saufenbilder.459659

Cited By: 2

Abstract

Meeting the need for appropriate personnel for enterprises is a major
decisive factor that directly affects the quality of the workforce as well as
the quality of production and service processes. With the emergence of the
Industry 4.0 concept, the expectations of the quality of the personnel working
in the IT sector are increasing day by day. This increase in expectations makes
it difficult to assess in the recruitment process. This requires an objective
assessment of many criteria at the same time. In this study, the need of an IT
(Information Technologies) personnel of a enterprise operating in the IT sector
was met with the MultiMoora (Moora plus the full multiplicative form) method,
which is one of the multi criteria decision making methods. In the study, the
basic components of the Multimoora method; Moora-Ratio Method, Moora-Reference
Point Approach and Full Multiplicative Form methods were applied separately and
the most suitable IT personnel was selected by the theory of dominance.

Keywords

Personnel Selection, MultiMoora, Multi-Criteria Decision Making, Industry 4.0, The Theory of Dominance

References

• W. K. M. Brauers and E. K. Zavadskas, “The MOORA method and its application to privatization in a transition economy,” Control and Cybernetics, 35(2), 445-469, 2006.
• W. K. M. Brauers and E. K. Zavadskas, “Project management by MULTIMOORA as an instrument for transition economies,” Technological and Economic Development of Economy, 16(1), 5-24, 2010.
• W. K. M. Brauers and E. K. Zavadskas, “Robustness of MULTIMOORA: a method for multi-objective optimization,” Informatica, 23(1), 1-25, 2012.
• S. Datta, N. Sahu and S. Mahapatra, “Robot selection based on grey-MULTIMOORA approach,” Grey Systems: Theory and Application, 3(2), 201-232, 2013.
• E. I. Cetin and E. T. Icigen, “Personnel Selection Based on Step-Wise Weight Assessment Ratio Analysis and Multi-Objective Optimization on the Basis of Ratio Analysis Methods,” World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(11), 2538-2542, 2017.
• M. S. Yıldız and S. Aksoy, “Analitik Hiyerarşi Prosesi ile Personel Seçimi Üzerine Bir Çalışma,” Abant İzzet Baysal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 15(1), 59-83, 2015.
• A. R. Afshari, M. Mojahed, R. M. Yusuff, T. S. Hong and M. Y. Ismail, “Personnel selection using ELECTRE,” Journal of Applied Sciences, 10, 3068-3075, 2010.
• D. Karabašević, D. Stanujkić and S. Urošević, “The MCDM Model for Personnel Selection Based on SWARA and ARAS Methods,” Management (1820-0222), (77), 2015.
• S. Tepe and A. Görener, “Analıtık Hıyerarsı Sürecı Ve Moora Yöntemlerının Personel Seçımınde Uygulanması/An Implementatıon Of Analytıc Hıerarchy Process And Moora Methods On The Employee Selectıon,” Istanbul Ticaret Universitesi Fen Bilimleri Dergisi, 13(25), 1, 2014.
• E. Eroğlu, B. F. Yıldırım and M. Özdemir, “Çok Kriterli Karar Vermede “Oreste” Yöntemi ve Personel Seçiminde Uygulanması,” Yönetim: İstanbul Üniversitesi İşletme İktisadı Enstitüsü Dergisi, (76), 1-19, 2014.
• E. A. Adalı, “Personnel Selection In Health Sector with EVAMIX and TODIM Methods,” Alphanumeric Journal, 4(2), 69-84, , 2016.
• M. Dursun and E. E. Karsak, “A fuzzy MCDM approach for personnel selection,” Expert Systems with applications, 37(6), 4324-4330, 2010.
• S. F. Zhang and S. Y. Liu, “A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection,” Expert Systems with Applications, 38(9), 11401-11405, 2011.
• A. Baležentis, T. Baležentis and W. K. Brauers, “Personnel selection based on computing with words and fuzzy MULTIMOORA,” Expert Systems with applications, 39(9), 7961-7967, 2012.
• G. S. Liang and M. J. J. Wang, “Personnel selection using fuzzy MCDM algorithm,” European journal of operational research, 78(1), 22-33, 1994.
• Z. Güngör, G. Serhadlıoğlu and S. E. Kesen, “A fuzzy AHP approach to personnel selection problem,” Applied Soft Computing, 9(2), 641-646, 2009.
• S. Shamim, S. Cang, H. Yu and Y. Li, “Management approaches for Industry 4.0: A human resource management perspective,” 2016 IEEE Congress on Evolutionary Computation (CEC), 5309-5316, 2016.
• M. Rüßmann, M. Lorenz, P. Gerbert, M. Waldner, J. Justus, P. Engel and M. Harnisch, “Industry 4.0: The future of productivity and growth in manufacturing industries,” Boston Consulting Group, 9, 2015.
• A. Yıldız, “Endüstri 4.0 ve akıllı fabrikalar,” Sakarya University Journal of Science, 22(2), 548-558, 2018.
• S. Dilibal and H. Şahin, “İşbirlikçi Endüstriyel Robotlar ve Dijital Endüstri,” International Journal of 3D Printing Technologies and Digital Industry, 2(1), 86-96, 2018.
• N. Gabaçlı and M. Uzunöz, “IV. Sanayi Devrimi: Endüstri 4.0 ve Otomotiv Sektörü,” ICPESS International Congress on Politic, Economic and Social Studies, No. 3, 149-174, 2017.
• H. T. Lin, “Personnel selection using analytic network process and fuzzy data envelopment analysis approaches,” Computers & Industrial Engineering, 59(4), 937-944, 2010.
• M. Kabak, “A Fuzzy DEMATEL-ANP Based Multi Criteria Decision Making Approach For Personnel Selection,” Journal of Multiple-Valued Logic & Soft Computing, 20, 2013.
• E. Özgörmüş, Ö. Mutlu and H. Güner, “Bulanık AHP ile personel seçimi,” V. Ulusal Üretim Araştırmaları Sempozyumu, İstanbul Ticaret Üniversitesi, 111-115, 2005.
• A. Doğan and E. Önder, “İnsan Kaynakları Temin ve Seçiminde Çok Kriterli Karar Verme Tekniklerinin Kullanılması ve Bir Uygulama,” Journal of Yasar University, 9(34), 2014.
• K. Vatansever and M. Oncel, “An Implementation of Integrated Multi-Criteria Decision Making Techniques for Academic Staff Recruitment,” Journal of Management Marketing and Logistics, 1(2), 111-126, 2014.
• A. Değermenci and B. Ayvaz, “Bulanık ortamda TOPSIS yöntemi ile personel seçimi: katılım bankacılığı sektöründe bir uygulama,” İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 15(30), 77-93, 2016.
• F. Samanlioglu, Y. E. Taskaya, U. C. Gulen and O. Cokcan, “A Fuzzy AHP–TOPSIS-Based Group Decision-Making Approach to IT Personnel Selection,” International Journal of Fuzzy Systems, 20(5), 1576-1591, 2018.
• T. Baležentis and S. Zeng, “Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method,” Expert Systems with Applications, 40(2), 543-550, 2013.
• D. Karabasevic, D. Stanujkic, S. Urosevic and M. Maksimovic, “Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods,” Acta Montanistica Slovaca, 20(2), 2015.