Document Type : Research Paper

Authors

1 Department of industrial engineering, Babol Noshirvani University of Technology, Babol Iran

2 Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

Abstract

Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of Fuzzy Decision Making Trial and Evaluation (FDEMATEL), Fuzzy Hierarchy Process Analysis (FAHP), and Fuzzy VIKOR (FVIKOR) is proposed to select the best hospital nurses of a year regarding to some qualitative and quantitative criteria. Firstly, FDEMATEL method is used to identify the most important criteria of the problem and then FAHP approach is utilized to determine the weight importance of the criteria. Finally, prioritizing of the hospital nurses is done by FVIKOR method and the proposed method is implemented in a real-world case study of one of the most prominent hospitals in the north of Iran, for the first time. The results illustrate that the proposed method is very functional and effective in both selecting and ranking the hospital nurses process.

Keywords

Main Subjects

[1] Marlowe, C. M., Schneider, S. L., & Nelson, C. E. (1996). Gender and attractiveness biases in hiring decisions: Are more experienced managers less biased?. Journal of applied psychology, 81(1), 11.
[2] Kahraman, C. (2009). Introduction: Fuzzy Theory and Technology. Multiple-valued logic and soft computing, 15(2-3), 103-105.
[3] Kaur, P., & Chakrabortyb, S. (2007). A new approach to vendor selection problem with impact factor as an indirect measure of quality. Journal of Modern mathematics and Statistics, 1(1), 8-14.
[4] Seol, I., & Sarkis, J. (2005). A multi-attribute model for internal auditor selection. Managerial Auditing Journal, 20(8), 876-892.
[5] Malik, S. K. (2016). Generalized MCDM-Based Decision Support System for Personnel Prioritization. In Proceedings of International Conference on ICT for Sustainable Development (pp. 155-168). Springer Singapore.
[6] Chen, L. S., & Cheng, C. H. (2005). Selecting IS personnel use fuzzy GDSS based on metric distance method. European journal of operational research, 160(3), 803-820.
[7] Saremi, M., Mousavi, S. F., & Sanayei, A. (2009). TQM consultant selection in SMEs with TOPSIS under fuzzy environment. Expert Systems with Applications, 36(2), 2742-2749.
[8] Salimi, N. A., Abui, M. H., & Vahdatzad, M. A. (20177). Selection of appropriate knowledge management strategy using fuzzy multi-criteria decision making (Case study: Ansar bank branches of Kermanshah province). Scientific Journal of Industrial Technology Development, 15(29), 15-26.
[9] Ali Mohammadian, E., Shafiei, M. (2011). Fuzzy multi-criteria decision-making approach to rank and improve the gap between educational hospitals affiliated to Shiraz University of Medical Sciences and based on Balanced Scorecard approach, Journal of Iran University of Medical Sciences, 22(140), 12- 24.
[10] Taghvaei, M., & Goodarzi, M. (2016). Development and Prioritization of Medical Tourism Development Strategies (Case Study: Shiraz Metropolis). Urban Planning, Islamic Azad University, Marvdashteh, Iran, 7(24), 1-22.
[11] Choudhary, D., & Shankar, R. (2012). An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India. Energy, 42(1), 510-521.
[12] McIntyre, C., Kirschenman, M., & Seltveit, S. (1999). Applying decision support software in selection of division director. Journal of Management in Engineering, 15(2), 86-92.
[13] Khoshfetrat, S., & Hosseinzadeh-Lotfi, F. (2014). Deriving Priorities, the Alternatives in an Analytic Hierarchy Process. International Journal of Research in Industrial Engineering, 3(4), 13.
[14] Asgharizad, E., Ehsani, R., & Valipour, F. (2011). Performance Evaluation of Managers Using 360 Degree Technique and VIKOR Decision Technique (Case Study of Jihad Agricultural Engineering Research Institute), Industrial Management Studies, 9(23), 21 -48.
[15] Ghazi Hosseini, S.M., & Tabarsa, N. (2012). Evaluation and ranking of mineral water industry using Fuzzy AHP and VIKOR. National Conference on Entrepreneurship and Knowledge Management Business, Mazandaran University, Center for the Development of Technology Units, Mazandaran, Iran.
[16] Sarlak, M. A., Keshavarz, E., & Keshavarz, A. (2017). Evaluation and survey of knowledge management tools using fuzzy AHP and fuzzy TOPSIS techniques. International Journal of Business Innovation and Research, 13(3), 363-387. 
[17] Asghari, M., Nassiri, P., Monazzam, M. R., Golbabaei, F., Arabalibeik, H., Shamsipour, A., & Allahverdy, A. (2017). Weighting Criteria and Prioritizing of Heat stress indices in surface mining using a Delphi Technique and Fuzzy AHP-TOPSIS Method. Journal of Environmental Health Science and Engineering, 15(1), 1.
[18] Ozdagoglu, A., & Guler, M. E. (2016). E-service quality of Internet based banking using combined fuzzy AHP and fuzzy TOPSIS. Tehnicki vjesnik, 23(4), 1109-1116.
[19] Jain, V., Sangaiah, A. K., Sakhuja, S., Thoduka, N., & Aggarwal, R. (2016). Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. Neural Computing and Applications, 1-10.
[20] Yazdani-Chamzini, A., Shariati, S., Yakhchali, S. H., & Kazimieras Zavadskas, E. (2014). Proposing a new methodology for prioritising the investment strategies in the private sector of Iran. Economic research-Ekonomska istraživanja, 27(1), 320-345.
[21] Luo, L., Liu, H., Liao, H., Tang, S., Shi, Y., & Guo, H. (2016). Discrete Event Simulation Models for CT Examination Queuing in West China Hospital. Computational and mathematical methods in medicine, 2016. [22] Mohaghar, A., Fathi, M. R., Zarchi, M. K., & Omidian, A. (2012). A combined VIKOR-fuzzy AHP approach to marketing strategy selection. Business Management and Strategy, 3(1), 13.
[23] Fontela, E. & Gabus, A. (1976). The DEMATEL observer, DEMATEL 1976 Report. Battelle Geneva Research Center, Switzerland, Geneva.
[24] Saaty, T. L. (1980). The analytic hierarchy process: planning.Priority Setting. Resource Allocation, MacGraw-Hill, New York International Book Company, 287. [25] Varthanan, P. A., Murugan, N., & Kumar, G. M. (2013). An AHP based heuristic DPSO algorithm for generating multi criteria production–distribution plan. Journal of Manufacturing Systems, 32(4), 632-647.
[26] Xu, Z., & Liao, H. (2014). Intuitionistic fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 22(4), 749-761. [27] Chang, D. Y. (1992). Extent analysis and synthetic decision. Optimization techniques and applications, 1(1), 352-355.
[28] Kubler, S., Robert, J., Derigent, W., Voisin, A., & Le Traon, Y. (2016). A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications. Expert Systems with Applications, 65, 398-422.
[29] Khazaeni, G., Khanzadi, M., & Afshar, A. (2012). Fuzzy adaptive decision making model for selection balanced risk allocation. International Journal of Project Management, 30(4), 511-522.
[30] Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in ompromise with outranking method. European Journal of Operational Research, 178, 178-514.
[31] Liao, H., & Xu, Z. (2013). A VIKOR-based method for hesitant fuzzy multi-criteria decision making. Fuzzy Optimization and Decision Making, 12(4), 373-392.
[32] Liao, H., Xu, Z., & Zeng, X. J. (2015). Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Transactions on Fuzzy Systems, 23(5), 1343- 1355.
[33] Zhang, F., Luo, L., Liao, H., Zhu, T., Shi, Y., & Shen, W. (2016). Inpatient admission assessment in West China Hospital based on hesitant fuzzy linguistic VIKOR method. Journal of Intelligent & Fuzzy Systems, 30(6), 3143-3154.