A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company
Abstract
:1. Introduction
2. Methods
2.1. Full Consistency Method: FUCOM
2.2. Measurement Alternatives and Ranking According to Compromise Solution (MARCOS)
3. Case Study
3.1. Forming a Multi-Criteria Decision-Making Model
3.2. Determining the Weights of Criteria Using the FUCOM Method
3.3. Evaluation of Human Resources Using the MARCOS Method
- for cost criteria:
- for benefit criteria:
4. Sensitivity Analysis and Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Stević, Ž.; Pamučar, D.; Kazimieras Zavadskas, E.; Ćirović, G.; Prentkovskis, O. The selection of wagons for the internal transport of a logistics company: A novel approach based on rough BWM and rough SAW methods. Symmetry 2017, 9, 264. [Google Scholar] [CrossRef] [Green Version]
- Koskinen, P.; Hilmola, O. Supply chain challenges of North-European paper industry. Ind. Manag. Data Syst. 2008, 108, 208–227. [Google Scholar] [CrossRef]
- Dobrosavljević, A.; Urošević, S. Analysis of business process management defining and structuring activities in micro, small and medium-sized enterprises. Oper. Res. Eng. Sci. Theory Appl. 2019, 2, 40–54. [Google Scholar] [CrossRef]
- Gürbüz, T.; Albayrak, Y.E. An engineering approach to human resources performance evaluation: Hybrid MCDM application with interactions. Appl. Soft Comput. 2014, 21, 365–375. [Google Scholar] [CrossRef]
- Klumpp, M.; Abidi, H. Competence Evaluation and Management in Logistics. In Proceedings of the 24th Annual POM Conference, Denver, CO, USA, 3–6 May 2013. [Google Scholar]
- Chang, Y.W. Employee performance appraisal in a logistics company. Open J. Soc. Sci. 2015, 3, 47. [Google Scholar] [CrossRef] [Green Version]
- Jhawar, A.; Garg, S.K.; Khera, S.N. Modelling and evaluation of investment strategies in human resources for logistics improvement. Int. J. Simul. Process Model. 2016, 11, 36–50. [Google Scholar] [CrossRef]
- Kampf, R.; Ližbetinová, L. The identification and development of talents in the environment of logistics companies. NAŠE MORE Znanstveno-Stručni Časopis More Pomorstvo 2015, 62, 139–142. [Google Scholar] [CrossRef]
- Qu, Q.; Wang, W.; Tang, M.; Lu, Y.; Tsai, S.B.; Wang, J.; Yu, C.L. A Performance Evaluation Study of Human Resources in Low-Carbon Logistics Enterprises. Sustainability 2017, 9, 632. [Google Scholar] [CrossRef] [Green Version]
- Liu, X.; Zou, A.; Kang, M.; Tang, Z. On the application of fuzzy comprehensive appraisal in human capital evaluation of logistics enterprises. In Proceedings of the 2009 16th International Conference on Industrial Engineering and Engineering Management, Beijing, China, 21–23 October 2009; pp. 2012–2015. [Google Scholar]
- Li, B.Z.; Wang, Y.; Bi, R. Research on evaluation index system of logistics talents based on ANP. J. Tianjin Univ. Technol. 2009, 4. Available online: http://en.cnki.com.cn/Article_en/CJFDTOTAL-TEAR200904021.htm (accessed on 28 December 2019).
- Kucharčíková, A.; Mičiak, M. The application of human capital efficiency management towards the increase of performance and competitiveness in an enterprise operating in the field of distribution logistics. NAŠE MORE Znanstveno-Stručni Časopis More Pomorstvo 2018, 65, 276–283. [Google Scholar] [CrossRef] [Green Version]
- Yue, S. The application of Analytic hierarchy Process in Logistics Enterprises Personnel Evaluation. In Proceedings of the 2008 IEEE International Conference on Automation and Logistics, Qingdao, China, 1–3 September 2008; pp. 2608–2613. [Google Scholar]
- Pamučar, D.; Stević, Ž.; Sremac, S. A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (fucom). Symmetry 2018, 10, 393. [Google Scholar] [CrossRef] [Green Version]
- Noureddine, M.; Ristic, M. Route planning for hazardous materials transportation: Multicriteria decision making approach. Decis. Mak. Appl. Manag. Eng. 2019, 2, 66–85. [Google Scholar] [CrossRef]
- Bozanic, D.; Tešić, D.; Kočić, J. Multi-criteria FUCOM-Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge. Decis. Mak. Appl. Manag. Eng. 2019, 2, 132–146. [Google Scholar] [CrossRef]
- Puška, A.; Stojanović, I.; Maksimović, A. Evaluation of sustainable rural tourism potential in Brcko district of Bosnia and Herzegovina using multi-criteria analysis. Oper. Res. Eng. Sci. Theory Appl. 2019, 2, 40–54. [Google Scholar] [CrossRef]
- Stević, Ž.; Durmić, E.; Gajić, M.; Pamučar, D.; Puška, A. A Novel Multi-Criteria Decision-Making Model: Interval Rough SAW Method for Sustainable Supplier Selection. Information 2019, 10, 292. [Google Scholar] [CrossRef] [Green Version]
- Stević, Ž.; Pamučar, D.; Puška, A.; Chatterjee, P. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). Comput. Ind. Eng. 2020, 140, 106231. [Google Scholar] [CrossRef]
- MacCrimmon, K.R. Decision Making among Multiple-Attribute Alternatives: A Survey and Consolidated Approach (No. RM-4823-ARPA); Rand Corp: Santa Monica, CA, USA, 1968. [Google Scholar]
- Zavadskas, E.K.; Turskis, Z. A new additive ratio assessment (ARAS) method inmulticriteria decision making. Technol. Econ. Dev. Econ. 2010, 16, 159–172. [Google Scholar] [CrossRef]
- Zavadskas, E.K.; Turskis, Z.; Antucheviciene, J.; Zakarevicius, A. Optimization of weighted aggregated sum product assessment. Elektronikairel Ektrotechnika 2012, 6, 3–7. [Google Scholar] [CrossRef]
- Keshavarz Ghorabaee, M.; Zavadskas, E.K.; Olfat, L.; Turskis, Z. Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica 2015, 26, 435–451. [Google Scholar] [CrossRef]
- Yazdani, M.; Zarate, P.; Kazimieras Zavadskas, E.; Turskis, Z. A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Manag. Decis. 2019, 57, 2501–2519. [Google Scholar] [CrossRef]
- Pamučar, D.; Ćirović, G. The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Com- parison (MABAC). Expert Syst. Appl. 2015, 42, 3016–3028. [Google Scholar] [CrossRef]
- Hwang, C.L.; Yoon, K. Multiple Attributes Decision Making Methods and Applications; Springer: Berlin, Germany, 1981. [Google Scholar]
- Matić, B.; Jovanović, S.; Das, D.K.; Zavadskas, E.K.; Stević, Ž.; Sremac, S.; Marinković, M. A new hybrid MCDM model: Sustainable supplier selection in a construction company. Symmetry 2019, 11, 353. [Google Scholar] [CrossRef] [Green Version]
- Savković, T.; Miličić, M.; Pitka, P.; Milenković, I.; Koleška, D. Evaluation of the eco-driving training of professional truck drivers. Oper. Res. Eng. Sci. Theory Appl. 2019, 2, 15–26. [Google Scholar] [CrossRef] [Green Version]
- Stević, Ž.; Stjepanović, Ž.; Božičković, Z.; Das, D.K.; Stanujkić, D. Assessment of conditions for implementing information technology in a warehouse system: A novel fuzzy piprecia method. Symmetry 2018, 10, 586. [Google Scholar] [CrossRef] [Green Version]
- Stojić, G.; Stević, Ž.; Antuchevičienė, J.; Pamučar, D.; Vasiljević, M. A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products. Information 2018, 9, 121. [Google Scholar] [CrossRef] [Green Version]
- Radović, D.; Stević, Ž.; Pamučar, D.; Zavadskas, E.K.; Badi, I.; Antuchevičiene, J.; Turskis, Z. Measuring performance in transportation companies in developing countries: A novel rough ARAS model. Symmetry 2018, 10, 434. [Google Scholar] [CrossRef] [Green Version]
- Zavadskas, E.K.; Stević, Ž.; Tanackov, I.; Prentkovskis, O. A novel multicriteria approach–rough step-wise weight assessment ratio analysis method (R-SWARA) and its application in logistics. Stud. Inform. Control 2018, 27, 97–106. [Google Scholar] [CrossRef]
Criteria | C1 | C2 | C4 | C3 | C5 |
Comparisons | 1 | 1.7 | 3.4 | 4.5 | 5 |
Criteria | C1 | C2 | C3 | C4 | C5 |
---|---|---|---|---|---|
AAI | 35.7 | 0.100 | 5 | 5 | 3 |
A1 | 33.9 | 0.001 | 7 | 9 | 7 |
A2 | 30.0 | 0.001 | 9 | 7 | 7 |
A3 | 31.5 | 0.001 | 9 | 7 | 9 |
A4 | 33.0 | 0.001 | 7 | 9 | 9 |
A5 | 31.9 | 0.001 | 9 | 7 | 7 |
A6 | 31.1 | 0.050 | 7 | 7 | 9 |
A7 | 34.8 | 0.001 | 7 | 7 | 7 |
A8 | 25.8 | 0.001 | 7 | 7 | 7 |
A9 | 31.7 | 0.001 | 7 | 7 | 9 |
A10 | 35.7 | 0.001 | 7 | 7 | 7 |
A11 | 34.2 | 0.001 | 7 | 7 | 9 |
A12 | 29.6 | 0.100 | 7 | 7 | 7 |
A13 | 30.2 | 0.001 | 9 | 5 | 5 |
A14 | 34.3 | 0.001 | 7 | 7 | 9 |
A15 | 31.0 | 0.001 | 5 | 7 | 7 |
A16 | 34.5 | 0.001 | 7 | 7 | 7 |
A17 | 33.9 | 0.001 | 5 | 7 | 7 |
A18 | 33.1 | 0.001 | 9 | 9 | 9 |
A19 | 32.7 | 0.001 | 9 | 9 | 9 |
A20 | 35.0 | 0.001 | 9 | 9 | 7 |
A21 | 31.8 | 0.001 | 5 | 7 | 9 |
A22 | 31.0 | 0.001 | 9 | 7 | 7 |
A23 | 32.5 | 0.001 | 7 | 7 | 3 |
AI | 25.8 | 0.001 | 9 | 9 | 9 |
Criteria | C1 | C2 | C3 | C4 | C5 |
---|---|---|---|---|---|
AAI | 0.723 | 0.010 | 0.556 | 0.556 | 0.333 |
A1 | 0.761 | 1.000 | 0.778 | 1.000 | 0.778 |
A2 | 0.860 | 1.000 | 1.000 | 0.778 | 0.778 |
A3 | 0.819 | 1.000 | 1.000 | 0.778 | 1.000 |
A4 | 0.782 | 1.000 | 0.778 | 1.000 | 1.000 |
A5 | 0.809 | 1.000 | 1.000 | 0.778 | 0.778 |
A6 | 0.830 | 0.020 | 0.778 | 0.778 | 1.000 |
A7 | 0.741 | 1.000 | 0.778 | 0.778 | 0.778 |
A8 | 1.000 | 1.000 | 0.778 | 0.778 | 0.778 |
A9 | 0.814 | 1.000 | 0.778 | 0.778 | 1.000 |
A10 | 0.723 | 1.000 | 0.778 | 0.778 | 0.778 |
A11 | 0.754 | 1.000 | 0.778 | 0.778 | 1.000 |
A12 | 0.872 | 0.010 | 0.778 | 0.778 | 0.778 |
A13 | 0.856 | 1.000 | 1.000 | 0.556 | 0.556 |
A14 | 0.752 | 1.000 | 0.778 | 0.778 | 1.000 |
A15 | 0.832 | 1.000 | 0.556 | 0.778 | 0.778 |
A16 | 0.748 | 1.000 | 0.778 | 0.778 | 0.778 |
A17 | 0.761 | 1.000 | 0.556 | 0.778 | 0.778 |
A18 | 0.779 | 1.000 | 1.000 | 1.000 | 1.000 |
A19 | 0.789 | 1.000 | 1.000 | 1.000 | 1.000 |
A20 | 0.737 | 1.000 | 1.000 | 1.000 | 0.778 |
A21 | 0.811 | 1.000 | 0.556 | 0.778 | 1.000 |
A22 | 0.832 | 1.000 | 1.000 | 0.778 | 0.778 |
A23 | 0.794 | 1.000 | 0.778 | 0.778 | 0.333 |
AI | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Criteria | C1 | C2 | C3 | C4 | C5 |
---|---|---|---|---|---|
AAI | 0.314 | 0.003 | 0.071 | 0.054 | 0.029 |
A1 | 0.330 | 0.255 | 0.099 | 0.096 | 0.067 |
A2 | 0.373 | 0.255 | 0.128 | 0.075 | 0.067 |
A3 | 0.355 | 0.255 | 0.128 | 0.075 | 0.087 |
A4 | 0.339 | 0.255 | 0.099 | 0.096 | 0.087 |
A5 | 0.351 | 0.255 | 0.128 | 0.075 | 0.067 |
A6 | 0.360 | 0.005 | 0.099 | 0.075 | 0.087 |
A7 | 0.322 | 0.255 | 0.099 | 0.075 | 0.067 |
A8 | 0.434 | 0.255 | 0.099 | 0.075 | 0.067 |
A9 | 0.353 | 0.255 | 0.099 | 0.075 | 0.087 |
A10 | 0.314 | 0.255 | 0.099 | 0.075 | 0.067 |
A11 | 0.327 | 0.255 | 0.099 | 0.075 | 0.087 |
A12 | 0.378 | 0.003 | 0.099 | 0.075 | 0.067 |
A13 | 0.371 | 0.255 | 0.128 | 0.054 | 0.048 |
A14 | 0.326 | 0.255 | 0.099 | 0.075 | 0.087 |
A15 | 0.361 | 0.255 | 0.071 | 0.075 | 0.067 |
A16 | 0.324 | 0.255 | 0.099 | 0.075 | 0.067 |
A17 | 0.330 | 0.255 | 0.071 | 0.075 | 0.067 |
A18 | 0.338 | 0.255 | 0.128 | 0.096 | 0.087 |
A19 | 0.342 | 0.255 | 0.128 | 0.096 | 0.087 |
A20 | 0.320 | 0.255 | 0.128 | 0.096 | 0.067 |
A21 | 0.352 | 0.255 | 0.071 | 0.075 | 0.087 |
A22 | 0.361 | 0.255 | 0.128 | 0.075 | 0.067 |
A23 | 0.344 | 0.255 | 0.099 | 0.075 | 0.029 |
AI | 0.434 | 0.255 | 0.128 | 0.096 | 0.087 |
Si | Ki− | Ki+ | fK− | fK+ | fKi | Rank | |
---|---|---|---|---|---|---|---|
AAI | 0.470 | 1.000 | |||||
A1 | 0.849 | 1.807 | 0.849 | 0.320 | 0.680 | 0.738 | 12 |
A2 | 0.898 | 1.913 | 0.898 | 0.320 | 0.680 | 0.781 | 5 |
A3 | 0.900 | 1.917 | 0.900 | 0.320 | 0.680 | 0.783 | 4 |
A4 | 0.877 | 1.868 | 0.877 | 0.320 | 0.680 | 0.763 | 7 |
A5 | 0.876 | 1.866 | 0.876 | 0.320 | 0.680 | 0.762 | 8 |
A6 | 0.626 | 1.333 | 0.626 | 0.320 | 0.680 | 0.544 | 22 |
A7 | 0.819 | 1.744 | 0.819 | 0.320 | 0.680 | 0.712 | 18 |
A8 | 0.931 | 1.983 | 0.931 | 0.320 | 0.680 | 0.809 | 1 |
A9 | 0.869 | 1.852 | 0.869 | 0.320 | 0.680 | 0.756 | 9 |
A10 | 0.811 | 1.726 | 0.811 | 0.320 | 0.680 | 0.705 | 19 |
A11 | 0.844 | 1.797 | 0.844 | 0.320 | 0.680 | 0.734 | 13 |
A12 | 0.623 | 1.326 | 0.623 | 0.320 | 0.680 | 0.541 | 23 |
A13 | 0.856 | 1.823 | 0.856 | 0.320 | 0.680 | 0.744 | 11 |
A14 | 0.843 | 1.795 | 0.843 | 0.320 | 0.680 | 0.733 | 14 |
A15 | 0.830 | 1.767 | 0.830 | 0.320 | 0.680 | 0.722 | 16 |
A16 | 0.822 | 1.750 | 0.822 | 0.320 | 0.680 | 0.714 | 17 |
A17 | 0.799 | 1.701 | 0.799 | 0.320 | 0.680 | 0.695 | 21 |
A18 | 0.904 | 1.926 | 0.904 | 0.320 | 0.680 | 0.786 | 3 |
A19 | 0.908 | 1.935 | 0.908 | 0.320 | 0.680 | 0.790 | 2 |
A20 | 0.867 | 1.846 | 0.867 | 0.320 | 0.680 | 0.754 | 10 |
A21 | 0.840 | 1.789 | 0.840 | 0.320 | 0.680 | 0.730 | 15 |
A22 | 0.887 | 1.888 | 0.887 | 0.320 | 0.680 | 0.771 | 6 |
A23 | 0.803 | 1.710 | 0.803 | 0.320 | 0.680 | 0.698 | 20 |
AI | 1.000 | 1.000 |
MARCOS | SAW | ARAS | WASPAS | EDAS | CoCoSo | MABAC | TOPSIS | AV | |
---|---|---|---|---|---|---|---|---|---|
MARCOS | 1.000 | 1.000 | 1.000 | 0.999 | 0.968 | 0.909 | 0.919 | 0.875 | 0.959 |
SAW | - | 1.000 | 1.000 | 0.999 | 0.968 | 0.909 | 0.919 | 0.875 | 0.953 |
ARAS | - | - | 1.000 | 0.999 | 0.968 | 0.909 | 0.919 | 0.875 | 0.945 |
WASPAS | - | - | - | 1.000 | 0.967 | 0.906 | 0.916 | 0.870 | 0.932 |
EDAS | - | - | - | - | 1.000 | 0.845 | 0.917 | 0.846 | 0.902 |
CoCoSo | - | - | - | - | - | 1.000 | 0.911 | 0.819 | 0.910 |
MABAC | - | - | - | - | - | - | 1.000 | 0.924 | 0.962 |
TOPSIS | - | - | - | - | - | - | - | 1.000 | 1.000 |
Total average | 0.945 |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Stević, Ž.; Brković, N. A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company. Logistics 2020, 4, 4. https://doi.org/10.3390/logistics4010004
Stević Ž, Brković N. A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company. Logistics. 2020; 4(1):4. https://doi.org/10.3390/logistics4010004
Chicago/Turabian StyleStević, Željko, and Nikola Brković. 2020. "A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company" Logistics 4, no. 1: 4. https://doi.org/10.3390/logistics4010004
APA StyleStević, Ž., & Brković, N. (2020). A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company. Logistics, 4(1), 4. https://doi.org/10.3390/logistics4010004