Evaluation of Decision Alternatives of International Transportation Companies Concerning Urban Transportation Using Integrated AHP, Entropy and TOPSIS Methods

Yıl 2019, Cilt: 21 Sayı: 3, 899 - 922, 30.09.2019

Ömer Faruk Görçün

https://doi.org/10.32709/akusosbil.521611

Cited By: 4

Öz

Proper
heavy vehicle selection is an extremely important issue for international
freight transportation companies in an aspect of operational efficiency and
performance. Effectivity of transportation activities depends on proper vehicle
and equipment selection mostly. In addition to that, heavy vehicle selection is
a process, which was affected by many factors and it is not possible to succeed
depending on only personal judgments and intuitional approaches of
decision-makers. Therefore, in a systematic and structural perspective,
evaluation of heavy vehicle selection process by using the multi-criteria
decision-making methodologies can provide an opportunity for selection of
proper and the best heavy vehicle. Within this scope, a hybrid multi-criteria
decision-making model, which integrated the AHP, Entropy, and TOPSIS method is
proposed in order to use in the selection process of the heavy vehicle, which
is used in the international freight transportation activities by logistics
companies. It İs foreseen that the obtained results by using the selected model
can be useful for logistics companies, other parties of logistics processes as
well as researchers who work İn the academic field.

Anahtar Kelimeler

Entropy, TOPSIS, transportation management, selection of heavy vehicle, logistics

Uluslararası Taşımacılık İşletmelerinin Çekici Araç Seçimlerinin EntegreAHP, Entropi ve TOPSIS Yöntemleri Kullanılarak Analizi

Öz

Uluslararası taşımacılık işletmelerinin doğru araç seçimi operasyonel
verimlilik ve etkinlik açısından son derece önemli bir konudur. Taşımacılık
faaliyetlerinin etkinliği uygun araç ve ekipman seçimine büyük ölçüde
bağımlılık göstermektedir. Öte yandan araç seçimi karar alıcıların sezgileri ve
kişisel yargıları ile yapılamayacak kadar çok sayıda faktör tarafından
etkilenen bir süreçtir. Bu nedenle bir lojistik İşletmenin çekici araç seçimine
ilişkin süreci çok kriterli karar verme yöntemleri kullanarak sistematik ve
yapısal bir perspektifte değerlendirmesi en iyi ve uygun aracın seçimine olanak
sağlayabilir. Bu kapsamda lojistik işletmelerin karayolu taşıma faaliyetlerinde
kullanacaklar çekici araçların seçiminde kullanılmak üzere entegre Analitik
Hiyerarşi Prosesi (AHP), Entropi ve TOPSIS yöntemlerinden oluşan hibrid bir model
önerilmektedir. Önerilen bu model kullanılarak elde edilen sonuçların konu ile
ilgili olarak akademik alanda çalışanların yanı sıra, lojistik işletmeler ile
lojistik süreçlerde yer alan diğer aktörler tarafından da kullanılabilir
nitelikte olacağı öngörülmektedir.

Anahtar Kelimeler

AHP, Entropi, TOPSIS, taşımacılık yönetimi, çekici araç seçimi, lojistik

Kaynakça

• Aalami, H.A., Moghaddam, M. P. veYousefi, G.R. (2010). Modeling and prioritizing demand response programs in power markets, Electric Power Systems Research, 80: 426-435.
• Akyene, T. (2012). Cell phone evaluation base on entropy and TOPSIS, Interdisciplinary Journal of Research in Business, 1 (12): 09-15.
• Bo, D. (2010). Analysis of external environment of transmission project based on improved Entropy TOPSIS method, Water Resources and Power, 2: 37-45.
• Chauhan. R., Singh, T., Tiwari, A., Patnaik, A. ve Thakur, N. S. (2017). Hybrid entropy–TOPSIS approach for energy performance prioritization in a rectangular channel employing impinging air jets, Energy, 134: 360-368.
• Chen, F., Wang, J. ve Deng, Y. (2015). Road safety risk evaluation by means of improved entropy TOPSIS–RSR, Safety Science, 79: 39-54.
• Chen, W., Meng, D. ve He, Z. (2011). Comprehensive evaluation and spatial pattern of regional urbanization level in Henan, Progress in Geography, 30: 978–985.
• Cheng, Y., Ren, J., Cuı, H. ve Tang G. (2012). a research using ENTROPY-TOPSIS method on regional development modes in perspective of the three-dimensional framework: a case study of Shandong province, Economic Geography,6: 57-66.
• Deepa R. ve Swamynathan, S. (2015). AHP-Entropy-TOPSIS based clustering protocol for mobile ad hoc networks, Ad Hoc Sensors and Wireless Network, 24 (1/2): 161-177.
• Freeman, J. ve Chen, T. (2015). Green supplier selection using an AHP-Entropy-TOPSIS framework, Supply Chain Management: An International Journal, 20 (3): 327-340.
• Gao, L. ve Xi, Y. (2012). The evaluation study of the industry technological innovation capability in Fujian province based on the Entropy TOPSIS, Science Technology and Industry, 6: 136-144.
• Hong-yan, C. (2004). Improved technique for order preference by similarity to ideal solution and its application in bid-evaluating of construction project, Systems Engineering- Theory Methodology Application, 13 (5): 471-473.
• Hsu, P.F. ve Hsu M.G. (2008). Optimizing the information outsourcing practices of primary care medical organizations using entropy and TOPSIS, Quality and Quantity, 42 (2): 181-201
• Huang, J. (2008). Combining entropy weight and TOPSIS method for information system selection. In Proceedings of the IEEE conference on cybernetics and intelligent systems, CIS 2008, 1281–1284.
• Jozi S. A., Shafiee, M., MoradiMajd, N. ve Saffarian, S. (2012). An integrated Shannon's Entropy–TOPSIS methodology for environmental risk assessment of Helleh protected area in Iran, Environmental Monitoring and Assessment, 184 (11): 6913–6922.
• Li, X., Wang, K., Liu, L., Xin, J., Yang, H. ve Gao C (2011). Application of the entropy weight and TOPSIS method in safety evaluation of coal mines, Procedia Engineering, 26: 2085-2091.
• Li-juan, M. (2002). Supply chain management-based supplier selection: A tentative exploration, Industrial Engineering and Management, 7 (6): 23-25.
• Meng, X.M. ve Hu, H.P. (2009). Application of set pair analysis model based on entropy weight to comprehensive evaluation of water quality, Journal of Hydraulic Engineering, 3: 257-262.
• Nie, L., ve Dong, G. (2010). A study on competitiveness of cruise tourism in port cities based on entropy-TOPSIS, Tourism Forum, 3: 789–794.
• Ouyang, L.Y., Chen, K. S., Yang, C. M., ve Hsu, C. H. (2014). Using a QCAC–Entropy–TOPSIS approach to measure quality characteristics and rank improvement priorities for all substandard quality characteristics, International Journal of Production Research, 52 (10): 3110-3124.
• Pan L., Yi, Q. ve Ge, L. T. (2004). Comprehensive decision-making of transmission network planning based on entropy TOPSIS, Journal of North China Electric Power University, 4 (37): 24-28.
• Rezaei, S, Ghazanfari, S, Kazemi, Z. ve Karyani, AK. (2014). Access to healthcare facilities: case study of Kermanshah province, Journal of Kermanshah University Medical Science, 18: 416-425.
• Sun, L.Y., Miao, C.L. ve Yang, L. (2017). Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method, Ecologic Indicators, 73:554–558.
• Sun, R., Zhang, B. ve Liu, T. (2016). Ranking web service for high quality by applying improved entropy-topsis method" 2016 17th IEEE/ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), May 2016, 249-254.
• Syed H. Mandal U.K. Mondal S.P. (2016). Entropy based MCDM approach for Selection of material. National Level Conference on Engineering Problems and Application of mathematics, May. 2-7.
• Tewari, P.C., Prakash, U. ve Khanduja, D. (2015). Ranking of sintered material for high loaded automobile application by applying Entropy-TOPSIS method, 4th International Conference on Materials Processing and Characterization, 2 (4–5): 2375–2379.
• Triantaphyllou, E. (2000).Multi-criteria decision making methods: a comparative study, Promera Ed. Louisiana Usa: Springer-Science Business Media, 44.
• Wang, L.J. ve Shao, X. L. (2010). Study on the safety production evaluation of the coal mine based on entropy-TOPSIS, Journal of Coal Science ve Engineering. 16 (3): 284–287.
• Wang, Z. W. Tang, K. ve Yan, L. (2011). Comprehensive decision making of thermal power plant site based on entropy weight TOPSIS method, Safety and Environmental Engineering, 18 (5): 103-106.
• Wang, Z.H., Zhan, W. ve Qiu, W.H. (2006). Application of an optimized entropy-TOPSIS multi-criteria decision making model to facilities management, International Journal of Plant Engineering Management, 11: 129-136.
• Xuhong L., Yumin L., Zhenghua G. ve Wendong Y. (2004). Competitive situation analysis of regional logistics development based on AHP and entropy weight, Journal of Southeast University, 3: 398-401.
• Xunping, L., Qiu, R. ve Yong, L. (2016). Evaluation of regional land use performance based on entropy TOPSIS model and diagnosis of its obstacle factors, Transactions of the Chinese Society of Agricultural Engineering, 32 (13): 243-253.
• Yin, H., Shi, G. ve Li, B. (2011). Analysis and Evaluation of Developmental Vulnerability of Regional System Based on Entropy-TOPSIS Method, Operations Research and Management Science, 2: 136-144.
• Zavadskas E.K. Kaklauskas A. Turskis Z. Tamošaitienė J. (2008).Selection of the effective dwelling house walls by applying attributes values determined at intervals, Journal of Civil Engineering and Management, 14 (2): 85-93.
• Zhang, H. Gu, C.L. Gu, L.W. ve Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS and information entropy-A case in the Yangtze River Delta of China, Tourism Management, 32 (2): 443-451.
• Zhang, K. ve Zhou, D. (2008). Application of TOPSIS based on entropy and GD-AHP in evaluating sequence of air target threat, Journal of System Simulation, 20: 1661-1664.
• Zhang, L. C. Zhu, F. Feng, T. ve Pingli, T. A. (2013). Evaluation and correlation analysis of land use performance based on entropy-weight TOPSIS method, Transactions of the Chinese Society of Agricultural Engineering, 29 (5): 217-227.
• Zhang, Y. ve Luo, F. (2014), Industrial cluster competitiveness evaluation model research based on entropy weight TOPSIS method, Applied Mechanics and Materials, 584: 2676-2680.
• Zhao J., Wang, T. ve Niu, D. (2004). Improved entropy TOPSIS of knight service evaluation in electric power marketing, Journal of North China Electric Power University, 31 (3): 68-71.
• Zhao, H. ve Guo S. (2014). Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability, Sustainability, 6 (1): 217-235.