Analytical Hierarchy Process and PROMETHEE Based Evaluation of Campus Access Locations: An Application in Manisa Celal Bayar University

Yıl 2021, Cilt: 19 Sayı: 2, 86 - 98, 28.06.2021

Muhammet Enes Akpınar , Kamil Koçak

https://doi.org/10.18026/cbayarsos.856520

Cited By: 1

Öz

The location selection problem has been considered in many different areas in recent years and is, therefore, one of the most popular decision-making problems. These problems are among the types of problems that can be solved with the most appropriate multi-criteria decision-making methods since many criteria must be taken into account. In this study, an alternative site selection study has been adhered to for the bicycle stations in Manisa Celal Bayar University Sehit Prof. Dr. İlhan Varank Campus. The primary goal was to determine the most suitable new alternative places according to the student density due to the insufficient current situation of bike-sharing stations. In order to determine this alternative, four different points with intensity zones were considered as criteria. However, four alternative stations were determined and different multi-criteria decision-making methods were combined with a geographic information system (GIS). An analytical hierarchy process was applied to obtain the criterion weights and alternative stations were sorted by the PROMETHEE method. Finally, as a result of the calculated data, the most suitable alternative station was decided.

Anahtar Kelimeler

Multi-criteria decision making, PROMETHEE method, Geographic Information System, Analytical Hierarchy Process

Analitik Hiyerarşi Süreci ve Promethee Tabanlı Kampüs İçi Erişim Lokasyonlarının Değerlendirilmesi: Manisa Celal Bayar Üniversitesi’nde Bir Uygulama

Öz

Yer seçim problemi son yıllarda birçok farklı alanda dikkate alınan ve bu sebeple popüler karar verme problemlerdendir. Bu problemler çok sayıda kriterin dikkate alınması gerektiği için en uygun çok kriterli karar verme yöntemleri ile çözülebilen problem tiplerindendir. Bu çalışmada Manisa Celal Bayar Üniversitesi, Şehit Prof. Dr İlhan Varank kampüsünde bulunan bisiklet istasyonları için alternatif yer seçim çalışması yapılmıştır. Bir gerçek hayat uygulaması sunulan bu çalışmada bisiklet paylaşım istasyonlarının mevcut durumunun yetersiz olması sebebiyle öğrenci yoğunluğuna göre yeni alternatif bisiklet istasyonu yerlerinden en uygununu belirlemek öncelikli amaç olmuştur. Bu alternatif bisiklet istasyonlarını belirlemek için yoğunluk bölgelerinin olduğu dört farklı nokta belirlenmiştir. Bununla birlikte, en uygun alternatif istasyonun bulunabilmesi için farklı çok kriterli karar verme yöntemleri bir coğrafi bilgi sistemi (CBS) ile birleştirilmiştir. Analitik hiyerarşi süreci kriter ağırlıklarını elde etmek için uygulanmış ve PROMETHEE yöntemi ile alternatif istasyonların sıralaması yapılmıştır. Son olarak, hesaplanan veriler neticesinde en uygun alternatif istasyona karar verilmiştir.

Anahtar Kelimeler

Çok kriterli karar verme, PROMETHEE, Coğrafi bilgi sistemi, Analitik hiyerarşi süreci

Kaynakça

• Chemweno, P., Pintelon, L., Van Horenbeek, A. & Muchiri, P. (2015). Development of a risk assessment selection methodology for asset maintenance decision making: an analytic network process approach. Int. J. Prod. Econ. 170 (Part B), 663-676
• Cheng, Y., Zhang, J. & Peng, J., (2013). ArcGIS-based evaluation of geo-hazards at yaozhou county, shaanxi, China. J. Rock Mech. Geotech. Eng. 5, 330e334.
• Dyer J. S. (2005). Multiattribute Utility Theory. In: Greco S, Ehrgott M, Figueira J, editors. Multiple criteria decision Analysis: state of the art surveys. New York: Springer;p. 265–92 . Doumpos, M., & Zopounidis, C. (2010). A Multicriteria Decision Support System for Bank Rating, Decision Support Systems, 50, 55–63.
• Goodchild, M. F. (2015). In: Geographic Information Systems, International Encyclopedia of the Social & Behavioral Sciences, second ed., pp. 58-63.
• Healey, M. & Ilbery, B. (1990). Location and Change: Perspectives on Economic Geography. Oxford University Press.
• Halouani, N., Chabchoub, H., & Martel, J-M. (2009). Promethee-MD-2T Method for Project Selection, European Journal of Operational Research, 195, 841– 849, (2009). Ishizaka, A. & Labib, A. (2009). Analytic hierarchy process and expert choice: benefits and limitations. OR Insight 22 (4), 201-220.
• Jun, C. (2000). Design of an intelligent geographic information system for multi‐criteria site analysis. URISA Journal, 12, 5-17. Kabak, M., Dagdeviren, M., Burmaoglu, S. (2016). A hybrid SWOT-FANP model for energy policy making in Turkey. Energy Sources B Energy Econ. Plann. 11 (6), 487-495.
• Lepuschitz, E. (2015). Geographic information systems in mountain risk and disaster management. Appl. Geogr. 63, 212-219. Macharis, C., Springael, J., De Brucker, K., & Verbeke, A. (2004). Promethee and AHP: The Design of Operational Synergies In Multicriteria Analysis, Strengthening Promethee With Ideas of AHP, European Journal of Operational Research, 153, 307–317, (2004).
• Mohamadabadi, H., S., Tichkowsky, G., & Kumar, A. (2009). Development of A Multicriteria Assesment Model for Ranking of Renewable and Non-Renewable Transportation Fuel Vehicles, Energy, 34, 112-125, (2009).
• Murad A. A. (2007). Creating a GIS application for health services at Jeddah city. Comput Bio Med;37:879–89 .
• Ni, Y., Mei, M., & Kokot, S. (2011). Analysis Of Complex, Processed Substances With The Use of NIR Spectroscopy and Chemometrics: Classification and Prediction of Properties - The Potato Crisps Example, Chemometrics and Intelligent Laboratory Systems, 105:147-156.
• Queiruga, D., Walther, G., Gonza’lez, B. J. & Spengler, T. (2008). Evaluation of Sites for Thelocation of WEEE Recycling Plants In Spain, Waste Management, 28(1):181–190. Rahimi, F, Goli A. & Rezaee, R. (2017). Hospital location-allocation in Shiraz using geo- graphical information system (GIS). Shiraz E-Med J;18(8):e57572. doi: 10. 5812/semj.57572.
• Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
• Sipahi, S. & Timor, M. (2010). The analytic hierarchy process and analytic network process: an overview of applications. Management Decision 48(5), 775–808. doi: 10.1108/00251741011043920.
• Sharmin, N. & Neema, M. N. (2013). A GIS-based multi-criteria analysis to site appropriate locations of hospitals in Dhaka City. Hospital (Rio J);8:0–37 . Şenkayas, H. & Hekimoğlu, H. (2013). Çok Kriterli Tedarikçi Seçim Problemine PROMETHEE Yöntemi Uygulaması. Verimlilik Dergisi(2).
• Subramanian, N. & Ramanathan, R., (2012). A review of applications of analytic hierarchy process in operations management. Economics 138 (2), 215e241.
• Vahidnia, M. H., Alesheikh, A. A. & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. J Environ Manage; 90(10):3048–56 .
• Velasquez, M. & Hester, P. T. (2013). An analysis of multi-criteria decision making methods. Int J Oper Res;10(2):56–66.
• Zhang, W., Cao, K., Liu, S. & Huang, B., (2016). A multi-objective optimization approach for health-care facility location-allocation problems in highly developed cities such as Hong Kong. Comput Environ Urban Syst;59:220–30 .
• Zhu, Z., Xu, L., Chen, G., & Li, Y. (2010). Optimization On Tribological Properties of Aramid Fibre and Caso4 Whisker Reinforced Non-Metallic Friction Material With Analytic Hierarchy Process and Preference Ranking Organization Method for Enrichment Evaluations, Materials and Design, 31, 551–555.
• Wu, C. R., Lin, C. T. & Chen, H. C. (2007). Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis. Build Environment;42:1431–44 .
• Wu, C. R., Lin, C. T. & Chen, H. C. (2009). Integrated environmental assessment of the location selection with fuzzy analytical network process. Qual Quant;43:351–80.