BÜTÜNLEŞİK SWARA VE EDAS YÖNTEMİ KULLANARAK FİTNESS MERKEZLERİNİN DEĞERLENDİRİLMESİ: ÖRNEK BİR UYGULAMA

Öz

Günümüzde sağlıklı yaşam, sağlıklı beslenme konularında insanların bilinçlenmesi ile birlikte, spor faaliyetlerine daha fazla vakit ayrılmaya başlanmış; bu durum, spor faaliyetlerinin gerçekleştirebileceği fitness merkezlerine olan taleplerin de artmasına yol açmıştır. Bu yoğun talep ile birlikte, birçok şehir merkezinde büyük yatırımlar yapılarak fitness merkezleri açılmış; ancak, yoğun rekabet nedeniyle çok sayıda fitness merkezinin ekonomik anlamda zorlu süreçlere girdikleri gözlenmiştir. Fitness merkezlerinin sürekliliği için, mevcut müşterinin elde tutulması, yeni müşterilerin kazanılması önemlidir. Bu çalışmada amaç, çok sayıda karar vericiden (KV) alınan bilgiler ile fitness merkezlerinin değerlendirilmesinde etkili olan kriterlerin ağırlıklarının çok kriterli karar verme (ÇKKV) yöntemlerinden SWARA yöntemi ile belirlenmesi; elde edilen kriter ağırlıklarının sürece dahil edilerek fitness merkezlerinin ÇKKV yöntemlerinden EDAS yöntemi ile değerlendirilmesidir. Uygulama çalışmasında, Aydın`ın Nazilli ilçesinde en fazla müşteriye sahip 3 farklı fitness merkezinden rastgele seçilen toplam 15 müşteri KV olarak alınmıştır. ÇKKV yöntemi olan SWARA yönteminin uygulama aşamaları dikkate alınarak 15 KV’ye anket uygulanmış ve elde edilen veriler SWARA yönteminde değerlendirilmiştir. Çalışmanın değerlendirme kısmında, Nazilli’de müşteri yoğunluğu fazla olan altı fitness merkezi alternatif olarak alınmıştır. Tüm bu fitness merkezlerini tanıyan beş KV (kriterleri değerlendiren KV’lerden farklı) ile yapılan anket sonucunda elde edilen grup karar matrisinin ÇKKV yöntemlerinden EDAS yöntemine göre yapılan değerlendirmesi sonucunda, ilçedeki en yüksek puana sahip fitness merkezi belirlenmiştir.

Anahtar Kelimeler

• Fitness merkezlerinin değerlendirilmesi,çok kriterli karar verme,SWARA yöntemi,EDAS yöntemi

Evaluating the Fitness Centers Using Integrated SWARA and EDAS Method: A Case Study

Öz

With people’s becoming aware of healthy life and healthy diet today, more time has begun to be spared for sports activities and this lead to an increase in the demands of fitness centers where sports activities can take place. With this heavy demand, great investments have been made in many city centers to open fitness centers; however, it has also been observed that most fitness centers entered economically into challenging processes due to intense competition. For the continuity of fitness centers, it is important to retain the current customers as well as to gain new customers. The purpose of this study is to determine the significance levels (weights) of the effective criteria in evaluating the fitness centers with the information received from numerous decision makers (DM’s) through the SWARA method among the multi-criteria decision making (MCDM) methods; and to evaluate the fitness centers through the EDAS method among the MCDM methods by including the obtained criteria weights in the process. In case study, a total of 15 customers randomly selected from 3 different fitness centers that have the most customers in the Nazilli district of Aydın, which is the location of the application were taken as the DM’s. The survey was applied to 15 DM’s by considering the application stages of SWARA method, which is a MCDM method. The obtained data were evaluated in SWARA method. In the evaluation part of the study, six fitness centers with high customer intensity in Nazilli were taken as alternatives. As a result of the evaluation of the group decision matrix, obtained from the survey carried out with the five DM’s knowing about all these fitness centers (different from the DM’s evaluating the criteria), through the EDAS method among the MCDM methods; the fitness center having the highest score in the Nazilli district was determined.

Anahtar Kelimeler

• Evaluating the fitness centers,Multi-criteria decision making,SWARA method,EDAS Method

Kaynakça

1. AFTHINOS, Y., THEODORAKIS, N.D. ve NASSIS, P. (2005), Customers’ expectations of service in Greek fitness centers. Managing Service Quality, 15(3), 245–258.
2. AGHDAIE, M. H., HASHEMKHANI ZOLFANI, S. ve ZAVADSKAS, E. K. (2013), Decision Making in Machine Tool Selection: An Integrated Approach with SWARA and COPRAS-G Methods. Engineering Economics, 24(1), 5–17.
3. AGHDAIE, M. H., HASHEMKHANI ZOLFANI, S. ve ZAVADSKAS, E. K. (2014a), Synergies of Data Mining and Multiple Attribute Decision Making” Procedia - Social and Behavioral Sciences, 110(2014), 767–776.
4. AGHDAIE, M. H., HASHEMKHANI ZOLFANI, S. ve ZAVADSKAS, E. K. (2014b), Sales Branches Performance Evaluation: A Multiple Attribute Decision Making Approach. Vilnius Gediminas Technical University, Lithuania, 8th International Scientific Conference - Business and Management 2014: 1-7.
5. ALIMARDANI, M., HASHEMKHANI ZOLFANI, S., AGHDAIE, M. H. ve TAMOŠAITIENĖ, J. (2013), A Novel Hybrid SWARA and VIKOR Methodology for Supplier Selection in an Agile Environment. Technological and Economic Development of Economy, 19(3), 533–548.
6. Atasoy, B. ve Kuter, F. Ö. (2005), Küreselleşme ve Spor. Eğitim Fakültesi Dergisi, 18(1), 11–22.
7. ÇAKIR, E. (2016), Electronic Document Management System (EDMS) Software Selection with Fuzzy COPRAS Method: A Municipal Case. W. Sayers ve M. Avcı (Ed.), Law and Order in Turkish Society içinde (ss. 92–100). Berlin: AGP Research.
8. ÇAKIR, E. (2017), Kriter Ağırlıklarının SWARA – Copeland Yöntemi ile Belirlenmesi: Bir Üretim İşletmesinde Uygulama. Adnan Menderes Üniversitesi, Sosyal Bilimler Enstitüsü Dergisi, 4(1), 42–56.

9. ÇAKIR, E. ve KUTLU KARABIYIK, B. (2017), Bütünleşik SWARA-COPRAS Yöntemi Kullanarak Bulut Depolama Hizmet Sağlayıcılarının Değerlendirilmesi. Bilişim Teknolojileri Dergisi, 10(4), 417–434.
10. ÇAKIR, E. ve ÖZDEMİR, M. (2016), Bulanık Çok Kriterli Karar Verme Yöntemlerinin Altı Sigma Projeleri Seçiminde Uygulanması. Business and Economics Research Journal, 7(2), 167–201.
11. DEHNAVI, A., AGHDAM, I. N., PRADHAN, B. ve MORSHED VARZANDEH, M. H. (2015), A New Hybrid Model Using Step-Wise Weight Assessment Ratio Analysis (SWARA) Technique and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Tegional Landslide Hazard Assessment in Iran. Catena, 135(2015), 122–148.
12. ERDEM, İ. (2013), Yöneylem Araştırması ve WinQSB Uygulamaları. Ankara, Seçkin Yayıncılık.
13. GERSON, R. F. (1999), Members for Life: Proven Service and Retention Strategies for Health-fitness and Sports Clubs. ABD, Human Kinetics Publishers.
14. GHORABAEE, M. K., AMIRI, M., ZAVADSKAS, E. K. ve TURSKIS, Z. (2017), Multi-criteria group decision-making using an extended edas method with interval type-2 fuzzy sets. E a M: Ekonomie a Management, 20(1), 48–68.
15. GHORABAEE, M. K., AMIRI, M., ZAVADSKAS, E. K., TURSKIS, Z. ve ANTUCHEVICIENE, J. (2017), A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations. Computers and Industrial Engineering, 112(2017), 156–174.
16. GHORABAEE, M. K., ZAVADSKAS, E. K., AMIRI, M. ve TURSKIS, Z. (2016), Extended EDAS method for fuzzy multi-criteria decision-making: An application to supplier selection. International Journal of Computers, Communications and Control, 11(3), 358–371.
17. GHORABAEE, M. K., ZAVADSKAS, E. K., OLFAT, L. ve TURSKIS, Z. (2015), Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 26(3), 435–451.
18. HASHEMKHANI ZOLFANI, S. ve BANIHASHEMI, S. S. A. (2014), Personnel Selection Based on a Novel Model of Game Theory and MCDM Approaches. Vilnius Gediminas Technical University, Lithuania, 8th International Scientific Conference - Business and Management 2014: 191–198.
19. HASHEMKHANI ZOLFANI, S., ESFAHANI, M. H., BITARAFAN, M., ZAVADSKAS, E. K. ve AREFI, S. L. (2013), Developing A New Hybrid MCDM Method for Selection of The Optimal Alternative of Mechanical Longitudinal Ventilation of Tunnel Pollutants During Automobile Accidents. Transport, 28(1), 89–96.
20. HASHEMKHANI ZOLFANI, S., SALIMI, J., MAKNOON, R. ve SIMONA, K. (2015), Technology foresight about R&D projects selection; application of SWARA method at the policy making level. Engineering Economics, 26(5), 571–580.
21. HASHEMKHANI ZOLFANI, S. ve SAPARAUSKAS, J. (2013), New Application of SWARA Method in Prioritizing Sustainability Assessment Indicators of Energy System. Engineering Economics, 24(5), 408–414.
22. HASHEMKHANI ZOLFANI, S., ZAVADSKAS, E. K. ve TURSKIS, Z. (2013), Design of Products with Both International and Local Perspectives Based on Yin-Yang Balance Theory and SWARA Method. Economic Research, 26(2), 153–166.
23. HILLIER, F. S. ve LIEBERMAN, G. J. (2001), Introduction to Operational Research. New York, McGraw-Hill.
24. JUODAGALVIENĖ, B., TURSKIS, Z., ŠAPARAUSKAS, J. ve ENDRIUKAITYTĖ, A. (2017), Integrated multi-criteria evaluation of house’s plan shape based on the EDAS and SWARA methods. Engineering Structures and Technologies, 9(3), 117–125.
25. KAHRAMAN, C., KESHAVARZ GHORABAEE, M., ZAVADSKAS, E. K., CEVIK ONAR, S., YAZDANI, M. ve OZTAYSI, B. (2017), Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection. Journal of Environmental Engineering and Landscape Management, 25(1), 1–12.
26. KARABASEVIC, D., PAUNKOVIC, H. ve STANUJKIC, D. (2016), Ranking of companies according to the indicators of corporate social responsibility based on SWARA and ARAS methods. Serbian Journal of Management, 11(1), 43–53.
27. KARABASEVIC, D., STANUJKIC, D., UROSEVIC, S. ve MAKSIMOVIC, M. (2015), Selection of Candidates in the Mining Industry Based on the Application of the SWARA and the MULTIMOORA Methods. Acta Montanistica Slovaca, 20(2), 116–124.
28. KARABASEVIC, D., STANUJKIC, D., UROSEVIC, S. ve MAKSIMOVIC, M. (2016), An approach to personnel selection based on Swara and Waspas methods. Journal of Economics, Management and Informatics, 7(1), 1–11.
29. KERŠULIENĖ, V. ve TURSKIS, Z. (2011), Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection. Technological and Economic Development of Economy, 17(4), 645–666.
30. KERŠULIENE, V., ZAVADSKAS, E. K. ve TURSKIS, Z. (2010), Selection of Rational Dispute Resolution Method by Applying New Step-Wise Weight Assessment Ratio Analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258.
31. KIKOMBA, M. K., MABELA, R. M. ve NTANTU, D. I. (2016), Applying EDAS Method to Solve Air Traffic Problems. International Journal of Scientific and Innovative Mathematical Research (IJSIMR), 4(8), 15–23.
32. MAVI, R. K., GOH, M. ve ZARBAKHSHNIA, N. (2017), Sustainable third - party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. International Journal of Advanced Manufacturing Technology, 91(5–8), 2401–2418.
33. NEZHAD, M. R. G., HASHEMKHANI ZOLFANI, S., MOZTARZADEH, F., ZAVADSKAS, E. K. ve BAHRAMI, M. (2015), Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran. Economic Research-Ekonomska Istrazivanja, 28(1), 1111–1137.
34. OGORLEC, A. ve SNOJ, B. (1998), Guests’ satisfaction with tourism services: A case of health resorts in Slovenia. The Tourist Review, 53(2), 38–47.
35. SENAKHAM, T. (2008), Customers’ Expectations of Service Quality in Thai University Fitness Centers in Bangkok Metropolitan Area, Kingdom of Thailand. United States Sports Academy.
36. SHUKLA, S., MISHRA, P. K., JAIN, R. ve YADAV, H. C. (2016), An integrated decision making approach for ERP system selection using SWARA and PROMETHEE method. Int. J. of Intelligent Enterprise, 3(2), 120–147.
37. STANUJKIC, D., KARABASEVIC, D. ve ZAVADSKAS, E. K. (2015), A Framework for the Selection of a Packaging Design Based on the SWARA Method. Engineering Economics, 26(2), 181–187.
38. STANUJKIC, D., ZAVADSKAS, E. K., KESHAVARZ GHORABAEE, M. ve TURSKIS, Z. (2017), An extension of the EDAS method based on the use of interval grey numbers. Studies in Informatics and Control, 26(1), 5–12.
39. TECİM, V. (Ed.) (2011), Yöneylem Araştırması. İstanbul, Lisans Yayıncılık.
40. TEKİN, M. (2008), Sayısal Yöntemler. Konya, Selçuk Üniversitesi İİBF.
41. TİMOR, M. (2010), Yöneylem Araştırması. İstanbul, Türkmen Kitabevi.
42. TUŞ IŞIK, A. ve AYTAÇ ADALI, E. (2016), A new integrated decision making approach based on SWARA and OCRA methods for the hotel selection problem. International Journal of Advanced Operations Management, 8(2), 140–151.
43. ULUTAŞ, A. (2017), EDAS Yöntemi Kullanılarak Bir Tekstil Atölyesi İçin Dikiş Makinesi Seçimi. Journal of Business Research-Türk, 9(2), 169–183.
44. VAFAEIPOUR, M., HASHEMKHANI ZOLFANI, S., VARZANDEH, M. H. M., DERAKHTI, A. ve KESHAVARZ, M. E. (2014), Assessment of Regions Priority for Implementation of Solar Projects in Iran: New Application of a Hybrid Multi-Criteria Decision Making Approach. Energy Conversion and Management, 86(2014), 653–663.
45. YAZDANI, M., ZAVADSKAS, E. K., IGNATIUS, J. ve ABAD, M. D. (2016), Sensitivity analysis in MADM methods: Application of material selection. Engineering Economics, 27(4), 382–391.
46. YILDIRIM, B. F. ve ÖNDER, E. (2014), İşletmeciler, Mühendisler ve Yöneticiler için Operasyonel, Yönetsel ve Stratejik Problemlerin Çözümünde Çok Kriterli Karar Verme Yöntemleri. Bursa, Dora Yayınları.
47. YILDIZ, S. M. ve TÜFEKÇİ, Ö. (2010), Fitness Merkezi Müşterilerinin Hizmet Kalitesine Yönelik Beklenti ve Algılarının Değerlendirilmesi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13(24), 1–16.
48. YILDIZ, Y. (2012), Fitness Merkezlerinde Müşteri Tatmininin Müşteri Sadakati Üzerindeki Etkisinin Araştırılması. Selçuk Üniversitesi Beden Eğitimi ve Spor Bilim Dergisi, 14(2), 217–222.