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TÜRKİYE’DEKİ İMALAT SANAYİ SEKTÖRLERİNİN PROMETHEE MULTIMOORA VE SMAA-2 YÖNTEMLERİYLE SIRALANMASI

Yıl 2016, Cilt: 27 Sayı: 2, 28 - 44, 28.06.2016

Öz

Son yıllarda sanayi sektörü, gelişmiş ve gelişmekte olan birçok ülkenin rekabet politikalarını etkiler hale gelmiştir. Özelikle yaşanan ekonomik krizler sonrasında, imalat sanayinin önemi yeniden vurgulanmıştır. Çünkü üretimin olmadığı bir ortamda, yalnızca hizmet sektörünün varlığı ile rekabetçi bir ekonomiden söz etmek mümkün değildir. Bu çalışmada, Türkiye’deki imalat sanayi sektörlerinin, çok kriterli karar verme yöntemlerinden PROMETHEE, MULTIMOORA ve SMAA-2 yöntemleriyle ortalama çalışan sayısı, katma değer, istihdam payları, işyeri sayısı gibi farklı rekabet göstergeleri bazında sıralanması hedeflenmiş ve sonuçlar analiz edilmiştir.

Destekleyen Kurum

TÜBİTAK

Proje Numarası

2211-A

Teşekkür

2211-A Genel Yurt İçi Doktora Burs Programı kapsamındaki desteklerinden dolayı Tübitak’a teşekkür ederiz.

Kaynakça

  • 1. Achebo, J., Odinikuku, W. E. 2015. “Optimization of Gas Metal Arc Welding Process Parameters Using Standard Deviation (SDV) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA),” Journal of Minerals and Materials Characterization and Engineering, vol. 3 (4), p. 298-308.
  • 2. Akan, Y., Çalmaşur, G., 2011. “Etkinliğin Hesaplanmasında Veri Zarflama Analizi ve Stokastik Sınır Yaklaşımı Yöntemlerinin Karşılaştırılması (Tra1 Alt Bölgesi Üzerine Bir Uygulama),” Atatürk Ü. IIBF Dergisi, 10. Ekonometri ve İstatistik Sempozyumu Özel Sayısı, s. 13-32.
  • 3. Akıncılar, A., Dağdeviren, M., 2014. “A Hybrid Multi-Criteria Decision Making Model to Evaluate Hotel Websites,” International Journal of Hospitality Management, vol. 36, p. 263-271.
  • 4. Akkaya, G., Turanoğlu, B., Öztaş, S. 2015. “An Integrated Fuzzy AHP and Fuzzy MOORA Approach to the Problem of Industrial Engineering Sector Choosing,” Expert Systems with Applications, vol. 42 (24), p. 9565-9573.
  • 5. Altuntas, S., Dereli, T., Yılmaz, MK., 2015. “Evaluation of Excavator Technologies: Application of Data Fusion Based MULTIMOORA Methods,” Journal of Civil Engineering and Management, vol. 21 (8), p. 977-997.
  • 6. Ayaş, N., Çeştepe, H., 2010. “Dış Ticaretin İstihdam Üzerindeki Etkileri: Türk İmalat Sanayi Örneği, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi,” vol. 15 (2), p. 259-281.
  • 7. Ayaş, N., 2011. “Türk İmalat Sanayi Sektörlerinin Stratejik Önem Analizi,” Ege Akademik Bakış, cilt 11 (4), s. 525-535.
  • 8. Baležentis, A., Valkauskas, R., Baležentis, T. 2010. “Evaluating Situation of Lithuania in the European Union: Structural Indicators and Multimoora Method,” Technological and Economic Development of Economy, vol. 4, p. 578-602.
  • 9. Brauers, W. K. M., Ginevicius, R., 2009. “Robustness in Regional Development Studies,” The case of Lithuania, Journal of Business Economics and Management, vol. 10 (2), p. 121-140.
  • 10. Brauers, W. K. M., Ginevicius, R., 2010. “The Economy of The Belgian Regions Tested with MULTIMOORA”, Journal of Business Economics and Management, vol. 11 (2), p. 173-209.
  • 11. Brauers, W. K. M., Zavadskas, E. K., 2006. “The MOORA Method and its Application to Privatization in a Transition Economy,” Control and Cybernetics, vol. 35 (2), p. 445-469.
  • 12. Brauers, W. K. M., Zavadskas, E. K., 2008. “Multi-Objective Optimization in Location Theory with a Simulation for a Department Store,” Transformations in Business & Economics vol. 7 (3), p. 163-183.
  • 13. Brauers, W. K. M., Zavadskas, E. K., Peldschus, F. ve Turskis, Z., 2008. “Multi-Objective Decision-Making for Road Design,” Transport vol. 23 (3), p. 183-193.
  • 14. Brauers, W. K. M., Zavadskas, E. K. 2009. “Robustness of the Multiobjective MOORA Method with a Test for the Facilities Sector,” Technological and Economic Development of Economy: Baltic J on Sustainability, vol. 15 (2), p. 352-375.
  • 15. Brauers, W. K. M., Zavadskas E. K. 2010. “Project Management by MULTIMOOORA as an Instrument for Transition Economies,” Technological and Economic Development of Economy, vol. 16 (1), p. 5-24.
  • 16. Brauers, W. K. M., Zavadskas, E. K. 2011. “MULTIMOORA Optimization Used to Decide on a Bank Loan to Buy Property,” Technol. Econ. Dev. Econ. vol. 17 (1), p. 174-88.
  • 17. Chakraborty, S. 2011. “Application of the MOORA Method for Decision Making in Manufacturing Environment,” The International Journal of Advanced Manufacturing Technology, vol. 54 (9-12), p. 1155-1166.
  • 18. Çalış, A., Özçelik G., Gencer, C. (2015). “Türkiye’deki İmalat Sanayi Sektörlerinin Çok Kriterli Karar Verme Yöntemleri İle Değerlendirilmesi,” Uluslararası Katılımlı Üretim Araştırmaları Sempozyumu, 14-16 Ekim, Ege Üniversitesi, İzmir.
  • 19. Durbach, I., Lahdelma, R., Salminen, P., 2014. “The Analytic Hierarchy Process with Stochastic Judgements,” European Journal of Operational Research, vol. 238 (2), p. 552-559.
  • 20. Dünya Gazetesi, 2015. “Savunma Sanayiine Bakış”,http://www.istekobi.com.tr/sektorler/savunma-sanayiine-bakis-s27/sektore-bakis/savunma-sanayiine-bakis-b27.aspx, son erişim tarihi: 25.01.2016.
  • 21. Ehrgott, M., Figueira, J. R., Greco, S. (Eds.) 2010. Trends in Multiple Criteria Decision Analysis, Springer, New York, USA.
  • 22. Karabay, S., Köse, E., Kabak, M. 2014. “Stokastik Çok Kriterli Kabul Edilebilirlik Analizi ile Bir Kamu Kurumu için Tesis Yeri Seçimi,” Ege Akademik Bakış, cilt 14 (3), s. 361-369.
  • 23. Karande, P., Chakraborty, S. 2012. “Application of Multi-objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Materials Selection,” Materials and Design, vol. 37, p. 317-324.
  • 24. Kracka, M., Brauers, W. K. M., Zavadskas, E. K. 2010. “Ranking Heating Losses in a Building by Applying the MULTIMOORA,” ISSN 1392 – 2785 Inzinerine Ekonomika Engineering Economics, vol. 21 (4), p. 352-359.
  • 25. Lahdelma, R., Hokkanen J., Salminen, P., 1998. “SMAA-Stochastic Multiobjective Acceptability Analysis,” European Journal of Operational Research, vol.106 (1), p. 137-143.
  • 26. Lahdelma, R., Salminen, P. 2001. “SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making,” Operations Research, vol. 49 (3), p. 444-454.
  • 27. Macharis, C., Springael, J., Brucker, K. D., 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, vol. 153 (2), p. 307-317.
  • 28. Makkonen, S., Lahdelma, R., Asell, A. M., Jokinen, A. 2003. “Multi Criteria Decision Support in the Liberalized Energy Market,” Journal of Multi Criteria Decision Analysis, vol. 12 (1), p. 27-42.
  • 29. Okul, D. 2012. "Stokastik Çok Kriterli Karar Vermede Yeni Bir Yöntem: SMAA-TOPSİS ve Bir Uygulama," Yüksek Lisans Tezi, Savunma Bilimleri Enstitüsü, Kara Harp Okulu.
  • 30. Okul, D., Gencer, C., Aydoğan, E. K. 2013. “A Method Based On SMAA-TOPSIS For Stochastic Multi-Criteria Decision Making and a Real-World Application,” International Journal of Information Technology & Decision Making, vol. 13 (5), p. 1-22.
  • 31. Özçelik, G., Aydoğan, E. K., Gencer C. 2014. “A Hybrid Moora-Fuzzy Algorithm for Special Education and Rehabilitation Center Selection,” Journal of Military and Information Science, vol. 2 (3), p. 53-61.
  • 32. Patel, J. D., Maniya, K. D. 2015. “Application of AHP/MOORA Method to Select Wire Cut Electrical Discharge Machining Process Parameter to Cut EN31 Alloys Steel with Brasswire,” Materials Today: Proceedings, vol. 2 (4-5), p. 2496–2503.
  • 33. Stanujkic, D., Magdalinovic, N., Jovanovic, R., Stojanovic, S. 2012. “An Objective Multi-Criteria Approach to Optimization Using MOORA Method and Interval Grey Numbers,” Technological and Economic Development of Economy, vol. 18 (2), p. 331-363.
  • 34. T.C. Gümrük ve Ticaret Bakanlığı. 2013. Risk Yönetimi ve Kontrol Genel Müdürlüğü, Ekonomik Analiz ve Değerlendirme Dairesi, Diğer Ulaşım Araçları Sektörü Raporu.
  • 35. Taha, Z., Rostam, S., 2012. “A Hybrid Fuzzy AHP-PROMETHEE Decision Support System for Machine Tool Selection in Flexible Manufacturing Cell,” Journal of Intelligent Manufacturing, vol. 23 (6), p. 2137-2149.
  • 36. Tervonen, T., Lahdelma, R., 2007. “Implementing Stochastic Multicriteria Acceptability Analysis,” European Journal of Operational Research, vol. 178 (2), p. 500-513.
  • 37. Turcksin, L., Bernardini, A., Macharis, C. 2011. “A Combined AHP-PROMETHEE Approach for Selecting the Most Appropriate Policy Scenario to Stimulate a Clean Vehicle Fleet,” Procedia - Social and Behavioral Sciences, vol. 20, p. 954-965.
  • 38. TÜSİAD. 2014. İmalat Sanayi Sektörleri Rekabet Göstergeleri Raporu.
  • 39. Wang, J. J., Yang, D. L. 2007. “Using a Hybrid Multi-Criteria Decision aid Method for Information Systems Outsourcing,” Computers & Operation Research, vol. 34 (12), p. 3691-3700.
  • 40. Yalcin, N., Bayrakdaroglu, A., Kahraman, C. 2012. “Application of Fuzzy Multi-Criteria Decision Making Methods for Financial Performance Evaluation of Turkish Manufacturing Industries,” Expert Systems with Applications, vol. 39 (1), p. 350-364.

RANKING OF MANUFACTURING INDUSTRY SECTORS IN TURKEY WITH THE HELP OF PROMETHEE MULTIMOORA AND SMAA-2 METHODS

Yıl 2016, Cilt: 27 Sayı: 2, 28 - 44, 28.06.2016

Öz

In recent years, industrial sector has affected the competition policies of both developed and developing countries. Especially after the economic crises, the importance of the manufacturing industry has been emphasized again because it is impossible to talk about a competitive economy just in the presence of the service sector without production sector. In this study, it is aimed to rank the manufacturing industry sectors in Turkey based on different competition indicators such as average number of employees, value added, employment shares, number of workplace by using  PROMETHEE, MULTIMOORA and SMAA-2 which are multi criteria decision making methods and the results are analyzed.

Proje Numarası

2211-A

Kaynakça

  • 1. Achebo, J., Odinikuku, W. E. 2015. “Optimization of Gas Metal Arc Welding Process Parameters Using Standard Deviation (SDV) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA),” Journal of Minerals and Materials Characterization and Engineering, vol. 3 (4), p. 298-308.
  • 2. Akan, Y., Çalmaşur, G., 2011. “Etkinliğin Hesaplanmasında Veri Zarflama Analizi ve Stokastik Sınır Yaklaşımı Yöntemlerinin Karşılaştırılması (Tra1 Alt Bölgesi Üzerine Bir Uygulama),” Atatürk Ü. IIBF Dergisi, 10. Ekonometri ve İstatistik Sempozyumu Özel Sayısı, s. 13-32.
  • 3. Akıncılar, A., Dağdeviren, M., 2014. “A Hybrid Multi-Criteria Decision Making Model to Evaluate Hotel Websites,” International Journal of Hospitality Management, vol. 36, p. 263-271.
  • 4. Akkaya, G., Turanoğlu, B., Öztaş, S. 2015. “An Integrated Fuzzy AHP and Fuzzy MOORA Approach to the Problem of Industrial Engineering Sector Choosing,” Expert Systems with Applications, vol. 42 (24), p. 9565-9573.
  • 5. Altuntas, S., Dereli, T., Yılmaz, MK., 2015. “Evaluation of Excavator Technologies: Application of Data Fusion Based MULTIMOORA Methods,” Journal of Civil Engineering and Management, vol. 21 (8), p. 977-997.
  • 6. Ayaş, N., Çeştepe, H., 2010. “Dış Ticaretin İstihdam Üzerindeki Etkileri: Türk İmalat Sanayi Örneği, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi,” vol. 15 (2), p. 259-281.
  • 7. Ayaş, N., 2011. “Türk İmalat Sanayi Sektörlerinin Stratejik Önem Analizi,” Ege Akademik Bakış, cilt 11 (4), s. 525-535.
  • 8. Baležentis, A., Valkauskas, R., Baležentis, T. 2010. “Evaluating Situation of Lithuania in the European Union: Structural Indicators and Multimoora Method,” Technological and Economic Development of Economy, vol. 4, p. 578-602.
  • 9. Brauers, W. K. M., Ginevicius, R., 2009. “Robustness in Regional Development Studies,” The case of Lithuania, Journal of Business Economics and Management, vol. 10 (2), p. 121-140.
  • 10. Brauers, W. K. M., Ginevicius, R., 2010. “The Economy of The Belgian Regions Tested with MULTIMOORA”, Journal of Business Economics and Management, vol. 11 (2), p. 173-209.
  • 11. Brauers, W. K. M., Zavadskas, E. K., 2006. “The MOORA Method and its Application to Privatization in a Transition Economy,” Control and Cybernetics, vol. 35 (2), p. 445-469.
  • 12. Brauers, W. K. M., Zavadskas, E. K., 2008. “Multi-Objective Optimization in Location Theory with a Simulation for a Department Store,” Transformations in Business & Economics vol. 7 (3), p. 163-183.
  • 13. Brauers, W. K. M., Zavadskas, E. K., Peldschus, F. ve Turskis, Z., 2008. “Multi-Objective Decision-Making for Road Design,” Transport vol. 23 (3), p. 183-193.
  • 14. Brauers, W. K. M., Zavadskas, E. K. 2009. “Robustness of the Multiobjective MOORA Method with a Test for the Facilities Sector,” Technological and Economic Development of Economy: Baltic J on Sustainability, vol. 15 (2), p. 352-375.
  • 15. Brauers, W. K. M., Zavadskas E. K. 2010. “Project Management by MULTIMOOORA as an Instrument for Transition Economies,” Technological and Economic Development of Economy, vol. 16 (1), p. 5-24.
  • 16. Brauers, W. K. M., Zavadskas, E. K. 2011. “MULTIMOORA Optimization Used to Decide on a Bank Loan to Buy Property,” Technol. Econ. Dev. Econ. vol. 17 (1), p. 174-88.
  • 17. Chakraborty, S. 2011. “Application of the MOORA Method for Decision Making in Manufacturing Environment,” The International Journal of Advanced Manufacturing Technology, vol. 54 (9-12), p. 1155-1166.
  • 18. Çalış, A., Özçelik G., Gencer, C. (2015). “Türkiye’deki İmalat Sanayi Sektörlerinin Çok Kriterli Karar Verme Yöntemleri İle Değerlendirilmesi,” Uluslararası Katılımlı Üretim Araştırmaları Sempozyumu, 14-16 Ekim, Ege Üniversitesi, İzmir.
  • 19. Durbach, I., Lahdelma, R., Salminen, P., 2014. “The Analytic Hierarchy Process with Stochastic Judgements,” European Journal of Operational Research, vol. 238 (2), p. 552-559.
  • 20. Dünya Gazetesi, 2015. “Savunma Sanayiine Bakış”,http://www.istekobi.com.tr/sektorler/savunma-sanayiine-bakis-s27/sektore-bakis/savunma-sanayiine-bakis-b27.aspx, son erişim tarihi: 25.01.2016.
  • 21. Ehrgott, M., Figueira, J. R., Greco, S. (Eds.) 2010. Trends in Multiple Criteria Decision Analysis, Springer, New York, USA.
  • 22. Karabay, S., Köse, E., Kabak, M. 2014. “Stokastik Çok Kriterli Kabul Edilebilirlik Analizi ile Bir Kamu Kurumu için Tesis Yeri Seçimi,” Ege Akademik Bakış, cilt 14 (3), s. 361-369.
  • 23. Karande, P., Chakraborty, S. 2012. “Application of Multi-objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Materials Selection,” Materials and Design, vol. 37, p. 317-324.
  • 24. Kracka, M., Brauers, W. K. M., Zavadskas, E. K. 2010. “Ranking Heating Losses in a Building by Applying the MULTIMOORA,” ISSN 1392 – 2785 Inzinerine Ekonomika Engineering Economics, vol. 21 (4), p. 352-359.
  • 25. Lahdelma, R., Hokkanen J., Salminen, P., 1998. “SMAA-Stochastic Multiobjective Acceptability Analysis,” European Journal of Operational Research, vol.106 (1), p. 137-143.
  • 26. Lahdelma, R., Salminen, P. 2001. “SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making,” Operations Research, vol. 49 (3), p. 444-454.
  • 27. Macharis, C., Springael, J., Brucker, K. D., 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, vol. 153 (2), p. 307-317.
  • 28. Makkonen, S., Lahdelma, R., Asell, A. M., Jokinen, A. 2003. “Multi Criteria Decision Support in the Liberalized Energy Market,” Journal of Multi Criteria Decision Analysis, vol. 12 (1), p. 27-42.
  • 29. Okul, D. 2012. "Stokastik Çok Kriterli Karar Vermede Yeni Bir Yöntem: SMAA-TOPSİS ve Bir Uygulama," Yüksek Lisans Tezi, Savunma Bilimleri Enstitüsü, Kara Harp Okulu.
  • 30. Okul, D., Gencer, C., Aydoğan, E. K. 2013. “A Method Based On SMAA-TOPSIS For Stochastic Multi-Criteria Decision Making and a Real-World Application,” International Journal of Information Technology & Decision Making, vol. 13 (5), p. 1-22.
  • 31. Özçelik, G., Aydoğan, E. K., Gencer C. 2014. “A Hybrid Moora-Fuzzy Algorithm for Special Education and Rehabilitation Center Selection,” Journal of Military and Information Science, vol. 2 (3), p. 53-61.
  • 32. Patel, J. D., Maniya, K. D. 2015. “Application of AHP/MOORA Method to Select Wire Cut Electrical Discharge Machining Process Parameter to Cut EN31 Alloys Steel with Brasswire,” Materials Today: Proceedings, vol. 2 (4-5), p. 2496–2503.
  • 33. Stanujkic, D., Magdalinovic, N., Jovanovic, R., Stojanovic, S. 2012. “An Objective Multi-Criteria Approach to Optimization Using MOORA Method and Interval Grey Numbers,” Technological and Economic Development of Economy, vol. 18 (2), p. 331-363.
  • 34. T.C. Gümrük ve Ticaret Bakanlığı. 2013. Risk Yönetimi ve Kontrol Genel Müdürlüğü, Ekonomik Analiz ve Değerlendirme Dairesi, Diğer Ulaşım Araçları Sektörü Raporu.
  • 35. Taha, Z., Rostam, S., 2012. “A Hybrid Fuzzy AHP-PROMETHEE Decision Support System for Machine Tool Selection in Flexible Manufacturing Cell,” Journal of Intelligent Manufacturing, vol. 23 (6), p. 2137-2149.
  • 36. Tervonen, T., Lahdelma, R., 2007. “Implementing Stochastic Multicriteria Acceptability Analysis,” European Journal of Operational Research, vol. 178 (2), p. 500-513.
  • 37. Turcksin, L., Bernardini, A., Macharis, C. 2011. “A Combined AHP-PROMETHEE Approach for Selecting the Most Appropriate Policy Scenario to Stimulate a Clean Vehicle Fleet,” Procedia - Social and Behavioral Sciences, vol. 20, p. 954-965.
  • 38. TÜSİAD. 2014. İmalat Sanayi Sektörleri Rekabet Göstergeleri Raporu.
  • 39. Wang, J. J., Yang, D. L. 2007. “Using a Hybrid Multi-Criteria Decision aid Method for Information Systems Outsourcing,” Computers & Operation Research, vol. 34 (12), p. 3691-3700.
  • 40. Yalcin, N., Bayrakdaroglu, A., Kahraman, C. 2012. “Application of Fuzzy Multi-Criteria Decision Making Methods for Financial Performance Evaluation of Turkish Manufacturing Industries,” Expert Systems with Applications, vol. 39 (1), p. 350-364.
Toplam 40 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Aslı Çalış Bu kişi benim

Gökhan Özçelik

Cevriye Gencer

Proje Numarası 2211-A
Yayımlanma Tarihi 28 Haziran 2016
Kabul Tarihi 25 Mart 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 27 Sayı: 2

Kaynak Göster

APA Çalış, A., Özçelik, G., & Gencer, C. (2016). TÜRKİYE’DEKİ İMALAT SANAYİ SEKTÖRLERİNİN PROMETHEE MULTIMOORA VE SMAA-2 YÖNTEMLERİYLE SIRALANMASI. Endüstri Mühendisliği, 27(2), 28-44.

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