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Dış Kaynak Kullanım Stratejisi Kapsamında Alt Yüklenicilerin Bulanık SWARA ve Bulanık MOORA Yöntemleriyle Değerlendirilmesi

Yıl 2022, Cilt: 13 Sayı: 2, 504 - 522, 21.06.2022

Öz

Dış kaynak kullanımı, tedarik zinciri yönetimi stratejilerinden biridir. İşletmeler bu strateji ile, temel yetenekleriyle ilgili faaliyetlere odaklanırlar. Diğer faaliyetleri ise dış tedarikçilere yaptırırlar. Böylece organizasyonlar yalınlaşır, odaklandıkları faaliyetleri daha iyi yapabilirler ve stratejik konulara daha fazla zaman ayırabilirler. Dış kaynak kullanımı birçok yönden rekabet avantajı sağlayabilir. Ancak, doğru kararlar verilmezse işletmeler için dezavantaja da dönüşebilir. Bu strateji ile rekabet avantajı sağlamak için anahtar faktörlerden biri, dış kaynak kullanımı için hangi tedarikçinin tercih edileceği konusunda doğru karar vermektir. Bu çalışma, üretim tesislerinin inşası, kurulumu ve modernizasyonu alanında faaliyet gösteren bir işletme için, alternatif alt yüklenicilerin değerlendirilmesini amaçlamaktadır. Örnek çalışmada değerlendirme kriterleri, az sayıda ikili karşılaştırma gerektirmesi nedeniyle pratik bir yöntem olan Bulanık SWARA ile ağırlıklandırılmıştır. Alt yüklenicilerin değerlendirilmesinde ise, güvenilir ve kolay uygulanabilir bir yöntem olarak öne çıkan Bulanık MOORA kullanılmıştır. Değerlendirme sonucunda en uygun alt yüklenici alternatifinin A1 olduğu belirlenmiştir.

Kaynakça

  • 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, 42(24), 9565–9573. https://doi.org/10.1016/j.eswa.2015.07.061
  • Ayçin, E. (2020). Çok Kriterli Karar Verme: Bilgisayar Uygulamalı Çözümler (2. basım). Nobel Akademik Yayıncılık.
  • Aydın, H., Okul, B., Ayvaz, B., Kuşakçı, A. O., & Kaçtıoğlu, S. (2016). Çok Kriterli Karar Verme Teknikleri ile Alt Yüklenici Seçimi: İnşaat Sektöründe Bir Uygulama. Bartın Üniversitesi İ.İ.B.F. Dergisi, 7(14), 29–44.
  • Aydın, S., & Kahraman, C. (2019). Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment. Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 1, 60–65. https://doi.org/10.2991/eusflat-19.2019.9
  • Baležentis, A., Baležentis, T., & Brauers, W. K. M. (2012a). MULTIMOORA-FG: A Multi Objective Decision Making Method for Linguistic Reasoning with an Application to Personnel Selection. Informatica, 23(2), 173–190. https://doi.org/10.15388/informatica.2012.355
  • Baležentis, A., Baležentis, T., & Brauers, W. K. M. (2012b). Personnel Selection Based on Computing with Words and fuzzy MULTIMOORA. Expert Systems with Applications, 39, 7961–7967. https://doi.org/10.1016/j.eswa.2012.01.100
  • Bedir, N., Yalçın, H., Özder, E. H., & Eren, T. (2018). Çok Kriterli Karar Verme Yöntemleriyle Taşeron Firma Seçimi: Kırıkkale İlinde Bir Uygulama. Academic Platform Journal of Engineering and Science, 6(2), 25–33. https://doi.org/10.21541/apjes.328325
  • Bera, A. K., Jana, D. K., Banerjee, D., & Nandy, T. (2020). Supplier Selection Using Extended IT2 Fuzzy TOPSIS and IT2 Fuzzy MOORA Considering Subjective and Objective Factors. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24(12), 8899–8915. https://doi.org/10.1007/s00500-019-04419-z
  • Brauers, Willem K. M., Baležentis, A., & Baležentis, T. (2011). Multimoora for the EU Member States Updated with Fuzzy Number Theory. Technological and Economic Development of Economy, 17(2), 259–290. https://doi.org/10.3846/20294913.2011.580566
  • Brauers, Willem Karel M., & Zavadskas, E. K. (2006). The MOORA Method and Its Application to Privatization in a Transition Economy. Control and Cybernetics, 35(2), 445–469.
  • Brauers, Willem Karel M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: A Method for Multi-Objective Optimization. Informatica, 23(1), 1–25.
  • Büyüközkan, G., & Göçer, F. (2017). An Extension of MOORA Approach for Group Decision Making Based on Interval Valued Intuitionistic Fuzzy Numbers in Digital Supply Chain. IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 1–6. https://doi.org/10.1109/IFSA-SCIS.2017.8023358
  • Çağlıyan, V., & Acar, Ö. E. (2019). Sürdürülebilirlik Çerçevesinde Tedarik Zinciri Yönetimi ve Dış Kaynak Kullanımı (1. baskı). Billur Yayınevi ve Basımevi.
  • Çakır, S. (2020). Subcontractor Selection in a Textile Company Using an Integrated Fuzzy MCDM Based Approach. Uluslararası İktisadi ve İdari İncelemeler Dergisi, Prof.Dr.T., 1–18. https://doi.org/10.18092/ulikidince.513503
  • Chakraborty, S. (2011). Applications of the MOORA Method for Decision Making in Manufacturing Environment. International Journal of Advanced Manufacturing Technology, 54(9–12), 1155–1166. https://doi.org/10.1007/s00170-010-2972-0
  • Chen, C.-T. (2000). Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment. Fuzzy Sets and Systems, 114, 1–9.
  • Cheng, M.-Y., & Huang, C.-C. (2012). Evaluating Subcontractor Performance Using Evolutionary Gaussian Process Inference Model. Life Science Journal, 9(2), 527–532.
  • Ecer, B. (2021). Kararsız Bulanık Dilsel Terimler Temelli SWARA Yöntemi ile Ülke Değerlendirme Kriterlerinin Ağırlıklandırılması. Içinde P. D. M. Kabak & D. D. B. Erdebilli (Ed.), Bulanık Çok Kriterli Karar Verme Yöntemleri - MS Excel ® ve Software Çözümlü Uygulamalar (1. basım, ss. 217–230). Nobel Akademik Yayıncılık.
  • Embleton, P. R., & Wright, P. C. (1998). A practical guide to successful outsourcing. Empowerment in Organizations, 6(3), 94–106.
  • Erer, B. (2018). İşletmelerde Dış Kaynak Kullanımının Nedenleri ve Riskleri. Social Sciences Studies Journal, 4(27), 6114–6124. https://doi.org/10.26449/sssj.1088
  • Garg, H., Vimala, J., Rajareega, S., Preethi, D., & Perez-Dominguez, L. (2022). Complex Intuitionistic Fuzzy soft SWARA - COPRAS Approach: An Application of ERP Software Selection. AIMS Mathematics, 7(4), 5895–5909.
  • Hadipour, H., Azizmohammadi, R., Mahmoudabadi, A., & Khoshnoud, M. (2014). Application of ELECTRE Method for Sub-Contractor Selection using Interval-Valued Fuzzy Sets - Case Study. Proceedings of the International Conference on Industrial Engineering and Operations Management, 713–722.
  • He, J., Huang, Z., Mishra, A. R., & Alrasheedi, M. (2021). Developing a New Framework for Conceptualizing the Emerging Sustainable Community-Based Tourism Using an Extended Interval-Valued Pythagorean Fuzzy SWARA-MULTIMOORA. Technological Forecasting & Social Change, 171, 120955. https://doi.org/10.1016/j.techfore.2021.120955
  • Heizer, J., & Render, B. (2017). Üretim Yönetimi - Sürdürülebilirlik ve Tedarik Zinciri Yönetimi (11. Baskıdan Çeviri, Çeviri Editörü: Prof Dr. Umut Rıfat TUZKAYA). Palme Yayıncılık.
  • Kabak, M., & Erdebilli, B. (2021). Bulanık Mantık, Bulanık Kümeler ve Yeni Tip Bulanık Kümeler. Içinde P. D. M.
  • Kabak & D. D. B. Erdebilli (Ed.), Bulanık Çok Kriterli Karar Verme Yöntemleri - MS Excel ® ve Software Çözümlü Uygulamalar (1. basım, ss. 1–14). Nobel Akademik Yayıncılık.
  • Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA Approach for ERP System Selection. Decision Science Letters, 1(1), 11–22. https://doi.org/10.5267/j.dsl.2012.07.001
  • Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of Rational Dispute Resolution Method by Applying New Step-Wise Weight Assessment Ratio Analysıs (SWARA). Journal of Business Economics and Management, 11(2), 243–258. https://doi.org/10.3846/jbem.2010.12
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018a). An extended step-wiseweight assessment ratio analysis with symmetric interval type-2 fuzzy sets for determining the subjective weights of criteria in multi-criteria decision-making problems. Symmetry, 10(4), 91. https://doi.org/10.3390/sym10040091
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018b). A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation. Information, 9(3)(68), 1–15. https://doi.org/10.3390/info9030068
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Evaluation of Subcontractors with Fuzzy SWARA And Fuzzy MOORA Methods Under Outsourcing Strategy

Yıl 2022, Cilt: 13 Sayı: 2, 504 - 522, 21.06.2022

Öz

Outsourcing is one of the supply chain management strategies. With this strategy, enterprises focus on activities related to their core abilities. Other activities are outsourced to external suppliers. In this way, organizations become leaner, they can do better their activities they focus on, and they can spend more time on strategic issues. Outsourcing can provide competitive advantage in many aspects. However, if the right decisions are not made, it can also turn into a disadvantage for enterprises. One of the key factors to achieve competitive advantage with this strategy is to make the right decision about which supplier to choose for outsourcing. This study aims to evaluate alternative subcontractors for an enterprise operating in the field of construction, establishment and modernization of production facilities. In the case study, the evaluation criteria were weighted with Fuzzy SWARA, which is a practical method because it requires few pairwise comparisons. Fuzzy MOORA, which stands out as a reliable and easily applicable method, was used in the evaluation of subcontractors. As a conclusion of the evaluation, it was determined that the most suitable subcontractor alternative was A1.

Kaynakça

  • 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, 42(24), 9565–9573. https://doi.org/10.1016/j.eswa.2015.07.061
  • Ayçin, E. (2020). Çok Kriterli Karar Verme: Bilgisayar Uygulamalı Çözümler (2. basım). Nobel Akademik Yayıncılık.
  • Aydın, H., Okul, B., Ayvaz, B., Kuşakçı, A. O., & Kaçtıoğlu, S. (2016). Çok Kriterli Karar Verme Teknikleri ile Alt Yüklenici Seçimi: İnşaat Sektöründe Bir Uygulama. Bartın Üniversitesi İ.İ.B.F. Dergisi, 7(14), 29–44.
  • Aydın, S., & Kahraman, C. (2019). Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment. Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 1, 60–65. https://doi.org/10.2991/eusflat-19.2019.9
  • Baležentis, A., Baležentis, T., & Brauers, W. K. M. (2012a). MULTIMOORA-FG: A Multi Objective Decision Making Method for Linguistic Reasoning with an Application to Personnel Selection. Informatica, 23(2), 173–190. https://doi.org/10.15388/informatica.2012.355
  • Baležentis, A., Baležentis, T., & Brauers, W. K. M. (2012b). Personnel Selection Based on Computing with Words and fuzzy MULTIMOORA. Expert Systems with Applications, 39, 7961–7967. https://doi.org/10.1016/j.eswa.2012.01.100
  • Bedir, N., Yalçın, H., Özder, E. H., & Eren, T. (2018). Çok Kriterli Karar Verme Yöntemleriyle Taşeron Firma Seçimi: Kırıkkale İlinde Bir Uygulama. Academic Platform Journal of Engineering and Science, 6(2), 25–33. https://doi.org/10.21541/apjes.328325
  • Bera, A. K., Jana, D. K., Banerjee, D., & Nandy, T. (2020). Supplier Selection Using Extended IT2 Fuzzy TOPSIS and IT2 Fuzzy MOORA Considering Subjective and Objective Factors. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24(12), 8899–8915. https://doi.org/10.1007/s00500-019-04419-z
  • Brauers, Willem K. M., Baležentis, A., & Baležentis, T. (2011). Multimoora for the EU Member States Updated with Fuzzy Number Theory. Technological and Economic Development of Economy, 17(2), 259–290. https://doi.org/10.3846/20294913.2011.580566
  • Brauers, Willem Karel M., & Zavadskas, E. K. (2006). The MOORA Method and Its Application to Privatization in a Transition Economy. Control and Cybernetics, 35(2), 445–469.
  • Brauers, Willem Karel M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: A Method for Multi-Objective Optimization. Informatica, 23(1), 1–25.
  • Büyüközkan, G., & Göçer, F. (2017). An Extension of MOORA Approach for Group Decision Making Based on Interval Valued Intuitionistic Fuzzy Numbers in Digital Supply Chain. IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 1–6. https://doi.org/10.1109/IFSA-SCIS.2017.8023358
  • Çağlıyan, V., & Acar, Ö. E. (2019). Sürdürülebilirlik Çerçevesinde Tedarik Zinciri Yönetimi ve Dış Kaynak Kullanımı (1. baskı). Billur Yayınevi ve Basımevi.
  • Çakır, S. (2020). Subcontractor Selection in a Textile Company Using an Integrated Fuzzy MCDM Based Approach. Uluslararası İktisadi ve İdari İncelemeler Dergisi, Prof.Dr.T., 1–18. https://doi.org/10.18092/ulikidince.513503
  • Chakraborty, S. (2011). Applications of the MOORA Method for Decision Making in Manufacturing Environment. International Journal of Advanced Manufacturing Technology, 54(9–12), 1155–1166. https://doi.org/10.1007/s00170-010-2972-0
  • Chen, C.-T. (2000). Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment. Fuzzy Sets and Systems, 114, 1–9.
  • Cheng, M.-Y., & Huang, C.-C. (2012). Evaluating Subcontractor Performance Using Evolutionary Gaussian Process Inference Model. Life Science Journal, 9(2), 527–532.
  • Ecer, B. (2021). Kararsız Bulanık Dilsel Terimler Temelli SWARA Yöntemi ile Ülke Değerlendirme Kriterlerinin Ağırlıklandırılması. Içinde P. D. M. Kabak & D. D. B. Erdebilli (Ed.), Bulanık Çok Kriterli Karar Verme Yöntemleri - MS Excel ® ve Software Çözümlü Uygulamalar (1. basım, ss. 217–230). Nobel Akademik Yayıncılık.
  • Embleton, P. R., & Wright, P. C. (1998). A practical guide to successful outsourcing. Empowerment in Organizations, 6(3), 94–106.
  • Erer, B. (2018). İşletmelerde Dış Kaynak Kullanımının Nedenleri ve Riskleri. Social Sciences Studies Journal, 4(27), 6114–6124. https://doi.org/10.26449/sssj.1088
  • Garg, H., Vimala, J., Rajareega, S., Preethi, D., & Perez-Dominguez, L. (2022). Complex Intuitionistic Fuzzy soft SWARA - COPRAS Approach: An Application of ERP Software Selection. AIMS Mathematics, 7(4), 5895–5909.
  • Hadipour, H., Azizmohammadi, R., Mahmoudabadi, A., & Khoshnoud, M. (2014). Application of ELECTRE Method for Sub-Contractor Selection using Interval-Valued Fuzzy Sets - Case Study. Proceedings of the International Conference on Industrial Engineering and Operations Management, 713–722.
  • He, J., Huang, Z., Mishra, A. R., & Alrasheedi, M. (2021). Developing a New Framework for Conceptualizing the Emerging Sustainable Community-Based Tourism Using an Extended Interval-Valued Pythagorean Fuzzy SWARA-MULTIMOORA. Technological Forecasting & Social Change, 171, 120955. https://doi.org/10.1016/j.techfore.2021.120955
  • Heizer, J., & Render, B. (2017). Üretim Yönetimi - Sürdürülebilirlik ve Tedarik Zinciri Yönetimi (11. Baskıdan Çeviri, Çeviri Editörü: Prof Dr. Umut Rıfat TUZKAYA). Palme Yayıncılık.
  • Kabak, M., & Erdebilli, B. (2021). Bulanık Mantık, Bulanık Kümeler ve Yeni Tip Bulanık Kümeler. Içinde P. D. M.
  • Kabak & D. D. B. Erdebilli (Ed.), Bulanık Çok Kriterli Karar Verme Yöntemleri - MS Excel ® ve Software Çözümlü Uygulamalar (1. basım, ss. 1–14). Nobel Akademik Yayıncılık.
  • Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA Approach for ERP System Selection. Decision Science Letters, 1(1), 11–22. https://doi.org/10.5267/j.dsl.2012.07.001
  • Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of Rational Dispute Resolution Method by Applying New Step-Wise Weight Assessment Ratio Analysıs (SWARA). Journal of Business Economics and Management, 11(2), 243–258. https://doi.org/10.3846/jbem.2010.12
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018a). An extended step-wiseweight assessment ratio analysis with symmetric interval type-2 fuzzy sets for determining the subjective weights of criteria in multi-criteria decision-making problems. Symmetry, 10(4), 91. https://doi.org/10.3390/sym10040091
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018b). A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation. Information, 9(3)(68), 1–15. https://doi.org/10.3390/info9030068
  • Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A New Hybrid Fuzzy MCDM Approach for Evaluation of Construction Equipment with Sustainability Considerations. Archives of Civil and Mechanical Engineering, 18(1), 32–49. https://doi.org/10.1016/j.acme.2017.04.011
  • Koçel, T. (2020). İşletme Yöneticiliği (18. Baskı). Beta Basım Yayım Dağıtım.
  • Kundakcı, N. (2019). Selection of Maintenance Strategy for a Manufacturing Company with Fuzzy MOORA Method. Proceedings of 2nd International Conference on Business, Management and Economics, 1–14. https://doi.org/10.33422/2nd.icbmeconf.2019.06.1028
  • Lahdhiri, M., Babay, A., & Jmali, M. (2021). Development of Subcontractor Selection Models Using Fuzzy and AHP Methods in the Apparel Industry Supply Chain. Autex Research Journal, 21(4), 413–427. https://doi.org/10.2478/aut-2020-0057
  • Lin, Y.-T., Lin, C.-L., Yu, H.-C., & Tzeng, G.-H. (2010). A Novel Hybrid MCDM Approach for Outsourcing Vendor Selection: A Case Study for a Semiconductor Company in Taiwan. Expert Systems with Applications, 37, 4796–4804. https://doi.org/10.1016/j.eswa.2009.12.036
  • Ma, M., Kandel, A., & Friedman, M. (2000). A new Approach for Defuzzification. Fuzzy Sets and Systems, 111, 351–356.
  • Mete, S. (2019). Assessing Occupational Risks in Pipeline Construction Using FMEA-based AHP-MOORA Integrated Approach Under Pythagorean Fuzzy Environment. Human and Ecological Risk Assessment: An International Journal, 25(7), 1645–1660. https://doi.org/10.1080/10807039.2018.1546115
  • Mishra, A. R., Rani, P., Pandey, K., Mardani, A., Streimikis, J., Streimikiene, D., & Alrasheedi, M. (2020). Novel Multi-Criteria Intuitionistic Fuzzy SWARA-COPRAS Approach for Sustainability Evaluation of the Bioenergy Production Process. Sustainability, 12(10), 4155. https://doi.org/10.3390/su12104155
  • Moniri, M. R., Alem Tabriz, A., Ayough, A., & Zandieh, M. (2020). Turnaround Project Risk Assessment Using Hybrid Fuzzy SWARA and EDAS Method: Case of Upstream Oil Process Industries in Iran. Journal of Engineering, Design and Technology. https://doi.org/10.1108/JEDT-07-2020-0287
  • Narayanamoorthy, S., Annapoorani, V., Kalaiselvan, S., & Kang, D. (2020). Hybrid Hesitant Fuzzy Multi-Criteria Decision Making Method: A Symmetric Analysis of the Selection of the Best Water Distribution System. Symmetry, 12(12), 2096. https://doi.org/10.3390/sym12122096
  • Paksoy, T., Yapıcı Pehlivan, N., & Özceylan, E. (2013). Bulanık Küme Teorisi (1. baskı). Nobel Akademik Yayıncılık.
  • Pérez-Domínguez, L., Alvarado-Iniesta, A., Rodríguez-Borbón, I., & Vergara-Villegas, O. (2015). Intuitionistic Fuzzy MOORA for Supplier Selection. DYNA, 82(191), 34–41. https://doi.org/10.15446/dyna.v82n191.51143
  • Pérez-Domínguez, L., Rodríguez-Picón, L. A., Alvarado-Iniesta, A., Luviano Cruz, D., & Xu, Z. (2018). MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making. Complexity, 2018, 2602376. https://doi.org/10.1155/2018/2602376
  • Polat, G. (2016). Subcontractor Selection Using The Integration of the AHP and PROMETHEE Methods. Journal of Civil Engineering and Management, 22(8), 1042–1054. https://doi.org/10.3846/13923730.2014.948910
  • Ramadhani, M., & Handayati, Y. (2020). Application of Subcontractor Selection Using Analytical Hierarchy Process Method in Ritz Garment. International Conference on Economics, Business and Economic Education 2019, KnE Social Sciences, 423–445. https://doi.org/10.18502/kss.v4i6.6617
  • Ramya, L., Narayanamoorthy, S., Kalaiselvan, S., Kureethara, J. V., Annapoorani, V., & Kang, D. (2021). A Congruent Approach to Normal Wiggly Interval-Valued Hesitant Pythagorean Fuzzy Set for Thermal Energy Storage Technique Selection Applications. International Journal of Fuzzy Systems, 23, 1581–1599. https://doi.org/10.1007/s40815-021-01057-2
  • Rani, P., Mishra, A. R., Krishankumar, R., Mardani, A., Cavallaro, F., Ravichandran, K. S., & Balasubramanian, K. (2020). Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS). Symmetry, 12(7), 1152.
  • Rani, P., Mishra, A. R., Mardani, A., Cavallaro, F., Štreimikiene, D., & Khan, S. A. R. (2020). Pythagorean Fuzzy SWARA-VIKOR Framework for Performance Evaluation of Solar Panel Selection. Sustainability, 12(10), 4278. https://doi.org/10.3390/su12104278
  • Rençber, Ö. F., & Kazan, H. (2014). Büyük Çaplı Projelerde Taşeron Firma Seçiminde Teklif Değerlendirme : Analitik Hiyerarşi Süreci Yöntemi İle Karar Verme. International Journal of Social Science Research, 3(4), 11–24.
  • Sen, D. K., Datta, S., & Mahapatra, S. S. (2018). Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective. Benchmarking, 25(2), 545–574. https://doi.org/10.1108/BIJ-11-2016-0172
  • Septian, A. (2020). Subcontractor Selection Review Industry XYZ With Analytic Network Process (ANP) Method. IPTEK Journal of Proceedings Series, 6, 558–562.
  • Sevim, Ş., Akdemir, A., & Vatansever, K. (2008). Lojistik Faaliyetlerinde Dış Kaynak Kullanan İşletmelerin Aldıkları Hizmetlerin Kalitesinin Değerlendirilmesine Yönelik Bir İnceleme. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi, 13(1), 1–27.
  • Sreedevi R., & Tanwar, T. (2018). Outsourcing – A Review for Research and Practical Applications. International Journal of Business and Economics Research, 7(1), 20–24. https://doi.org/10.11648/j.ijber.20180701.13
  • Stanujkic, D., Karabasevic, D., & Zavadskas, E. K. (2015). A framework for the selection of a packaging design based on the SWARA method. Engineering Economics, 26(2), 181–187. https://doi.org/10.5755/j01.ee.26.2.8820
  • Taş, M. A., Çakır, E., & Ulukan, Z. (2021). Spherical Fuzzy SWARA-MARCOS Approach for Green Supplier Selection. 3C Tecnología. Glosas de innovación aplicadas a la pyme, Mayıs 2021(Special Issue), 115–133.
  • Turan, A. (2014). Temel Yetenek ve Dış Kaynaklardan Yararlanma Tekniklerine Felsefik Bir Bakış: Dinamik Beceriler ve İş Modeli Yaklaşımlarıyla İlişkilendirme. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5(7), 147–170.
  • Vatansever, K., & Uluköy, M. (2013). Kurumsal Kaynak Planlaması Sistemlerinin Bulanık AHP ve Bulanık MOORA Yöntemleriyle Seçimi: Üretim Sektöründe Bir Uygulama. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 11(2), 274–293. https://doi.org/10.18026/cbusos.34812
Toplam 57 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Halil Savaş 0000-0001-7942-5527

İrfan Yacan 0000-0002-1640-2317

Yayımlanma Tarihi 21 Haziran 2022
Gönderilme Tarihi 21 Ekim 2021
Yayımlandığı Sayı Yıl 2022 Cilt: 13 Sayı: 2

Kaynak Göster

APA Savaş, H., & Yacan, İ. (2022). Dış Kaynak Kullanım Stratejisi Kapsamında Alt Yüklenicilerin Bulanık SWARA ve Bulanık MOORA Yöntemleriyle Değerlendirilmesi. Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, 13(2), 504-522. https://doi.org/10.36362/gumus.1012877