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Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods

Yıl 2025, Cilt: 25 Sayı: 1, 306 - 333, 25.03.2025
https://doi.org/10.11616/asbi.1585792

Öz

This study aims to develop a framework for the selection of sustainable third-party logistics service providers (3PLSPs) for the pharmaceutical industry by developing an integrated decision-making framework based on fuzzy SWARA and fuzzy MAIRCA methods. To achieve this goal, 21 selection criteria were determined within the scope of economic, infrastructure, environmental, and social basic dimensions through literature review and expert opinions. Then, the weights of these criteria were calculated using the fuzzy SWARA method. Finally, alternative sustainable 3PLSPs were ranked using the fuzzy MAIRCA method. The findings indicate that the most crucial criteria for selecting sustainable 3PLSPs are financial stability, industry-specific knowledge and experience, environmental protection, and worker health and safety, corresponding to economic, infrastructure, environmental, and social dimensions, respectively.

Kaynakça

  • Agarwal, S., Kant, R., and Shankar, R. (2020). Evaluating Solutions to Overcome Humanitarian Supply Chain Management Barriers: A Hybrid Fuzzy SWARA–Fuzzy WASPAS Approach. International Journal of Disaster Risk Reduction, 51, 101838.
  • Aguezzoul, A. (2014). Third-Party Logistics Selection Problem: A Literature Review on Criteria and Methods. Omega, 49, p.69-78.
  • Agyabeng-Mensah, Y., Ahenkorah, E., Afum, E., Dacosta, E., and Tian, Z. (2020). Green Warehousing, Logistics Optimization, Social Values and Ethics and Economic Performance: The Role of Supply Chain Sustainability. The International Journal of Logistics Management, 31(3), p.549-574.
  • Ak, S. (2024). Türk İlaç Politikalarına Dair Bir Araştırma. Turkish Journal of Healthy Aging Medicine, 1(2), p.1-23.
  • Akhtar, M. (2023). Decision Model for Prioritizing Logistics Service Provider Selection Criteria with Sustainability Consideration in The Manufacturing Industry. International Journal of Integrated Supply Management, 16(2), p.107-130.
  • Aldakhil, A. M., Nassani, A. A., Awan, U., Abro, M. M. Q., and Zaman, K. (2018). Determinants of Green Logistics in BRICS Countries: An Integrated Supply Chain Model for Green Business. Journal of Cleaner Production, 195, p.861-868.
  • Ali, A. H., Melkonyan, A., Noche, B., and Gruchmann, T. (2021). Developing A Sustainable Logistics Service Quality Scale for Logistics Service Providers in Egypt. Logistics, 5(2), 21.
  • Aytekin, A., Görçün, Ö. F., Ecer, F., Pamucar, D., and Karamaşa, Ç. (2023). Evaluation of The Pharmaceutical Distribution and Warehousing Companies Through an Integrated Fermatean Fuzzy Entropy-WASPAS Approach. Kybernetes, 52(11), p.5561-5592.
  • Baah, C., Amponsah, K. T., Issau, K., Ofori, D., Acquah, I. S. K., and Agyeman, D. O. (2021). Examining the Interconnections Between Sustainable Logistics Practices, Environmental Reputation and Financial Performance: A Mediation Approach. Vision, 25(1), p.47-64.
  • Baas, J., Schotten, M., Plume, A., Côté, G., and Karimi, R. (2020). Scopus As A Curated, High-Quality Bibliometric Data Source for Academic Research in Quantitative Science Studies. Quantitative Science Studies, 1(1), p.377-386.
  • Barker, J. M., Gibson, A. R., Hofer, A. R., Hofer, C., Moussaoui, I., and Scott, M. A. (2021). A Competitive Dynamics Perspective on The Diversification of Third-Party Logistics Providers’ Service Portfolios. Transportation Research Part E: Logistics and Transportation Review, 146, 102219.
  • Boral, S., Howard, I., Chaturvedi, S. K., McKee, K., and Naikan, V. N. A. (2020). An Integrated Approach for Fuzzy Failure Modes and Effects Analysis Using Fuzzy AHP And Fuzzy MAIRCA. Engineering Failure Analysis, 108, 104195.
  • Boztepe, R., and Çetin, O. (2020). Sustainable Warehousing: Selecting the Best Warehouse for Solar Transformation. Alphanumeric Journal, 8(1), p.97-110.
  • Carboncare. (2023). Climate Change: Responsibility of Transport and Logistics. https://www.carboncare.org/en/climate- change#:~:text=The%20Responsibility%20of%20Transport%20and,24%25%20of%20global%20CO2%20emissions. (Accessed 11.10. 2024).
  • Çelik Teker, S. (2017). The Implementation of Analytic Hierarchy Process in Pharmaceutical Industry for Selection Process of 3rd Party Logistics Service Provider. Öneri Dergisi, 12(48), p.107-124.
  • Chang, D. Y. (1996). Applications of The Extent Analysis Method on Fuzzy AHP. European Journal of Operational Research, 95(3), p.649-655.
  • Chen, L., Duan, D., Mishra, A. R., & Alrasheedi, M. (2022). Sustainable Third-Party Reverse Logistics Provider Selection to Promote Circular Economy Using New Uncertain Interval-Valued Intuitionistic Fuzzy-Projection Model. Journal of Enterprise Information Management, 35(4/5), p.955-987.
  • Choudhury, N., Raut, R. D., Gardas, B. B., Kharat, M. G., and Ichake, S. (2018). Evaluation and Selection of Third-Party Logistics Services Providers Using Data Envelopment Analysis: A Sustainable Approach. International Journal of Business Excellence, 14(4), p.427-453.
  • Dadashpour, I., and Bozorgi-Amiri, A. (2020). Evaluation and Ranking of Sustainable Third-Party Logistics Providers Using The D-Analytic Hierarchy Process. International Journal of Engineering, 33(11), p.2233-2244.
  • Froio, P. J., and Bezerra, B. S. (2021). Environmental Sustainability Initiatives Adopted by Logistics Service Providers in A Developing Country–An Overview in The Brazilian Context. Journal of Cleaner Production, 304, 126989.
  • García Mestanza, J., and Bakhat, R. (2021). A fuzzy AHP-MAIRCA Model for Overtourism Assessment: The case of Malaga Province. Sustainability, 13(11), 6394.
  • Gardas, B. B., Raut, R. D., and Narkhede, B. E. (2019). Analysing the 3PL Service Provider’s Evaluation Criteria Through A Sustainable Approach. International Journal of Productivity and Performance Management, 68(5), p.958-980.
  • Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., and Antucheviciene, J. (2018). A New Hybrid Fuzzy MCDM Approach for Evaluation of Construction Equipment with Sustainability Considerations. Archives of Civil and Mechanical Engineering, 18, p.32-49.
  • Govindan, K., Agarwal, V., Darbari, J. D., and Jha, P. C. (2019). An Integrated Decision-Making Model for The Selection of Sustainable Forward and Reverse Logistic Providers. Annals of Operations Research, 273, p.607-650.
  • Gul, M., and Ak, M. F. (2020). Assessment of Occupational Risks from Human Health and Environmental Perspectives: A New Integrated Approach and Its Application Using Fuzzy BWM And Fuzzy MAIRCA. Stochastic Environmental Research and Risk Assessment, 34(8), p.1231-1262.
  • Gupta, A., and Singh, R. K. (2020). Developing A Framework for Evaluating Sustainability Index for Logistics Service Providers: Graph Theory Matrix Approach. International Journal of Productivity and Performance Management, 69(8), p.1627-1646.
  • Gupta, A., Singh, R. K., and Suri, P. K. (2018a). Prioritizing Critical Success Factors for Sustainable Service Quality Management by Logistics Service Providers. Vision, 22(3), p.295-305.
  • Gupta, A., Singh, R. K., and Suri, P. K. (2018b). Sustainable Service Quality Management by Logistics Service Providers: An Indian Perspective. Global Business Review, 19(3_suppl), p.130-150.
  • Gupta, A., Singh, R. K., and Mangla, S. K. (2022). Evaluation of Logistics Providers for Sustainable Service Quality: Analytics Based Decision Making Framework. Annals of Operations Research, 315(2), p.1617-1664.
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  • Jayarathna, C. P., Agdas, D., & Dawes, L. (2023). Exploring Sustainable Logistics Practices Toward A Circular Economy: A Value Creation Perspective. Business Strategy and the Environment, 32(1), p.704-720.
  • Jovčić, S., and Průša, P. (2021). A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection. Mathematics, 9(21), 2729.
  • Kahraman, C., Cebi, S., Onar, S. C., and Öztayşi, B. (2022). Pharmaceutical 3PL Supplier Selection Using Interval-Valued Intuitionistic Fuzzy TOPSIS. Proceedings of the 25th Jubilee Edition, 28(3), p.361-374.
  • Keršuliene, V., Zavadskas, E. K., and 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), p.243-258.
  • Khan, S. A., Alkhatib, S., Ammar, Z., Moktadir, M. A., and Kumar, A. (2022). Benchmarking the Outsourcing Factors of Third-Party Logistics Services Selection: Analysing Influential Strength and Building A Sustainable Decision Model. Benchmarking: An International Journal, 29(6), p.1797-1825.
  • Lieb, K. J., and Lieb, R. C. (2010). Environmental Sustainability in The Third‐Party Logistics (3PL) Industry. International Journal of Physical Distribution and Logistics Management, 40(7), p.524-533.
  • Lin, C. Y., and Ho, Y. H. (2011). Determinants of Green Practice Adoption for Logistics Companies in China. Journal of Business Ethics, 98, p.67-83.
  • Liu, C. L., and Lyons, A. C. (2011). An Analysis of Third-Party Logistics Performance and Service Provision. Transportation Research Part E: Logistics and Transportation Review, 47(4), p.547-570.
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Bulanık Tabanlı SWARA ve MAIRCA Yöntemlerini Kullanarak İlaç Endüstrisinde Sürdürülebilir 3PL Hizmet Sağlayıcı Seçimi

Yıl 2025, Cilt: 25 Sayı: 1, 306 - 333, 25.03.2025
https://doi.org/10.11616/asbi.1585792

Öz

Bu çalışmanın amacı, bulanık SWARA ve bulanık MAIRCA yöntemlerine dayalı bütünleşik bir karar alma çerçevesi geliştirerek ilaç endüstrisi için sürdürülebilir üçüncü taraf lojistik hizmet sağlayıcılarının seçimi için bir çerçeve oluşturmaktır. Bu hedefe ulaşmak için literatür taraması ve uzman görüşleri yoluyla ekonomik, altyapı, çevresel ve sosyal temel boyutlar kapsamında 21 seçim kriteri belirlenmiştir. Daha sonra bulanık SWARA yöntemi kullanılarak bu kriterlerin ağırlıkları hesaplanmıştır. Son olarak bulanık MAIRCA yöntemi kullanılarak alternatif sürdürülebilir üçüncü taraf lojistik hizmet sağlayıcıları sıralanmıştır. Bulgular, sürdürülebilir üçüncü taraf lojistik hizmet sağlayıcılarının seçilmesi için en önemli kriterlerin sırasıyla ekonomik, altyapı, çevresel ve sosyal boyutlara karşılık gelen finansal istikrar, sektöre özgü bilgi ve deneyim, çevre koruma ve işçi sağlığı ve güvenliği olduğunu göstermektedir.

Kaynakça

  • Agarwal, S., Kant, R., and Shankar, R. (2020). Evaluating Solutions to Overcome Humanitarian Supply Chain Management Barriers: A Hybrid Fuzzy SWARA–Fuzzy WASPAS Approach. International Journal of Disaster Risk Reduction, 51, 101838.
  • Aguezzoul, A. (2014). Third-Party Logistics Selection Problem: A Literature Review on Criteria and Methods. Omega, 49, p.69-78.
  • Agyabeng-Mensah, Y., Ahenkorah, E., Afum, E., Dacosta, E., and Tian, Z. (2020). Green Warehousing, Logistics Optimization, Social Values and Ethics and Economic Performance: The Role of Supply Chain Sustainability. The International Journal of Logistics Management, 31(3), p.549-574.
  • Ak, S. (2024). Türk İlaç Politikalarına Dair Bir Araştırma. Turkish Journal of Healthy Aging Medicine, 1(2), p.1-23.
  • Akhtar, M. (2023). Decision Model for Prioritizing Logistics Service Provider Selection Criteria with Sustainability Consideration in The Manufacturing Industry. International Journal of Integrated Supply Management, 16(2), p.107-130.
  • Aldakhil, A. M., Nassani, A. A., Awan, U., Abro, M. M. Q., and Zaman, K. (2018). Determinants of Green Logistics in BRICS Countries: An Integrated Supply Chain Model for Green Business. Journal of Cleaner Production, 195, p.861-868.
  • Ali, A. H., Melkonyan, A., Noche, B., and Gruchmann, T. (2021). Developing A Sustainable Logistics Service Quality Scale for Logistics Service Providers in Egypt. Logistics, 5(2), 21.
  • Aytekin, A., Görçün, Ö. F., Ecer, F., Pamucar, D., and Karamaşa, Ç. (2023). Evaluation of The Pharmaceutical Distribution and Warehousing Companies Through an Integrated Fermatean Fuzzy Entropy-WASPAS Approach. Kybernetes, 52(11), p.5561-5592.
  • Baah, C., Amponsah, K. T., Issau, K., Ofori, D., Acquah, I. S. K., and Agyeman, D. O. (2021). Examining the Interconnections Between Sustainable Logistics Practices, Environmental Reputation and Financial Performance: A Mediation Approach. Vision, 25(1), p.47-64.
  • Baas, J., Schotten, M., Plume, A., Côté, G., and Karimi, R. (2020). Scopus As A Curated, High-Quality Bibliometric Data Source for Academic Research in Quantitative Science Studies. Quantitative Science Studies, 1(1), p.377-386.
  • Barker, J. M., Gibson, A. R., Hofer, A. R., Hofer, C., Moussaoui, I., and Scott, M. A. (2021). A Competitive Dynamics Perspective on The Diversification of Third-Party Logistics Providers’ Service Portfolios. Transportation Research Part E: Logistics and Transportation Review, 146, 102219.
  • Boral, S., Howard, I., Chaturvedi, S. K., McKee, K., and Naikan, V. N. A. (2020). An Integrated Approach for Fuzzy Failure Modes and Effects Analysis Using Fuzzy AHP And Fuzzy MAIRCA. Engineering Failure Analysis, 108, 104195.
  • Boztepe, R., and Çetin, O. (2020). Sustainable Warehousing: Selecting the Best Warehouse for Solar Transformation. Alphanumeric Journal, 8(1), p.97-110.
  • Carboncare. (2023). Climate Change: Responsibility of Transport and Logistics. https://www.carboncare.org/en/climate- change#:~:text=The%20Responsibility%20of%20Transport%20and,24%25%20of%20global%20CO2%20emissions. (Accessed 11.10. 2024).
  • Çelik Teker, S. (2017). The Implementation of Analytic Hierarchy Process in Pharmaceutical Industry for Selection Process of 3rd Party Logistics Service Provider. Öneri Dergisi, 12(48), p.107-124.
  • Chang, D. Y. (1996). Applications of The Extent Analysis Method on Fuzzy AHP. European Journal of Operational Research, 95(3), p.649-655.
  • Chen, L., Duan, D., Mishra, A. R., & Alrasheedi, M. (2022). Sustainable Third-Party Reverse Logistics Provider Selection to Promote Circular Economy Using New Uncertain Interval-Valued Intuitionistic Fuzzy-Projection Model. Journal of Enterprise Information Management, 35(4/5), p.955-987.
  • Choudhury, N., Raut, R. D., Gardas, B. B., Kharat, M. G., and Ichake, S. (2018). Evaluation and Selection of Third-Party Logistics Services Providers Using Data Envelopment Analysis: A Sustainable Approach. International Journal of Business Excellence, 14(4), p.427-453.
  • Dadashpour, I., and Bozorgi-Amiri, A. (2020). Evaluation and Ranking of Sustainable Third-Party Logistics Providers Using The D-Analytic Hierarchy Process. International Journal of Engineering, 33(11), p.2233-2244.
  • Froio, P. J., and Bezerra, B. S. (2021). Environmental Sustainability Initiatives Adopted by Logistics Service Providers in A Developing Country–An Overview in The Brazilian Context. Journal of Cleaner Production, 304, 126989.
  • García Mestanza, J., and Bakhat, R. (2021). A fuzzy AHP-MAIRCA Model for Overtourism Assessment: The case of Malaga Province. Sustainability, 13(11), 6394.
  • Gardas, B. B., Raut, R. D., and Narkhede, B. E. (2019). Analysing the 3PL Service Provider’s Evaluation Criteria Through A Sustainable Approach. International Journal of Productivity and Performance Management, 68(5), p.958-980.
  • Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., and Antucheviciene, J. (2018). A New Hybrid Fuzzy MCDM Approach for Evaluation of Construction Equipment with Sustainability Considerations. Archives of Civil and Mechanical Engineering, 18, p.32-49.
  • Govindan, K., Agarwal, V., Darbari, J. D., and Jha, P. C. (2019). An Integrated Decision-Making Model for The Selection of Sustainable Forward and Reverse Logistic Providers. Annals of Operations Research, 273, p.607-650.
  • Gul, M., and Ak, M. F. (2020). Assessment of Occupational Risks from Human Health and Environmental Perspectives: A New Integrated Approach and Its Application Using Fuzzy BWM And Fuzzy MAIRCA. Stochastic Environmental Research and Risk Assessment, 34(8), p.1231-1262.
  • Gupta, A., and Singh, R. K. (2020). Developing A Framework for Evaluating Sustainability Index for Logistics Service Providers: Graph Theory Matrix Approach. International Journal of Productivity and Performance Management, 69(8), p.1627-1646.
  • Gupta, A., Singh, R. K., and Suri, P. K. (2018a). Prioritizing Critical Success Factors for Sustainable Service Quality Management by Logistics Service Providers. Vision, 22(3), p.295-305.
  • Gupta, A., Singh, R. K., and Suri, P. K. (2018b). Sustainable Service Quality Management by Logistics Service Providers: An Indian Perspective. Global Business Review, 19(3_suppl), p.130-150.
  • Gupta, A., Singh, R. K., and Mangla, S. K. (2022). Evaluation of Logistics Providers for Sustainable Service Quality: Analytics Based Decision Making Framework. Annals of Operations Research, 315(2), p.1617-1664.
  • IEIS (İlaç Endüstrisi İşverenler Sendikası). (2024). 2023 Türkiye İlaç Sektörü. https://www.ieis.org.tr/static/shared/publications/pdf/26624aGVi_tr_ilac_sektoru_raporu_2023.pdf (Accessed 18.10.2024)
  • Jayarathna, C. P., Agdas, D., & Dawes, L. (2023). Exploring Sustainable Logistics Practices Toward A Circular Economy: A Value Creation Perspective. Business Strategy and the Environment, 32(1), p.704-720.
  • Jovčić, S., and Průša, P. (2021). A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection. Mathematics, 9(21), 2729.
  • Kahraman, C., Cebi, S., Onar, S. C., and Öztayşi, B. (2022). Pharmaceutical 3PL Supplier Selection Using Interval-Valued Intuitionistic Fuzzy TOPSIS. Proceedings of the 25th Jubilee Edition, 28(3), p.361-374.
  • Keršuliene, V., Zavadskas, E. K., and 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), p.243-258.
  • Khan, S. A., Alkhatib, S., Ammar, Z., Moktadir, M. A., and Kumar, A. (2022). Benchmarking the Outsourcing Factors of Third-Party Logistics Services Selection: Analysing Influential Strength and Building A Sustainable Decision Model. Benchmarking: An International Journal, 29(6), p.1797-1825.
  • Lieb, K. J., and Lieb, R. C. (2010). Environmental Sustainability in The Third‐Party Logistics (3PL) Industry. International Journal of Physical Distribution and Logistics Management, 40(7), p.524-533.
  • Lin, C. Y., and Ho, Y. H. (2011). Determinants of Green Practice Adoption for Logistics Companies in China. Journal of Business Ethics, 98, p.67-83.
  • Liu, C. L., and Lyons, A. C. (2011). An Analysis of Third-Party Logistics Performance and Service Provision. Transportation Research Part E: Logistics and Transportation Review, 47(4), p.547-570.
  • Lun, Y. V., Lai, K. H., Wong, C. W., and Cheng, T. C. E. (2015). Greening Propensity and Performance Implications for Logistics Service Providers. Transportation Research Part E: Logistics and Transportation Review, 74, p.50-62.
  • Mageto, J. (2022). Current and Future Trends of Information Technology and Sustainability in Logistics Outsourcing. Sustainability, 14(13), 7641.
  • Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., and Ibrahim, O. (2017). A Systematic Review and Meta-Analysis of SWARA and WASPAS Methods: Theory and Applications with Recent Fuzzy Developments. Applied Soft Computing, 57, p.265-292.
  • Mavi, R. K., Goh, M., and Zarbakhshnia, N. (2017). Sustainable Third-Party Reverse Logistic Provider Selection with Fuzzy SWARA and Fuzzy MOORA in Plastic Industry. The International Journal of Advanced Manufacturing Technology, 91, p.2401-2418.
  • McCarthy, I., and Anagnostou, A. (2004). The Impact of Outsourcing on The Transaction Costs and Boundaries of Manufacturing. International Journal of Production Economics, 88(1), p.61-71.
  • Mishra, A. R., Rani, P., and Pandey, K. (2022). Fermatean Fuzzy CRITIC-EDAS Approach for The Selection of Sustainable Third-Party Reverse Logistics Providers Using Improved Generalized Score Function. Journal of Ambient Intelligence and Humanized Computing, 13, p.295–311.
  • Mohammadi, M., Mehranzadeh, A., and Chekin, M. (2024). F-EVM: Improving Routing in Internet of Things Using Fuzzy MAIRCA Approach and Fuzzy Eigenvector Method. Cluster Computing, p.1-21.
  • Nila, B., and Roy, J. (2023). A New Hybrid MCDM Framework for Third-Party Logistic Provider Selection Under Sustainability Perspectives. Expert Systems with Applications, 121009.
  • Ozbekler, T. M., and Ozturkoglu, Y. (2020). Analysing The Importance of Sustainability‐Oriented Service Quality in Competition Environment. Business Strategy and the Environment, 29(3), p.1504-1516.
  • Pagell, M., and Wu, Z. (2009). Building A More Complete Theory of Sustainable Supply Chain Management Using Case Studies of 10 Exemplars. Journal of Supply Chain Management, 45(2), p.37-56.
  • Pamučar, D., Vasin, L., and Lukovac, L. (2014). Selection of Railway Level Crossings for Investing in Security Equipment Using Hybrid DEMATEL-MARICA Model. In XVI international scientific-expert conference on railway, railcon, pp. 89-92.
  • Prakash, C., and Barua, M. K. (2016). A Combined MCDM Approach for Evaluation and Selection of Third-Party Reverse Logistics Partner for Indian Electronics Industry. Sustainable Production and Consumption, 7, p.66-78.
  • Qian, X., Fang, S. C., Yin, M., Huang, M., and Li, X. (2021). Selecting Green Third-Party Logistics Providers for A Loss-Averse Fourth Party Logistics Provider in A Multiattribute Reverse Auction. Information Sciences, 548, p.357-377.
  • Raut, R., Kharat, M., Kamble, S., and Kumar, C. S. (2018). Sustainable Evaluation and Selection of Potential Third-Party Logistics (3PL) Providers: An Integrated MCDM Approach. Benchmarking: An International Journal, 25(1), p.76-97.
  • Rosano, M., Cagliano, A. C., and Mangano, G. (2022). Investigating the Environmental Awareness of Logistics Service Providers. The Case of Italy. Cleaner Logistics and Supply Chain, 5, 100083.
  • Roy, J., Pamučar, D., and Kar, S. (2020). Evaluation and Selection of Third-Party Logistics Provider Under Sustainability Perspectives: An Interval Valued Fuzzy-Rough Approach. Annals of Operations Research, 293, p.669-714.
  • Su, M., Fang, M., Pang, Q., and Park, K. S. (2022). Exploring the Role of Sustainable Logistics Service Providers in Multinational Supply Chain Cooperation: An Integrated Theory-Based Perspective. Frontiers in Environmental Science, 10, 976211.
  • Tochtrop, C., Bickel, M. W., Hennes, L., Speck, M., and Liedtke, C. (2022). Principles and Design Scenarios for Sustainable Urban Food Logistics. Frontiers in Sustainable Cities, 4, 896313.
  • Turk, H., and Guner, S. (2021). A Field Study on The Pharmaceutical Supply Chain Structure and Practices in Turkey. Journal of Transportation and Logistics, 6(2), p.177-196.
  • Ulutaş, A., and Topal, A. (2022). A New Hybrid Model Based on Rough Step-Wise Weight Assessment Ratio Analysis for Third-Party Logistics Selection. Soft Computing, 26(4), p.2021-2032.
  • Uthayakumar, R., and Priyan, S. (2013). Pharmaceutical Supply Chain and Inventory Management Strategies: Optimization for A Pharmaceutical Company and A Hospital. Operations Research for Health Care, 2(3), p.52-64.
  • Wang, C. N., Ho, H. X. T., Luo, S. H., and Lin, T. F. (2017). An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development. Sustainability, 9(2), 218.
  • Wang, C. N., Nguyen, N. A. T., Dang, T. T., and Lu, C. M. (2021). A Compromised Decision-Making Approach to Third-Party Logistics Selection in Sustainable Supply Chain Using Fuzzy AHP And Fuzzy VIKOR Methods. Mathematics, 9(8), 886.
  • Wang, Y. L., and Liao, C. N. (2023). Assessment of Sustainable Reverse Logistic Provider Using the Fuzzy TOPSIS And MSGP Framework in Food Industry. Sustainability, 15(5), 4305.
  • Wu, F., Li, H. Z., Chu, L. K., and Sculli, D. (2005). An Outsourcing Decision Model for Sustaining Long-Term Performance. International Journal of Production Research, 43(12), p.2513-2535.
  • Yang, D. H., Kim, S., Nam, C., and Min, J. W. (2007). Developing A Decision Model for Business Process Outsourcing. Computers and Operations Research, 34(12), p.3769-3778. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), p.338-353.
  • Zarbakhshnia, N., Soleimani, H., and Ghaderi, H. (2018). Sustainable Third-Party Reverse Logistics Provider Evaluation and Selection Using Fuzzy SWARA And Developed Fuzzy COPRAS in the Presence of Risk Criteria. Applied Soft Computing, 65, p.307-319.
  • Zhang, W., Zhang, M., Zhang, W., Zhou, Q., and Zhang, X. (2020). What Influences the Effectiveness of Green Logistics Policies? A Grounded Theory Analysis. Science of the Total Environment, 714, 136731.
  • Zolfani, S. H., and Saparauskas, J. (2013). New Application of SWARA Method in Prioritizing Sustainability Assessment Indicators of Energy System. Engineering Economics, 24(5), p.408-414.
Toplam 67 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Lojistik, Tedarik Zinciri Yönetimi
Bölüm Araştırma Makaleleri
Yazarlar

Sinan Çıkmak 0000-0002-4704-3409

Yayımlanma Tarihi 25 Mart 2025
Gönderilme Tarihi 15 Kasım 2024
Kabul Tarihi 8 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 25 Sayı: 1

Kaynak Göster

APA Çıkmak, S. (2025). Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods. Abant Sosyal Bilimler Dergisi, 25(1), 306-333. https://doi.org/10.11616/asbi.1585792
AMA Çıkmak S. Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods. ASBİ. Mart 2025;25(1):306-333. doi:10.11616/asbi.1585792
Chicago Çıkmak, Sinan. “Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods”. Abant Sosyal Bilimler Dergisi 25, sy. 1 (Mart 2025): 306-33. https://doi.org/10.11616/asbi.1585792.
EndNote Çıkmak S (01 Mart 2025) Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods. Abant Sosyal Bilimler Dergisi 25 1 306–333.
IEEE S. Çıkmak, “Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods”, ASBİ, c. 25, sy. 1, ss. 306–333, 2025, doi: 10.11616/asbi.1585792.
ISNAD Çıkmak, Sinan. “Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods”. Abant Sosyal Bilimler Dergisi 25/1 (Mart 2025), 306-333. https://doi.org/10.11616/asbi.1585792.
JAMA Çıkmak S. Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods. ASBİ. 2025;25:306–333.
MLA Çıkmak, Sinan. “Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods”. Abant Sosyal Bilimler Dergisi, c. 25, sy. 1, 2025, ss. 306-33, doi:10.11616/asbi.1585792.
Vancouver Çıkmak S. Sustainable 3PL Service Provider Selection in the Pharmaceutical Industry Using Fuzzy-Based SWARA and MAIRCA Methods. ASBİ. 2025;25(1):306-33.