Weighting the factors affectıng logıstıcs outsourcıng
Today, growing and changing competitive conditions, products and services, free movement of labor and businesses with the information they develop strategies that create value in order to obtain a competitive advantage. Now, final buyers have the convenience of purchasing the products they demand with the features and conditions they want and at the price they accept. In such an environment, businesses use their supply chain and logistics activities more effectively and efficiently than their competitors. Today, achieving a strategic superiority in a global market where the content and quality of the products are the same is only possible by delivering the desired products to the customer at the desired price, at the desired time, in the desired amount, through the right channel, as quickly as possible and without any damage. In such a situation, the desire to focus on the main activities of the enterprises, the need for effective logistics operations, etc. logistics outsourcing has increasing rapidly for reasons. Businesses can carry out logistics activities requiring expertise thanks to third party logistics (3PL) service providers in the field such as transportation, storage, customs clearance, without investing in logistics. In order for logistics outsourcing to be beneficial, a correct logistics service provider must be selected in accordance with the needs of the business. Selecting the right logistics service provider is important in increasing the benefit of outsourcing. In this study neutrosophic AHP was used to prioritize the factors.
Abdel-Basset, M., Mohamed, M., & Smarandache, F. (2018). An Extension of Neutrosophic AHP SWOT Analysis for Strategic Planning and Decision Making. Symmetry, 1-18. DOI: https://doi.org/10.3390/sym10040116
Abdel-Basset, M., Mohamed, M., Zhou, Y., & Hezam, I. (2017). Multi-Criteria Group Decision Making Based on Neutrosophic Analytic Hierarchy Process. Journal of Intelligent & Fuzzy Systems, 4055-4066. DOI: https://doi.org/10.3233/JIFS-17981
Arbore, A. & Ordanini, A. (2006). Broadband Divide Among SMEs: The Role of Size, Location and Outsourcing Strategies, International Small Business Journal: Researching Entrepreneurship, 24(1), 83-99. DOI: https://doi.org/10.1177/0266242606059781
Bansal, A. & Kumar, P. (2013). 3PL selection using hybrid model of AHP-PROMETHEE, International Journal of Service and Operations Management, 14(3), 373-397. DOI: https://doi.org/10.1504/IJSOM.2013.052096
Bhatnagar, R., Sohal, A.S. & Millen, R. (1999). Third-party logistics services: a singapore perspective. International Journal of Physical Distribution ve Logistics Management ,29(9), 569-587. DOI: https://doi.org/10.1108/09600039910287529
Bhatti, R. S., Kumar, P. & Kumar, D. (2010). Analytical modeling of third party service provider selection in lead logistics provider environments, Journal of Modelling in Management, 5(3), 275-286. DOI: https://doi.org/10.1108/17465661011092641
Biswas, P., Pramanik, S., & Giri, B. (2016). Some Distance Measures of Single Valued Neutrosophic Hesitant Fuzzy Sets and Their Applications to Multiple Attribute Decision Making. In F. Smarandache, & S. Pramanik (Eds.) In New Trends in Neutrosophic Theory and Applications (pp. 27-34). Brussels: Pons Publishing House.
Bottani, E. & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 11(4), 294-308. DOI: https://doi.org/10.1108/13598540610671743
Boyson, S., Corsi, T., Dresner, M. & Rabinovich, E. (1999). managing effective third party logistics relationships: what does it take? Journal of Business Logistics, 20(1), 73-100.
Chen, K. Y. & Wu, W.T.(2011). Applying analytic network process in logistics service provider selection – a case study of the industry investing in Southeast Asia, International Journal of Electronic Business Management, 9(1), 24-36.
Cirpin, B. K. & Kabadayi, N. (2015), Analytic hierarchy process in third-party logistics provider selection criteria evaluation: a case study in IT distributor company, International Journal of Multidisciplinary Sciences and Engineering, 6(3), 1-6.
Dapiran, P., Lieb, R., Millen, R. & Sohal, A. (1996). Third party logistics services usage by large australian firms. International journal of physical distribution and logistics management, 26(10), 36-45. DOI: https://doi.org/10.1108/09600039610150442
Erdoğan, D. & Tokgöz, N. (2020). Bilgi teknolojileri dış kaynak kullanımı başarısında biçimsel ve ilişkisel yönetişimin rolü: Havacılık sektöründe bir araştırma. İzmir İktisat Dergisi, 35(2), 221-239.
Erkayman, B., Gundogar, E. & Yilmaz A. (2012), An integrated fuzzy approach for strategic alliance partner selection in third-party logistics, The Scientific World Journal, 2012, 1-6. DOI: https://doi.org/10.1100/2012/486306
Fu, Y. & Liu, H. (2007). Information Systems Outsourching Vendor Selection Based on Analiytic Hierarchy Process, In Wireless Communications, Networking and Mobile Computing International Conference, 6250-6253.
Govindan, K, Khodaverdi, R. & Vafadarnikjoo, A, (2016), A Grey Dematel ApproachToDevelop Third-PartyLogistics Provider Selection Criteria, Industrial Management & Data Systems, 116(4), 690-722.
Govindan, K, Palaniappan M, Zhu, Q. & Kannan, D. (2012). Analysis of third party reverse logistics provider using interpretive structural modelling, International Journal of Production Economics, 140(1), 204-211. DOI: https://doi.org/10.1016/j.ijpe.2012.01.043
Hwang, B. N., Chen, T. T. & Lin, J. T. (2016). 3PL selection criteria in integrated circuit manufacturing industry in Taiwan, Supply Chain Management: An International Journal, 21(1), 103-124. DOI: https://doi.org/10.1108/SCM-03-2014-0089
Işıklar, G., Alptekin, E. & Büyüközkan, G. (2007). Application of a hybrid intelligent decision support model in logistics outsourcing. Computers & Operations Research, 34(12), 3701-3714. DOI: https://doi.org/10.1016/j.cor.2006.01.011
Jharkharia, S. & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289. DOI: https://doi.org/10.1016/j.omega.2005.06.005
Ji-Fan Ren, S., Ngai, E. W.T. & Cho, V. (2010). Examining the determinants of Outsourcing partnership quality in Chinese small-and-medium-sized enterprises, International Journal of Production Research, 48(2), 453-475. DOI: https://doi.org/10.1080/00207540903174965
Korucuk, S. (2018), Soğuk Zincir Taşımacılığı Yapan İşletmelerde 3PL Firma Seçimi: İstanbul Örneği, Iğdır Üniversitesi Sosyal Bilimler Dergisi, 16, 341-365.
Li F, Li L, Jin, C, Wang R, Wang H. & Yang L. (2012). A 3PL supplier selection model based on fuzzy sets, Computers & Operations Research, 39(8), 1879-1884. DOI: https://doi.org/10.1016/j.cor.2011.06.022
Liu, H. T. & Wang, W.K. (2009). An integrated fuzzy approach for provider evulation and selection in third-party logistics, Expert Systems with Applications, 36(3), 4387-4398. DOI: https://doi.org/10.1016/j.eswa.2008.05.030
Menon, M. K., McGinnis, M. A., & Ackerman, K. B. (1998). Selection criteria for providers of third-party logistics services: an exploratory study. Journal of business logistics, 19(1), 121-137.
Mickaitis, A., Bartkus, E. V. & Zascizinskiene, G. (2009). Empirical Research on Outsourcing in Lithuanian Small Business Segment, Engineering Economics, 5, 91- 101.
Mondal, K., Pramanik, S., & Smarandache, F. (2016). Several Trigonometric Hamming Similarity Measures of Rough Neutrosophic Sets and Their Applications in Decision Making. In F. Smarandache, & S. Pramanik (Eds.) New Trends in Neutrosophic Theory and Applications (pp. 93-103). Brussels: Pons Publishing House.
O’Regan, N. & Kling, G. (2011). Technology outsourcing in manufacturing SMEs: another competitive resource? R&D Management, 41(1),92-105. DOI: https://doi.org/10.1111/j.1467-9310.2010.00626.x
Özbek, A., & Eren,T, (2013), Analitik Ağ Süreci Yaklaşımıyla Üçünü Parti Lojistik (3PL) Firma Seçimi”, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 27(1), 95-113.
Perçin, S. (2009). Evaluation of third-party logistics (3PL) providers by using a two-phase AHP and TOPSIS methodology, Benchmarking: An International Journal, 16(5), 588-604. DOI: https://doi.org/10.1108/14635770910987823
Petroni, A. & Braglia, M. (2000). Vendor Selection Using Principal Component Analysis. Journal of Supply Chain Management, 36(2), 63-69. DOI: https://doi.org/10.1111/j.1745-493X.2000.tb00078.x
Prater, E. & Ghosh, S. (2005). Current Operational Practices of U.S. Small and MediumSized Enterprises in Europe, Journal of Small Business Management, 43(2), 155-169.
Qureshi, M. N., Kumar, D. & Kumar, P. (2008). An integrated model to identify and classify the key criteria and their role in the assessment of 3PL services providers. Asia Pacific Journal of Marketing and Logistics, 20(2), 227-249. DOI: https://doi.org/10.1108/13555850810864579
Rajesh, R., Pugazhendhi, S., Ganesh, K. & Muralidharan C. (2011). AQUA: analytical model for evaluation and selection of third-party logistics service provider in supply chain, International Journal of Services and Operations Management, 8(1), 27-45. DOI: https://doi.org/10.1504/IJSOM.2011.037439
Smarandache, F. (1998). A Unifying Field in Logics, Neutrosophy: Neutrosophic Probability, Set and Logic. Rehoboth: American Research Press.
Sremac, S., Stević, Ž., Pamučar, D., Arsić, M. & Matić, B. (2018). Evaluation of a third-party logistics (3PL) provider using a rough SWARA–WASPAS model based on a new rough dombi aggregator. Symmetry, 10(8), 1-25.
Vijayvargiya, A. & Dey, A. K. (2010). An analytical approach for selection of a logistics provider, Management Decisions, 48(3), 403-418. DOI: https://doi.org/10.1108/00251741011037774
Wang, H., Smarandache, F., Zhang, Y., & Sunderraman, R. (2010). Single Valued Neutrosophic Sets. Multispace and Multistructure,4, 410-413.
Wong, J. T. (2012). DSS for 3PL provider selection in global supply chain: combining the multi-objective optimisation model with experts’ opinions, Journal of Intelligent Manufacturing, 23(3), 599-614. DOI: https://doi.org/10.1007/s10845-010-0398-z