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Bütünleştirilmiş AHP-ARAS Yaklaşımıyla Lojistik Partner Seçimi: Otomotiv Yan Sanayi Yedek Parça Sektöründe Bir Uygulama

Yıl 2024, Cilt: 15 Sayı: 41, 77 - 101, 28.02.2024
https://doi.org/10.21076/vizyoner.1274666

Öz

En uygun lojistik partnerin seçilmesi, tüm işletmelerin rekabet güçlerinde uzun vadeli işbirliklerini gerçekleştirmeleri açısından önemli bir konu olarak karşımıza çıkmaktadır. Bu çalışma otomotiv yan sanayi yedek parça sektöründe faaliyet gösteren bir işletme için en uygun lojistik partnerin seçilmesini amaçlamaktadır. Belirtilen amaç doğrultusunda çalışmada dört aşamalı bir bütünleştirilmiş Çok Kriterli Karar Verme yaklaşımı uygulanmıştır. İlk olarak çalışmada lojistik partner seçim kriterleri literatür araştırması ve yönetici görüşleri ile belirlenmiştir. Lojistik partner seçim kriterlerinin belirlenmesinin ardından, lojistik partner seçim kriterlerinin ağırlıkları Analitik Hiyerarşik Süreç (AHP) yöntemi ile tespit edilmiştir. Lojistik partner seçim kriterlerinin ağırlıklarının belirlenmesinin ardından çalışmada değerlendirilecek alternatifler işletme deneyimlerine göre belirlenmiştir. Son aşamada ise en uygun lojistik partner seçimi Additive Ratio Assesment (ARAS) yöntemi ile elde edilmiştir. Çalışmanın sonuçları, lojistik partner seçiminde en önemli kriterin “Lojistik Aktiviteler” olduğunu göstermiştir. ARAS yöntemine göre sonuçlar LF1’in genel sıralamada işletme için en uygun lojistik partner olduğunu göstermektedir. Ayrıca şirket yöneticileri ile yapılan görüşmelerden elde edilen verilere göre önerilen modelin geçerli ve sağlam olduğu tespit edilmiştir.

Kaynakça

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Logistics Partner Selection by Integrated AHP-ARAS Approach: A Case Study in the Automotive Sub-Industry Spare Parts Sector

Yıl 2024, Cilt: 15 Sayı: 41, 77 - 101, 28.02.2024
https://doi.org/10.21076/vizyoner.1274666

Öz

Selecting the most proper logistics partner show up as a vital subject for all firms with regard to realize long-term cooperation in their competitive capacities. The study aims to choose the most proper logistics partner for a firm get into the acts in the automotive supply industry spare parts. In line with the stated aim, a four-phase an integrated Multi Criteria Decision Making approach is implemented in the study. In the study firstly, logistics partner selection criteria are specified via review of literature and managers opinions. After determining the logistics partner selection criteria in the research, the weights of logistics partner selection criteria are specified by Analytic Hierarchical Process (AHP) method. In the wake of the determining the logistics partner selection criteria weights, alternatives of the logistics partners to be assessable in the study are determined according to the firm experiences. Lastly, the most proper logistics partner selection is acquired via the Additive Ratio Assessment (ARAS) method. The consequences of the research demonstrated that the most significant criterion in the selection of logistics partners is “Logistic Activities”. As to ARAS method, the consequences show that LF1 is the most proper logistics partner for the firm in the general ranking. In addition, according to the data obtained from interviews with firm managers, the suggested model is detected to be valid and robust.

Kaynakça

  • Abdulrahman, N. A., Melewar, T. C. ve Sharif, A. M. (2014). The establishment of industrial branding through dyadic logistics partnership success (LPS): The case of the Malaysian automotive and logistics industry. Industrial Marketing Management, 43, 67-76. http://dx.doi.org/10.1016/j.indmarman.2013.09.003
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  • Alkhatib, S. F., Darlington, R. ve Nguyen, T. T. (2015). Logistics service providers (LSPs) evaluation and selection Literature review and framework development. Strategic Outsourcing: An International Journal, 8(1), 102-134. https://doi.org/10.1108/SO-12-2014-0028
  • Badraoui, I., Boulaksil, Y. ve Van Der Vorst, J. G. A. J. (2022). A typology of horizontal logistics collaboration concepts: An illustrative case study from agri-food supply chains. Benchmarking, 29(4), 1214-1240. https://doi.org/10.1108/BIJ-02-2021-0082
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  • Gürcan, Ö.F., Yazıcı, İ., Beyca, Ö. F., Arslan, Ç. Y. ve Eldemir, F. (2016). Third party logistics (3PL) provider selection with AHP application. Procedia-Social and Behavioral Sciences, 235, 226-234. https://doi.org/10.1016/j.sbspro.2016.11.018
  • Haldar, A., Qamaruddin, U., Raut, R., Kamble, S., Kharat, M. G. ve Kamble, S. J. (2017). 3PL evaluation and selection using integrated analytical modeling. Journal of Modelling in Management, 12(2), 224-242. https://doi.org/10.1108/JM2-04-2015-0016
  • Heaslip, G., Sharif, A. M. ve Althonayan, A. (2012). Employing a systems-based perspective to the identification of inter-relationships within humanitarian logistics. International Journal of Production Economics, 139(2), 377-392. https://doi.org/10.1016/j.ijpe.2012.05.022
  • Jauhar, S. K., Amin, S. H.ve Zolfagharinia, H. (2021). A proposed method for third-party reverse logistics partner selection and order allocation in the cellphone industry. Computers & Industrial Engineering, 162, 1-16. https://doi.org/10.1016/j.cie.2021.107719
  • Jung, H., Chen, F. F. ve Jeong, B. (2008). Decentralized supply chain planning framework for third party logistics partnership. Computers & Industrial Engineering, 55(2), 348-364. https://doi.org/10.1016/j.cie.2007.12.017
  • Kilibarda, M., Nikolicic, S. ve Andrejic, M. (2016). Measurement of logistics service quality in freight forwarding companies: A case study of the Serbian market. The International Journal of Logistics Management, 27(3),770-794. https://doi.org/10.1108/IJLM-04-2014-0063
  • Kinra, A. ve Kotzab, H. (2008). A macro-institutional perspective on supply chain environmental complexity. International Journal of Production Economics, 115(2), 283-295. https://doi.org/10.1016/j.ijpe.2008.05.010
  • Koskinen, P. (2009). Supply chain strategy in a global paper manufacturing company: a case study. Industrial Management & Data Systems, 109(1), 34-52. https://doi.org/10.1108/02635570910926582
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  • Laeequddin, M., Sardana, G. D., Sahay, B. S., Abdul Waheed, K. ve Sahay, V. (2009). Supply chain partners' trust building process through risk evaluation: the perspectives of UAE packaged food industry. Supply Chain Management, 14(4), 280-290. https://doi.org/10.1108/13598540910970117
  • Le, P. L., Jarroudi, I., Dao, T. M. ve Chaabane, A. (2021). Integrated construction supply chain: an optimal decision-making model with third party logistics partnership. Construction Management and Economics, 39(2), 133-155. https://doi.org/10.1080/01446193.2020.1831037
  • Lei, T., Lv, Y., Yajie, Z. ve Xiaohua, C. (2021). Logistics service provider selection decision making for healthcare industry based on a novel weighted density-based hierarchical clustering. Advanced Engineering Informatics, 48, 1-9. https://doi.org/10.1016/j.aei.2021.101301
  • Liao, K., Marsillac, E., Johnson, E. ve Liao, Y. (2011). Global supply chain adaptations to improve financial performance: Supply base establishment and logistics integration. Journal of Manufacturing Technology Management, 22(2), 204-222. https://doi.org/10.1108/17410381111102225
  • Liu, W., Shen, X. ve Xie, D. (2017). Decision method for the optimal number of logistics service providers with service quality guarantee and revenue fairness. Applied Mathematical Modelling, 48, 53-69. https://doi.org/10.1016/j.apm.2017.03.058
  • Makukha, K. ve Gray, R. (2004). Logistics partnerships between shippers and logistics service providers: the relevance of strategy. International Journal of Logistics Research and Applications, 7(4), 361-377. https://doi.org/10.1080/13675560412331322952
  • Mancini, S., Gansterer, M. ve Hartl, R.F. (2021). The collaborative consistent vehicle routing problem with workload balance. European Journal of Operational Research, 293(3), 955-965. https://doi.org/10.1016/j.ejor.2020.12.064
  • Marasco, A. (2008). Third-party logistics: A literature review. International Journal of Production Economics, 113(1), 127-147. https://doi.org/10.1016/j.ijpe.2007.05.017
  • Mostafaeipour, A., Dehshiri, S. J. H. ve Dehshiri, S. S. H. (2020). Ranking locations for producing hydrogen using geothermal energy in Afghanistan. International Journal of Hydrogen Energy, 45(32), 15924-15940. https://doi.org/10.1016/j.ijhydene.2020.04.079
  • Narkhede, B. E., Raut, R., Gardas, B., Luong, H. T. ve Jha, M. (2017). Selection and evaluation of third party logistics service provider (3PLSP) by using an interpretive ranking process (IRP). Benchmarking: An International Journal, 24(6), 1597-1648. https://doi.org/10.1108/BIJ-04-2016-0055
  • Navicelli, A. ve De Carlo, F. (2018). Third-party logistics as a competitive advantage in Utilities spare parts management. IFAC-PapersOnLine, 51(11), 600-605. https://doi.org/10.1016/j.ifacol.2018.08.384
  • Neto, G.C.O., Oliveira, J.C. ve Librantz, A.F.H. (2017). Selection of logistic service providers for the transportation of refrigerated goods. Production Planning & Control, 28(10), 813-828. https://doi.org/10.1080/09537287.2017.1319986
  • Nevries, F. ve Wallenburg, C. M. (2021). Performance improvements in logistics outsourcing relationships: The role of LSP and customer organizational culture archetypes. International Journal of Operations & Production Management, 41(12), 1807-1843. https://doi.org/10.1108/IJOPM-02-2021-0122
  • Novais, L., Maqueira Marin, J.M. ve Moyano-Fuentes, J. (2020). Lean Production implementation, cloud-supported logistics and supply chain Integration: interrelationships and effects on business performance. The International Journal of Logistics Management, 31(3), 629-663. https://doi.org/10.1108/IJLM-02-2019-0052
  • Ogonowski, P. (2022). Integrated AHP and TOPSIS method in the comparative analysis of the internet activities. Procedia Computer Science, 207, 4409-4418. https://doi.org/10.1016/j.procs.2022.09.504
  • Papadopoulou, E. M., Manthou, V. ve Vlachopoulou, M. (2013). 4PL network partnerships: the pre-selection phase. International Journal of Logistics Research and Applications, 16(3), 175-192. https://doi.org/10.1080/13675567.2013.809708
  • Pascucci, E. (2021). More logistics, less aid: Humanitarian-business partnerships and sustainability in the refugee camp. World Development, 142, 1-9. https://doi.org/10.1016/j.worlddev.2021.105424
  • Pathak, S. K., Sharma, V., Chougule, S. S. ve Goel, V. (2022). Prioritization of barriers to the development of renewable energy technologies in India using integrated Modified Delphi and AHP method. Sustainable Energy Technologies and Assessments, 50, 1-17. https://doi.org/10.1016/j.seta.2021.101818
  • Prakash, C. ve Barua, M. K. (2016a). An analysis of integrated robust hybrid model for third-party reverselogistics partner selection under fuzzy environment. Resources, Conservation and Recycling, 108, 63-81. http://dx.doi.org/10.1016/j.resconrec.2015.12.011
  • Prakash, C. ve Barua, M. K. (2016b). A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry. Sustainable Production and Consumption, 7, 66-78. http://dx.doi.org/10.1016/j.spc.2016.04.001
  • Prataviera, L. B., Creazza, A., Dallari, F. ve Melacini, M. (2023). How can logistics service providers foster supply chain collaboration in logistics triads? Insights from the Italian grocery industry. Supply Chain Management, 28(2), 242-261. https://doi.org/10.1108/SCM-03-2021-0120
  • Qureshi, M. N., Kumar, D. ve Kumar, P. (2007). 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. https://doi.org/10.1108/13555850810864579
  • Rai, H. B., Verlinde, S. ve Macharis, C. (2018). How Are Logistics Service Providers Adapting to Omnichannel retail?. IFAC-PapersOnLine, 51(11), 588-593. https://doi.org/10.1016/j.ifacol.2018.08.382
  • Ramanathan, U., Bentley, Y. ve Pang, G. (2014). The role of collaboration in the UK green supply chains: an exploratory study of the perspectives of suppliers, logistics and retailers. Journal of Cleaner Production, 70, 231-241. https://doi.org/10.1016/j.jclepro.2014.02.026
  • Ramezanali, A. K., Feizi, F., Jafarirad, A. ve Lotfi, M. (2020). Application of Best-Worst method and Additive Ratio Assessment in mineral prospectivity mapping: A case study of vein-type copper mineralization in the Kuhsiah-e-Urmak Area, Iran. Ore Geology Reviews, 117, 1-17. https://doi.org/10.1016/j.oregeorev.2019.103268
  • Rooijen, T. V. ve Quak, H. (2014). City Logistics in the European CIVITAS Initiative. Procedia-Social and Behavioral Sciences, 125, 312-325. https://doi.org/10.1016/j.sbspro.2014.01.1476
  • Ryu, I., So, S. ve Koo, C. (2009). The role of partnership in supply chain performance. Industrial Management & Data Systems, 109(4), 496-514.https://doi.org/10.1108/02635570910948632
  • Saaty, T. L. (1994). How to make a decision: The analytic hierarchy process. Interfaces, 24(6), 19-43. https://doi.org/10.1287/inte.24.6.19
  • Sharma, S. ve Choudhury, A. G. (2014). A qualitative study on evolution of relationships between third-party logistics providers and customers into strategic alliances. Strategic Outsourcing: An International Journal, 7(1), 2-17. https://doi.org/10.1108/SO-08-2013-0015
  • Sheu, J. B. (2007). A coordinated reverse logistics system for regional management of multi-source hazardous wastes. Computers & Operations Research, 34(5), 1442-1462. https://doi.org/10.1016/j.cor.2005.06.009
  • Sivalingam, V., Kumar, P. G., Prabakaran, R., Sun, J., Velraj, R. ve Kim, S. C. (2022). An automotive radiator with multi-walled carbon-based nanofluids: A study on heat transfer optimization using MCDM techniques. Case Studies in Thermal Engineering, 29, 1-17. https://doi.org/10.1016/j.csite.2021.101724
  • Tang, J. E., Shee, D. Y. ve Tang, T. I. (2001). A conceptual model for interactive buyer supplier relationship in electronic commerce. International Journal of Information Management, 21(1), 49-68. https://doi.org/10.1016/S0268-4012(00)00050-5
  • Tanksale, A. N., Das, D., Verma, P. ve Tiwari, M. K. (2021). Unpacking the role of primary packaging material in designing green supply chains: An integrated approach. International Journal of Production Economics, 236, 1-13. https://doi.org/10.1016/j.ijpe.2021.108133
  • Tate, K. (1996). The elements of a successful logistics partnership. International Journal of Physical Distribution & Logistics Management, 26(3), 7-13. https://doi.org/10.1108/09600039610115045
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  • Tutak, E. ve Koçer, G. (2023). 21. yüzyıl deniz gücünün askeri ve ticari perspektiften analizi için yeni bir yaklaşım önerisi: Türkiye örneği. Akdeniz İİBF Dergisi, 23(1), 1-17. http://dx.doi.org/10.25294/auiibfd.1165880
  • Uren, V., Miller, T., Da Campo, R. ve Dadzie, A. S. (2021). A model for partner selection criteria in energy from waste projects. Journal of Cleaner Production, 279, 1-11. https://doi.org/10.1016/j.jclepro.2020.123582
  • Varghese, B. ve Karande, P. (2022). AHP-MARCOS, a hybrid model for selecting gears and cutting fluids. Materials Today: Proceedings, 52(3), 1397-1405. https://doi.org/10.1016/j.matpr.2021.11.142
  • Vega, D. ve Roussat, C. (2015). Humanitarian logistics: the role of logistics service providers. International Journal of Physical Distribution & Logistics Management, 45(4), 352-375. https://doi.org/10.1108/IJPDLM-12-2014-0309
  • Wang, L. ve Kess, P. (2006). Partnering motives and partner selection: Case studies of Finnish distributor relationships in China. International Journal of Physical Distribution & Logistics Management, 36(6), 466-478. https://doi.org/10.1108/09600030610677410
  • Xi, F. ve Jiang, W. Q. (2012). Study on scrap automobile manufacturers reverse logistics partners base on evaluation engineering. Systems Engineering Procedia, 5, 213-221. https://doi.org/10.1016/j.sepro.2012.04.034
  • Yang, Y. H., Hui, Y. V. Leung, L. C. ve Chen, G. (2010). An analytic network process approach to the selection of logistics service providers for air cargo. Journal of the Operational Research Society, 61(9), 1365-1376. https://doi.org/10.1057/jors.2009.111
  • Yeung, K., Zhou, H., Yeung, A. C. L. ve Cheng, T. C. E. (2012). The impact of third-party logistics providers' capabilities on exporters' performance. International Journal of Production Economics, 135(2), 741-753. https://doi.org/10.1016/j.ijpe.2011.10.007
  • Zhou, F., Wang, X., Lim, M. K., He, Y. ve Li, L. (2018). Sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: A case study in small-and-medium enterprises (SMEs). Journal of Cleaner Production, 196, 489-504. https://doi.org/10.1016/j.jclepro.2018.05.247
Toplam 81 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Ramazan Eyüp Gergin 0000-0002-0968-9188

Erken Görünüm Tarihi 28 Şubat 2024
Yayımlanma Tarihi 28 Şubat 2024
Gönderilme Tarihi 31 Mart 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 15 Sayı: 41

Kaynak Göster

APA Gergin, R. E. (2024). Bütünleştirilmiş AHP-ARAS Yaklaşımıyla Lojistik Partner Seçimi: Otomotiv Yan Sanayi Yedek Parça Sektöründe Bir Uygulama. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 15(41), 77-101. https://doi.org/10.21076/vizyoner.1274666

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