Abstract
With the Industry 4.0, a new trend has started for all sectors and enterprises have entered into a period of intense working and investment to turn into intelligent systems. Cold chain logistics also has the same trend, and companies have pushed the button to be involved in this process. Due to changing lifestyles and generally decreasing prices, the world market for perishable products such as processed foods and cooled products is growing. Cold chain transportation is an important issue in basic food and health product logistics to prevent the growth of harmful microorganisms and to ensure that the products remain intact. In this study, it is aimed to determine the right cold chain logistics firm for company EDB that is a small and medium-sized enterprise (SME) operating in the food industry. Firstly, the selection criteria are defined according to the literature survey and expert views. AHP approach has been used to calculate the weight of them. After the determination of weight of criteria, VIKOR approach has been used to identify the best cold chain logistics firm for company EDB. The results were obtained by using Expert Choice 11.0 and Excel calculator finally the best one has been determined.
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References
Sen, A.: Tedarik zinciri yönetiminde soğuk lojistik uygulamalarinin etkinliğinin arttirilmasina yönelik bir çalişma. MSc Thesis, Dokuz Eylul University, Izmir, Turkey (2008)
Onursal, F.S., Birgun, S., Yazici, S.: Using theory of constraints thinking processes to provide solutions for rejection problems in cold chain logistics. In: International Conference on Eurasian Economies, pp. 332–340. Uzbekistan (2018)
The Ministry of Trade regulation homepage (2019). http://kms.kaysis.gov.tr/Home/Goster135770
Whaiduzzaman, M.D., Gani, A., Anuar, N.B., Shiraz, M., Haque, M.N., Haque, I.T.: Cloud service selection using multicriteria decision analysis. Sci. World J. 2014, 1–10 (2014)
Joshi, R., Banwet, D.K., Shankar, R.: A delphi-AHP-TOPSIS based benchmarking framework performance improvement of a cold chain. Expert Syst. Appl. 38(8), 10170–10182 (2011)
Saravanan, S., Anubama, B.: Selection of cold chaing logistics service providers in pharmaceutical industry with reference to India. Int. J. Manag. Value Sup. Chains (IJMVSC) 8(2), 1–12 (2017)
Korucuk, S.: Soğuk zincir taşımacılığı yapan işletmelerde 3PL firma seçimi: İstanbul örneği. Igdir Univ. J. Soc. Sci. 16, 341–366 (2018)
Caloglu Buyukselcuk, E., Uner, O., Ozkan, C.: Kobilerde Çalışma Koşulları-Çalışan Memnuniyeti İlişkisi. In: V.Ulusal Uretim Araştırmaları Sempozyumu, pp. 105–110, Turkey (2005)
Velasquez, M., Hester, P.T.: An analysis of multi-criteria decision making methods. Int. J. Oper. Res. 10(2), 56–66 (2013)
Sennaroglu, B., Varlik Celebi, G.: A military airport location selection by AHP integrated PROMETHEE and VIKOR methods. Transp. Res. Part D: Transp. Environ. 59, 160–173 (2018)
Awasthi, A., Govindan, K., Gold, S.: Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. Int. J. Prod. Econ. 195, 106–117 (2018)
Garg, C.P.: A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry. J. Air Transp. Manag. 52, 55–66 (2016)
Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1, 83–98 (2008)
Opricovic, S.: Multi-criteria optimization of civil engineering systems. Faculty of Civil Engineering (1998)
Caloglu Buyukselcuk, E.: Green and innovative supplier selection model via MCDM techniques and a case study in automotive industry. PhD Thesis, Marmara University, Istanbul, Turkey (2017)
Štirbanović, Z., Stanujkić, D., Miljanović, I., Milanović, D.: Application of MCDM methods for flotation machine selection. Min. Eng. 137, 140–146 (2019)
Pineda, P.J.G., Liou, J.J.H., Hsu, C.C., Chuang, Y.C.: An integrated MCDM model for improving airline operational and financial performance. J. Air Transp. Manag. 68, 103–117 (2018)
Kiani, B., Liang, R.Y., Gross, J.: Material selection for repair of structural concrete using VIKOR method. Case Stud. Constr. Mat. 8, 489–497 (2018)
Acknowledgment
I am grateful to my dear teacher Prof. Semra Birgun for his support during the realization of this work. Also I would like to thank company EDB personnel for their support, comments and help.
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Buyukselcuk, E.C. (2020). Cold Chain Logistics Firm Selection by Using AHP-VIKOR Integrated Method and a Case Study in Food Industry. In: Durakbasa, N., Gençyılmaz, M. (eds) Proceedings of the International Symposium for Production Research 2019. ISPR ISPR 2019 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31343-2_35
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DOI: https://doi.org/10.1007/978-3-030-31343-2_35
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