LOGISTICS CENTER LOCATION SELECTION BASED ON SUSTAINABILITY WITH LOPCOW-GRAY RELATIONAL ANALYSIS MODEL

Year 2025, Volume: 18 Issue: 3, 858 - 874, 01.07.2025

Ümmühan Karahaliloğlu

https://doi.org/10.25287/ohuiibf.1621571

Abstract

In Turkey, 12 logistics centers are currently operating, and it is planned to operate 25 logistics centers by 2030 and 30 logistics centers by 2053. Environmental, social and economic factors gain importance on the basis of sustainability, which will be affected by the components of the sector such as industry, trade, transportation and infrastructure activities. This study aimed to choose a logistics center location on the basis of sustainability in Turkey with the LOPCOW-GRA model. In the selection of sustainable logistics center location, 39 criteria were used considering the trade potential, transportation networks, land and infrastructure criteria according to the current conditions of industry, trade and service, as well as environmental, social and economic criteria. As alternatives, eight different logistics centers in the planning, project, and design stages and logistics center locations in four different locations in the Western Black Sea region, which are considered to have logistics center potential, were selected. According to the LOPCOW-GRA model, Konya-Kayacık, Kayseri-Boğazköprü, Zonguldak-Çaycuma, and Bilecik-Bozüyük were ranked in the top five in the selection of logistics center location on the basis of sustainability. In this model, proximity to the railway was found to be the most important criterion. It is thought that various damages such as air pollution, emissions, traffic congestion and noise, and decrease/depletion of energy resources can be minimized by locating logistics centers in appropriate places.

Keywords

Logistics center location selection , Sustainability , LOPCOW , Gray Relational Analysis

LOPCOW-GRİ İLİŞKİSEL ANALİZ MODELİYLE SÜRDÜRÜLEBİLİRLİK TEMELİNDE LOJİSTİK MERKEZİ YER SEÇİMİ

Abstract

Türkiye’de halihazırda 12 lojistik merkez faaliyet göstermekte, 2030 yılına kadar 25 lojistik merkezin ve 2053 yılına kadar 30 lojistik merkezin işletmede olması planlanmaktadır. Sektörün sanayi, ticaret, ulaşım ve altyapı faaliyetleri gibi bileşenleri itibariyle etki edeceği sürdürülebilirlik temelinde çevresel, sosyal ve ekonomik faktörler önem kazanmaktadır. Bu çalışmada LOPCOW-GRA modeliyle Türkiye’de sürdürülebilirlik temelinde lojistik merkezi yer seçimi amaçlanmaktadır. Sürdürülebilir lojistik merkezi yeri seçiminde çevresel, sosyal ve ekonomik kriterlerin yanında, endüstri, ticaret ve hizmetin mevcut şartlarına göre ticaret potansiyeli, ulaşım ağları, arazi ve altyapı kriterleri göz önünde bulundurularak 39 kriter kullanılmıştır. Alternatif olarak planlama, proje ve tasarım aşamasında olan 8 farklı lojistik merkez ve Batı Karadeniz’de lojistik merkez potansiyeli olduğu düşünülen 4 farklı lojistik merkez lokasyonu seçilmiştir. LOPCOW-GRA modeline göre sürdürülebilirlik temelinde lojistik merkez yeri seçiminde Konya-Kayacık, Kayseri-Boğazköprü, Zonguldak-Çaycuma ve Bilecik-Bozüyük ilk 4 sırada yer almıştır. Kullanılan modele göre demiryoluna yakınlık en önemli kriterdir. Lojistik merkezlerin uygun yerlerde konumlandırılmasıyla emisyonlar, hava kirliliği, trafik sıkışıklığı ve gürültü, enerji kaynaklarının azalması/tükenmesi gibi çeşitli zararların en aza indirilebileceği düşünülmektedir

Keywords

Lojistik merkezi yer seçimi , Sürdürülebilirlik , LOPCOW , Gri İlişkisel Analiz.

References

• Biswas, S., Bandyopadhyay, G., & Mukhopadhyaya, J. N. (2022a). A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market. Decision Analytics Journal, 5, 100143.
• Biswas, S., Bandyopadhyay, G., Pamucar, D., & Sanyal, A. (2022b). A decision making framework for comparing sales and operational performance of firms in emerging market. International Journal of Knowledgebased and Intelligent Engineering Systems, 26(3), 229-248.
• Bui, V. D., & Nguyen, H. P. (2021). A Systematized review on rationale and experience to develop advanced logistics center system in Vietnam. Management, 18, 89-101.
• Canbulut, G., Köse, E., & Arik, O. A. (2021). Public transportation vehicle selection by the grey relational analysis method. Public Transport, 1-18.
• Chen, H. Y., & Lee, C. H. (2019). Electricity consumption prediction for buildings using multiple adaptive network-based fuzzy inference system models and gray relational analysis. Energy Reports, 5, 1509-1524.
• Çavuşoğlu, D., Zorba, Y., & Esmer, S. (2022). A set of criteria for logistics center development: A fuzzy analytic hierarchy process. Journal of ETA Maritime Science, 10(1), 47-60.
• Demir, G. (2022). Bilgi ve iletişim teknolojisinin G8 ülkelerindeki gelişiminin değerlendirilmesi. Journal of Business and Communication Studies, 1(2), 165-179.
• Derse, O. (2022). CO2 capture, utilization, and storage (CCUS) storage site selection using DEMATEL-based Grey Relational Analysis and evaluation of carbon emissions with the ARIMA method. Environmental Science and Pollution Research, 1-12.
• Deng, J.L. (1982). Control problems of grey systems. Systems& Control Letters, 5: 288-294.
• Dyczkowska, J. A., & Reshetnikova, O. (2022). Logistics centers in Ukraine: analysis of the logistics center in Lviv. Energies, 15(21), 7975.
• Du, J., Zhan, H., & Du, L. (2021, February). Research on site selection and algorithm of military logistics center. In Journal of Physics: Conference Series (Vol. 1792, No. 1, p. 012034). IOP Publishing.
• Ecer, F., & Pamucar, D. (2022). A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 102690.
• Elgün, M. N., & Aşıkoğlu, N. O. (2016). Lojistik köy kuruluş yeri seçiminde topsıs yöntemiyle merkezlerin değerlendirilmesi, AKÜ İİBF Dergisi, 18(1), 161-170.
• Huang, Y., Wang, X., & Chen, H. (2022). Location selection for regional logistics center based on particle swarm optimization. Sustainability, 14(24), 16409.
• Kazançoğlu, Y., Özbiltekin, M., & Özkan-Özen, Y. D. (2020). Sustainability benchmarking for logistics center location decision: An example from an emerging country. Management of Environmental Quality: An International Journal, 31(5), 1239-1260.
• Keleş, N. (2022). Adana ve Kayseri havalimanı performanslarının LOPCOW, COCOSO ve WASPAS yöntemleriyle karşılaştırılması. 2nd International Conference On Digital Business Management & Economics ICDBME-2022, September 9-11, 2022, 320-321.
• Keleş, N. (2023). Türkiye’nin 81 ilinin sağlık performansının güncel karar verme yöntemleriyle değerlendirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (75), 120-141, https://doi.org/10.51290/dpusbe.1134082.
• Khan, M. A., Jaffery, S. H. I., Khan, M., Younas, M., Butt, S. I., Ahmad, R., & Warsi, S. S. (2020). Multi-objective optimization of turning titanium-based alloy Ti-6Al-4V under dry, wet, and cryogenic conditions using gray relational analysis (GRA). The International Journal of Advanced Manufacturing Technology, 106, 3897-3911.
• Koçak, D. (2020). Green growth dynamics in OECD countries: an application of grey relational analysis. Grey Systems: Theory and Application, 10(4), 545-563.
• Özdemir, S., Keskin, B., Eren, T., & Özcan, E. (2020). Türkiye’deki lojistik merkezleri yatırım önceliklerinin değerlendirilmesinde çok kriterli karar modeli önerisi, Demiryolu Mühendisliği, (12), 83-94.
• Özmen, K. A., Nurcan, E., & Köksal, C. D. (2020). The Selection of the tourism logistics center location with AHP: a west mediterranean application. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 25(4), 403-416.
• Özmen, M., & Aydoğan, E. K. (2020). Robust multi-criteria decision making methodology for real life logistics center location problem. Artificial Intelligence Review, 53, 725-751.
• Paçacı, B., Erol, S., & Çubuk, M. K. (2022). AHP application for logistics center location selection according to criteria. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 11(4), 943-952.
• Pamučar, D., & Božanić, D. (2019). Selection of a location for the development of multimodal logistics center: Application of single-valued neutrosophic MABAC model. Operational Research in Engineering Sciences: Theory and Applications, 2(2), 55-71.
• Pekkaya, M., & Keleş, N. (2022). Determining criteria interaction and criteria priorities in the freight village location selection process: the experts' perspective in Turkey. Asia Pacific Journal of Marketing and Logistics, 34(7), 1348-1367.
• Singh, M., Rathi, R., Antony, J., & Garza-Reyes, J. A. (2023). A toolset for complex decision-making in analyze phase of Lean Six Sigma project: a case validation. International Journal of Lean Six Sigma, 14(1), 139- 157.
• Sun, Y., Lu, Y., & Zhang, C. (2019). Fuzzy linear programming models for a green logistics center location and allocation problem under mixed uncertainties based on different carbon dioxide emission reduction methods. Sustainability, 11(22), 6448.
• Sładkowski, A., Teltayev, B., & Izteleuova, M. (2020). Multi-criteria choice of the region for the construction of a logistics center based on AHP: case study for Kazakhstan. Transport Problems, 15(2), 119-131.
• Şengül, Ü., & Şengül, A. B. (2022). Fuzzy Entropy based COPRAS method in determining the investment priorities of logistics centers in survey and planning stage in Turkey. Erzincan University Journal of Science and Technology, 15(3), 964-986.
• Tomić, V., Marinković, D., & Marković, D. (2014). The selection of logistic centers location using multi-criteria comparison: case study of the Balkan Peninsula. Acta Polytechnica Hungarica, 11(10), 97-113.
• Ulutaş, A., Karakuş, C. B., & Topal, A. (2020). Location selection for logistics center with fuzzy SWARA and CoCoSo methods. Journal of Intelligent & Fuzzy Systems, 38(4), 4693-4709.
• Yavas, V., & Ozkan-Ozen, Y. D. (2020). Logistics centers in the new industrial era: A proposed framework for logistics center 4.0. Transportation Research Part E: Logistics and Transportation Review, 135, 101864.
• Yang, Z., Sun, Y., & Lee, P. T. W. (2020). Impact of the development of the China-Europe railway express–a case on the chongqing international logistics center. Transportation Research Part A: Policy and Practice, 136, 244-261.
• Yazdani, M., Muñoz-Ocaña, Y., Fernández-Rodríguez, V., & Torres-Jiménez, M. (2020). Logistics center location decision using a multi-attribute analysis structure. In Sustainability Modeling in Engineering: A MultiCriteria Perspective (pp. 1-26).
• Yıldız, K., Yerlikaya, M. A., & Keskin, B. N. (2021). Evaluation of the effect of transport networks on the kemalpaşa logistics center in logistics site selection. Politeknik Dergisi, 24(3), 833-841.
• Yu, H., Wang, N., & Pan, J. (2021). Application of fuzzy extension analytic hierarchy process in location selection of logistics center. In Journal of Physics: Conference Series (Vol. 1995, No. 1, p. 012035). IOP Publishing.