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Taşımacılıkta Yük Güvenliği için Lashing Sabitleme Hizmeti Seçimi

Yıl 2025, Cilt: 8 Sayı: 18, 32 - 46, 30.09.2025
https://doi.org/10.55830/tje.1605650

Öz

Ürünlerin hasar veya kayıp olmadan taşınmasını sağlamak, tedarik zinciri boyunca değerlerini korumak esastır. Taşımacılık sırasında hasarı ve kayıpları önlemek için ürünlerin güvence altına alınması gerekmektedir. Ürünlerin emniyetini ve güvenliğini sağlamada, sürdürülebilirlik ekseninde operasyonel mükemmelliği de sağlayacak bir lashing hizmet sağlayıcısının seçilmesi, ürünlerin güvenli ve emniyetli taşınması için çok önemlidir. Bu çalışmanın amacı, taşımacılıkta ürün güvenliği için sürdürülebilir bir lashing hizmet sağlayıcısının seçilmesinde bir karar destek sistemi oluşturmaktır. Bu amaçla, ilk aşamada literatür taramasına göre kriterler belirlenmiş, kriterler SWARA yöntemi ile ağırlıklandırılmış ve MAUT yöntemi ile dört alternatif firma arasından bir lashing hizmet sağlayıcısı seçimi yapılmıştır. Kriter ağırlıklandırmasında en önemli ana kriter operasyonel mükemmellik olmuş, bunu ekonomik, sosyal ve çevresel sürdürülebilirlik ana kriterleri takip etmiştir. Ekonomik sürdürülebilirliğin alt kriterleri olan lojistik maliyetleri ve fiyatları en yüksek ağırlığa sahip kriter olmuştur. Alternatif seçiminde birincil tercih olarak Alternatif 1 lashing şirketi olarak belirlenmiştir. Çalışmanın, sektördeki karar vericilere bütünleşik SWARA-MAUT yaklaşımıyla rehberlik etmesi umulmaktadır.
Anahtar Kelimeler: Lashing Hizmet Sağlayıcı Seçimi, MAUT, SWARA, Sürdürülebilirlik
Araştırma Alanı: İşletme, Lojistik Mühendisliği
Araştırma Türü: Araştırma
JEL Kodları: C44, L91, M11, Q56

Kaynakça

  • Agrawal, N. (2022). Multi-Criteria Decision-Making Toward Supplier Selection: Exploration of PROMETHEE II Method. Benchmarking: An International Journal, 29(7), 2122-2146. doi:https://doi.org/10.1108/BIJ-02-2021-0071
  • Akpınar , M. E. (2021). Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences, 7(3),371-382. doi:https://doi.org/10.29132/ijpas.972885
  • Alavi, B., Tavana, M., ve Mina, H. (2021). A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy. Sustainable Production and Consumption, 27, 905-920. doi:https://doi.org/10.1016/j.spc.2021.02.015
  • Andersson, L. D. (1999). Container lashing. Technology, Law and Insurance, 4(3-4), 191–196. doi:https://doi.org/10.1080/135993799348901
  • Badi, İ., ve Pamucar, D. (2020). Supplier Selection for Steelmaking Company by Using Combined Grey-MARCOS Methods. Decision Making: Applications in Management and Engineering, 3(2), 37-48. doi:https://doi.org/10.31181/dmame2003037b
  • Blanloeuil, P. H. (2024, February). Multi-Objective Evolutionary Optimisation of Lashing System. In 11th Australasian Congress on Applied Mechanics (ACAM2024) (s. Brisbane: Engineers Australia.). Brisbane: Engineers Australia.
  • Cristea, C., ve Cristea, M. (2017). A multi-criteria decision making approach for supplier selection in the flexible packaging industry. The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 – CoSME’16. 94, s. 06002. EDP Sciences. doi:https://doi.org/10.1051/matecconf/20179406002
  • Debnath, B., Bari, A., Haq, M., Pacheco, D., ve Khan, M. (2023). An İntegrated Stepwise Weight Assessment Ratio Analysis and Weighted Aggregated Sum Product Assessment Framework for Sustainable Supplier Selection in the Healthcare Supply Chains. Supply chain analytics, 1, 100001. doi:https://doi.org/10.1016/j.sca.2022.100001
  • Ecer, F., ve Pamucar, D. (2020). Sustainable Supplier Selection: A Novel İntegrated Fuzzy Best Worst Method (F-BWM) and Fuzzy CoCoSo with Bonferroni (CoCoSo’B) Multi-Criteria. Journal of cleaner production, 266, 121981. doi:https://doi.org/10.1016/j.jclepro.2020.121981
  • Feng, J., ve Gong, Z. (2020). Integrated Linguistic Entropy Weight Method and Multi-Objective Programming Model for Supplier Selection and Order Allocation in a Circular Economy: A Case Study. Journal of Cleaner Production, 277, 122597. doi:https://doi.org/10.1016/j.jclepro.2020.122597
  • Giri, B. C., Molla, M. U., ve Biswas, P. (2022). Pythagorean Fuzzy DEMATEL Method for Supplier Selection in Sustainable Supply Chain Management. Expert Systems with Applications, 193, 116396. doi:https://doi.org/10.1016/j.eswa.2021.116396
  • Govindan, K., Mina , H., Esmaeili, A., ve Gholami-Zanjani, S. (2020). An İntegrated Hybrid Approach for Circular Supplier Selection and Closed Loop Supply Chain Network Design Under Uncertainty. Journal of Cleaner Production,, 242, 118317. doi:https://doi.org/10.1016/j.jclepro.2019.118317
  • Govindan, K., Rajendran, S., Sarkis, J., ve Murugesan, P. (2015). Multi criteria Decision Making Approaches for Green Supplier Evaluation and Selection: A Literature Review. Journal of Cleaner Production, 98, 66-83. doi:https://doi.org/10.1016/j.jclepro.2013.06.046
  • Haeri, S., ve Rezaei, J. (2019). A Grey-Based Green Supplier Selection Model for Uncertain Environments. Journal of Cleaner Production, 221, 768-784. doi:https://doi.org/10.1016/j.jclepro.2019.02.193
  • Hosseini , Z. S., Flapper, S. D., ve Pirayesh, M. (2022). Sustainable Supplier Selection and Order Allocation Under Demand, Supplier Availability and Supplier Grading Uncertaintyes. Computers & İndustrial Engineering, 165, 107811. doi:https://doi.org/10.1016/j.cie.2021.107811
  • International Maritime Organization [IMO]. (2014, Aralık 16). Quick Lashing Guide. Londra.
  • Kalogeraki, E. M., Apostolou, D., Polemi, N., ve Papastergiou, S. (2018). Knowledge Management Methodology for İdentifying Threats in Maritime/Logistics Supply Chains. Knowledge Management Research & Practice, 16(4), 508–524. doi:https://doi.org/10.1080/14778238.2018.1486789
  • Kang, B. S., Jung, C. H., ve Kim, D. B. (2020). A Study on Lashing Standards for Car Ferry Ships Sailing in Smooth Sea Areas. Journal of the Korean Society of Marine Environment & Safety,, 26(1), 1-7.
  • Kannan, D., Mina, H., Abarghooee, S., ve Khosrojerdi, G. (2020). Sustainable Circular Supplier Selection: A Novel Hybrid Approach. Science of the Total Environment, 722, 137936. doi:https://doi.org/10.1016/j.scitotenv.2020.137936
  • Khan, A., ve Ali, Y. (2021). Sustainable Supplier Selection for the Cold Supply Chain (CSC) in the Context of a Developing Country. Environment, Development and Sustainability, 13135–13164. doi:https://doi.org/10.1007/s10668-020-01203-0
  • Khoshfetrat, S., Galankashi, M., ve Almasi, M. (2020). Sustainable Supplier Selection and Order Allocation: A Fuzzy Approach. Engineering Optimization, 52(9), 1494-1507. doi:https://doi.org/10.1080/0305215X.2019.1663185
  • Kilic , H., ve Yalcin, A. (2020). Modified Two-Phase Fuzzy Goal Programming İntegrated with IF-TOPSIS for Green Supplier Selection. Applied Soft Computing, 93, 106371.
  • Kim, J. H. (2019). A Study on the Safe Transportation of A Non-Standardized Cargo (Steel Box) for General Cargo Ships. Journal of Navigation and Port Research, 43(6), 444-449. doi:https://doi.org/10.5394/KINPR.2019.43.6.444
  • Kim, Y., Choung, J., Jo, H., ve Lee, K. (2016). Force Equilibrium-Based Safety Assessment System for Cargo Securing of Car Ferries. Journal of Advanced Research in Ocean Engineering. Journal of Advanced Research in Ocean Engineering, 2(3), 112-128.
  • Kumar, D., ve Rahman, Z. (2015). Sustainability Adoption Through Buyer Supplier Relationship Across Supply Chain: A Literature Review and Conceptual Framework. International Strategic Management Review, 3(1-2), 110-127. doi:http://dx.doi.org/10.1016/j.ism.2015.04.002
  • Lee, C., Lee, M. K., ve Shin, J. Y. (2021). Lashing Force Prediction Model with Multimodal Deep Learning and AutoML for Stowage Planning Automation in Containerships. Logistics, 5(1), 5(1), 1. doi:https://doi.org/10.3390/logistics5010001
  • Li, C., Cai, Z., ve Wang, D. (2021). Dynamic İnvestigation of a Seven-Tier Container Stack with Different Lashing Arrangements Subject to Rolling and Pitching Excitation. Ships and Offshore Structures, 17(7), 1581-1591. doi:https://doi.org/10.1080/17445302.2021.1937792
  • Li, M., Wang, G., Liu, K., Lu, Y., ve Wang, J. (2024). Experimental and Numerical Analysis of Supporting Forces and Lashing Forces in a Ship Cargo Securing Scheme. Journal of Marine Science and Engineering, 12(1)(158), 12, 158. doi:https://doi.org/10.3390/jmse12010158
  • Mabrouk, N. (2021). Green Supplier Selection Using Fuzzy Delphi Method for Developing Sustainable Supply Chain. Decision Science Letters, 10(1), 63-70. doi:10.5267/j.dsl.2020.10.003
  • Mahmoudi, A., Deng, X., Javed, S. A., ve Zhang, N. (2021). Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach. Business Strategy and the Environment, 30(1), 318-339. doi:https://doi.org/10.1002/bse.2623
  • Mina, H., Kannan, D., Zanjani, S. G., ve Biuki, M. (2021). Transition Towards Circular Supplier Selection in Petrochemical İndustry: A Hybrid Approach to Achieve Sustainable Development Goals. Journal of Cleaner Production, 286, 125273. doi:https://doi.org/10.1016/j.jclepro.2020.125273
  • North of England P&I Association., ve Bliault, C. (2007). Cargo Stowage and Securing. North of England P&I Association.
  • Olanrewaju, O. G., Dong, Z. S., ve Hu, S. (2020). Supplier Selection Decision Making in Disaster Response. Computers & Industrial Engineering, 143, 106412. doi:https://doi.org/10.1016/j.cie.2020.106412
  • Pajić, V., Kilibarda, M., ve Andrejić, M. (2023). A Novel Hybrid Approach for Evaluation of Resilient 4PL Provider for E-Commerce. Mathematics, 11(3), 511. doi:https://doi.org/10.3390/math11030511
  • Pamucar, D., Torkayesh, A. E., ve Biswas, S. (2023). Supplier Selection in Healthcare Supply Chain Management During the COVID-19 Pandemic: A Novel Fuzzy Rough Decision-Making Approach. Annals of Operations Research, 328(1), 977-1019. doi:https://doi.org/10.1007/s10479-022-04529-2
  • Pamucar, D., Ulutaş, A., Topal, A., Karamaşa, Ç., ve Ecer, F. (2024). Fermatean Fuzzy Framework Based on Preference Selection İndex and Combined Compromise Solution Methods for Green Supplier Selection in Textile İndustry. International Journal of Systems Science: Operations & Logistics, 11(1), 2319786. doi:https://doi.org/10.1080/23302674.2024.2319786
  • Pinar, A., ve Boran, F. E. (2020). A q-Rung Orthopair Fuzzy Multi-Criteria Group Decision Making Method for Supplier Selection Based on A Novel Distance Measure. International Journal of Machine Learning and Cybernetics, 11, 1749-1780. doi:https://doi.org/10.1007/s13042-020-01070-1
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LASHING SERVICE PROVIDER SELECTION FOR CARGO SAFETY IN TRANSPORTATION

Yıl 2025, Cilt: 8 Sayı: 18, 32 - 46, 30.09.2025
https://doi.org/10.55830/tje.1605650

Öz

Ensuring that the goods are transported without damage or loss is essential to preserve their value throughout the supply chain. It is necessary to secure the goods to prevent damage during transportation. In ensuring the safety and security of goods, selecting a lashing service provider that will also provide operational excellence in the sustainability axis is essential for the safe and secure transportation of goods. The aim of this study is to create a decision support system in selecting a sustainable lashing service provider for goods security in transportation. In this purpose, criteria were determined according to literature review in the first stage, the criteria were weighted by SWARA method, and a lashing service provider selection was made from four alternatives by MAUT method. The most important main criterion in the criteria weighing was operational excellence, followed by the main criteria of economic, social and environmental sustainability. Logistics costs and prices, which is sub-criteria of economic sustainability, is the criteria with the highest weight. Alternative 1 lashing company was determined as the primary choice in alternative selection. It is hoped that the study will guide decision makers in the sector with the integrated SWARA-MAUT approach.
Keywords: Lashing Service Provider Selection, MAUT, SWARA, Sustainability
Research Field: Business Administration, Logistics Engineering
Research Type: Research
JEL Codes: C44, L91, M11, Q56

Kaynakça

  • Agrawal, N. (2022). Multi-Criteria Decision-Making Toward Supplier Selection: Exploration of PROMETHEE II Method. Benchmarking: An International Journal, 29(7), 2122-2146. doi:https://doi.org/10.1108/BIJ-02-2021-0071
  • Akpınar , M. E. (2021). Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences, 7(3),371-382. doi:https://doi.org/10.29132/ijpas.972885
  • Alavi, B., Tavana, M., ve Mina, H. (2021). A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy. Sustainable Production and Consumption, 27, 905-920. doi:https://doi.org/10.1016/j.spc.2021.02.015
  • Andersson, L. D. (1999). Container lashing. Technology, Law and Insurance, 4(3-4), 191–196. doi:https://doi.org/10.1080/135993799348901
  • Badi, İ., ve Pamucar, D. (2020). Supplier Selection for Steelmaking Company by Using Combined Grey-MARCOS Methods. Decision Making: Applications in Management and Engineering, 3(2), 37-48. doi:https://doi.org/10.31181/dmame2003037b
  • Blanloeuil, P. H. (2024, February). Multi-Objective Evolutionary Optimisation of Lashing System. In 11th Australasian Congress on Applied Mechanics (ACAM2024) (s. Brisbane: Engineers Australia.). Brisbane: Engineers Australia.
  • Cristea, C., ve Cristea, M. (2017). A multi-criteria decision making approach for supplier selection in the flexible packaging industry. The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 – CoSME’16. 94, s. 06002. EDP Sciences. doi:https://doi.org/10.1051/matecconf/20179406002
  • Debnath, B., Bari, A., Haq, M., Pacheco, D., ve Khan, M. (2023). An İntegrated Stepwise Weight Assessment Ratio Analysis and Weighted Aggregated Sum Product Assessment Framework for Sustainable Supplier Selection in the Healthcare Supply Chains. Supply chain analytics, 1, 100001. doi:https://doi.org/10.1016/j.sca.2022.100001
  • Ecer, F., ve Pamucar, D. (2020). Sustainable Supplier Selection: A Novel İntegrated Fuzzy Best Worst Method (F-BWM) and Fuzzy CoCoSo with Bonferroni (CoCoSo’B) Multi-Criteria. Journal of cleaner production, 266, 121981. doi:https://doi.org/10.1016/j.jclepro.2020.121981
  • Feng, J., ve Gong, Z. (2020). Integrated Linguistic Entropy Weight Method and Multi-Objective Programming Model for Supplier Selection and Order Allocation in a Circular Economy: A Case Study. Journal of Cleaner Production, 277, 122597. doi:https://doi.org/10.1016/j.jclepro.2020.122597
  • Giri, B. C., Molla, M. U., ve Biswas, P. (2022). Pythagorean Fuzzy DEMATEL Method for Supplier Selection in Sustainable Supply Chain Management. Expert Systems with Applications, 193, 116396. doi:https://doi.org/10.1016/j.eswa.2021.116396
  • Govindan, K., Mina , H., Esmaeili, A., ve Gholami-Zanjani, S. (2020). An İntegrated Hybrid Approach for Circular Supplier Selection and Closed Loop Supply Chain Network Design Under Uncertainty. Journal of Cleaner Production,, 242, 118317. doi:https://doi.org/10.1016/j.jclepro.2019.118317
  • Govindan, K., Rajendran, S., Sarkis, J., ve Murugesan, P. (2015). Multi criteria Decision Making Approaches for Green Supplier Evaluation and Selection: A Literature Review. Journal of Cleaner Production, 98, 66-83. doi:https://doi.org/10.1016/j.jclepro.2013.06.046
  • Haeri, S., ve Rezaei, J. (2019). A Grey-Based Green Supplier Selection Model for Uncertain Environments. Journal of Cleaner Production, 221, 768-784. doi:https://doi.org/10.1016/j.jclepro.2019.02.193
  • Hosseini , Z. S., Flapper, S. D., ve Pirayesh, M. (2022). Sustainable Supplier Selection and Order Allocation Under Demand, Supplier Availability and Supplier Grading Uncertaintyes. Computers & İndustrial Engineering, 165, 107811. doi:https://doi.org/10.1016/j.cie.2021.107811
  • International Maritime Organization [IMO]. (2014, Aralık 16). Quick Lashing Guide. Londra.
  • Kalogeraki, E. M., Apostolou, D., Polemi, N., ve Papastergiou, S. (2018). Knowledge Management Methodology for İdentifying Threats in Maritime/Logistics Supply Chains. Knowledge Management Research & Practice, 16(4), 508–524. doi:https://doi.org/10.1080/14778238.2018.1486789
  • Kang, B. S., Jung, C. H., ve Kim, D. B. (2020). A Study on Lashing Standards for Car Ferry Ships Sailing in Smooth Sea Areas. Journal of the Korean Society of Marine Environment & Safety,, 26(1), 1-7.
  • Kannan, D., Mina, H., Abarghooee, S., ve Khosrojerdi, G. (2020). Sustainable Circular Supplier Selection: A Novel Hybrid Approach. Science of the Total Environment, 722, 137936. doi:https://doi.org/10.1016/j.scitotenv.2020.137936
  • Khan, A., ve Ali, Y. (2021). Sustainable Supplier Selection for the Cold Supply Chain (CSC) in the Context of a Developing Country. Environment, Development and Sustainability, 13135–13164. doi:https://doi.org/10.1007/s10668-020-01203-0
  • Khoshfetrat, S., Galankashi, M., ve Almasi, M. (2020). Sustainable Supplier Selection and Order Allocation: A Fuzzy Approach. Engineering Optimization, 52(9), 1494-1507. doi:https://doi.org/10.1080/0305215X.2019.1663185
  • Kilic , H., ve Yalcin, A. (2020). Modified Two-Phase Fuzzy Goal Programming İntegrated with IF-TOPSIS for Green Supplier Selection. Applied Soft Computing, 93, 106371.
  • Kim, J. H. (2019). A Study on the Safe Transportation of A Non-Standardized Cargo (Steel Box) for General Cargo Ships. Journal of Navigation and Port Research, 43(6), 444-449. doi:https://doi.org/10.5394/KINPR.2019.43.6.444
  • Kim, Y., Choung, J., Jo, H., ve Lee, K. (2016). Force Equilibrium-Based Safety Assessment System for Cargo Securing of Car Ferries. Journal of Advanced Research in Ocean Engineering. Journal of Advanced Research in Ocean Engineering, 2(3), 112-128.
  • Kumar, D., ve Rahman, Z. (2015). Sustainability Adoption Through Buyer Supplier Relationship Across Supply Chain: A Literature Review and Conceptual Framework. International Strategic Management Review, 3(1-2), 110-127. doi:http://dx.doi.org/10.1016/j.ism.2015.04.002
  • Lee, C., Lee, M. K., ve Shin, J. Y. (2021). Lashing Force Prediction Model with Multimodal Deep Learning and AutoML for Stowage Planning Automation in Containerships. Logistics, 5(1), 5(1), 1. doi:https://doi.org/10.3390/logistics5010001
  • Li, C., Cai, Z., ve Wang, D. (2021). Dynamic İnvestigation of a Seven-Tier Container Stack with Different Lashing Arrangements Subject to Rolling and Pitching Excitation. Ships and Offshore Structures, 17(7), 1581-1591. doi:https://doi.org/10.1080/17445302.2021.1937792
  • Li, M., Wang, G., Liu, K., Lu, Y., ve Wang, J. (2024). Experimental and Numerical Analysis of Supporting Forces and Lashing Forces in a Ship Cargo Securing Scheme. Journal of Marine Science and Engineering, 12(1)(158), 12, 158. doi:https://doi.org/10.3390/jmse12010158
  • Mabrouk, N. (2021). Green Supplier Selection Using Fuzzy Delphi Method for Developing Sustainable Supply Chain. Decision Science Letters, 10(1), 63-70. doi:10.5267/j.dsl.2020.10.003
  • Mahmoudi, A., Deng, X., Javed, S. A., ve Zhang, N. (2021). Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach. Business Strategy and the Environment, 30(1), 318-339. doi:https://doi.org/10.1002/bse.2623
  • Mina, H., Kannan, D., Zanjani, S. G., ve Biuki, M. (2021). Transition Towards Circular Supplier Selection in Petrochemical İndustry: A Hybrid Approach to Achieve Sustainable Development Goals. Journal of Cleaner Production, 286, 125273. doi:https://doi.org/10.1016/j.jclepro.2020.125273
  • North of England P&I Association., ve Bliault, C. (2007). Cargo Stowage and Securing. North of England P&I Association.
  • Olanrewaju, O. G., Dong, Z. S., ve Hu, S. (2020). Supplier Selection Decision Making in Disaster Response. Computers & Industrial Engineering, 143, 106412. doi:https://doi.org/10.1016/j.cie.2020.106412
  • Pajić, V., Kilibarda, M., ve Andrejić, M. (2023). A Novel Hybrid Approach for Evaluation of Resilient 4PL Provider for E-Commerce. Mathematics, 11(3), 511. doi:https://doi.org/10.3390/math11030511
  • Pamucar, D., Torkayesh, A. E., ve Biswas, S. (2023). Supplier Selection in Healthcare Supply Chain Management During the COVID-19 Pandemic: A Novel Fuzzy Rough Decision-Making Approach. Annals of Operations Research, 328(1), 977-1019. doi:https://doi.org/10.1007/s10479-022-04529-2
  • Pamucar, D., Ulutaş, A., Topal, A., Karamaşa, Ç., ve Ecer, F. (2024). Fermatean Fuzzy Framework Based on Preference Selection İndex and Combined Compromise Solution Methods for Green Supplier Selection in Textile İndustry. International Journal of Systems Science: Operations & Logistics, 11(1), 2319786. doi:https://doi.org/10.1080/23302674.2024.2319786
  • Pinar, A., ve Boran, F. E. (2020). A q-Rung Orthopair Fuzzy Multi-Criteria Group Decision Making Method for Supplier Selection Based on A Novel Distance Measure. International Journal of Machine Learning and Cybernetics, 11, 1749-1780. doi:https://doi.org/10.1007/s13042-020-01070-1
  • Porter, M. E. (1990). The Competitive Advantage of Nations. New York, NY: Free Press.
  • Rouyendegh, B. D., Yildizbasi, A., ve Üstünyer, P. (2020). Intuitionistic Fuzzy TOPSIS Method for Green Supplier Selection Problem. Soft computing, 24, 2215-2228. doi:https://doi.org/10.1007/s00500-019-04054-8
  • Sarabi, E. P., ve Darestani, S. A. (2021). Developing a Decision Support System for Logistics Service Provider Selection Employing Fuzzy MULTIMOORA & BWM in Mining Equipment Manufacturing. Applied Soft Computing, 98, 106849. doi:https://doi.org/10.1016/j.asoc.2020.106849
  • Seçkin, G. Ü. (2023). Lojistik Sektöründe Lashing ve Unlashing Operasyonlarının Yük Taşımacılığındaki Önemi. Sosyal Bilimler Araştırma Dergisi, 12(1), 166-179.
  • Selçuk, P. (2022). Circular Supplier Selection Using İnterval-Valued İntuitionistic Fuzzy Sets. Environment, Development and Sustainability, 24(4), 5551-5581.
  • Seuring, S., ve Müller, M. (2008). From a Literature Review to A Conceptual Framework for Sustainable Supply Chain Management. Journal of Cleaner Production, 16(15), 1699-1710. doi:10.1016/j.jclepro.2008.04.020
  • Stević, Ž., Pamučar, D., Puška, A., ve Chatterjee, P. (2020). Sustainable Supplier Selection in Healthcare İndustries Using a New MCDM Method: Measurement of Alternatives and Ranking According to Compromise Solution (MARCOS). Computers & İndustrial Engineering, 140,106231. doi:https://doi.org/10.1016/j.cie.2019.106231
  • Tavana, M., Shaabani, A., Caprio, D., ve Bonyani, A. (2021). An İntegrated Group Fuzzy Best-Worst Method and Combined Compromise Solution with Bonferroni Functions for supplier Selection in Reverse Supply Chains. Cleaner Logistics and Supply Chain, 2, 100009. doi:https://doi.org/10.1016/j.clscn.2021.100009
  • Tirkolaee , E. B., Mardani, A., Dashtian, Z., Soltani, M., ve Weber, G. W. (2020). A Novel Hybrid Method Using Fuzzy Decision Making and Multi-Objective Programming for Sustainable-Reliable Supplier Selection in Two-Echelon Supply Chain Design. Journal of Cleaner Production, 250, 119517. doi:https://doi.org/10.1016/j.cie.2020.106412
  • Tong, L. Z., Wang, J., & Pu, Z. (2022). Sustainable Supplier Selection for SMEs Based on an Extended PROMETHEE II Approach. Journal of Cleaner Production, 330, 129830. doi:https://doi.org/10.1016/j.jclepro.2021.129830
  • Waluś, K. J., Olszewski, Z., ve Krawiec, P. (2023). Tension testing and analysis of cargo lashing straps in road transport. In AIP Conference Proceedings. 2976 (1). AIP Publishing. doi:https://doi.org/10.1063/5.0172818
  • Wang, C.-N., Nguyen, N.-A.-T., Dang, T. T., ve Lu, C. M. (2021). A Compromised Decision-Making Approach Tothird-Party Logistics Selection in Sustainable Supply Chain Using Fuzzy AHP and Fuzzy VIKOR Methods. Mathematics, 9(8), 886. doi:https://doi.org/10.3390/math9080886
  • Yung-yu TSENG, W. L. ( 2005). The Role of Transportatıon ın Logıstıcs Chaın. Proceedings of the Eastern Asia Society for Transportation Studies.
  • Zhang, D., Tang, Y., Clarke, D. B., Peng, Q., ve Dong, C. (2019). An İnnovative Method for Calculating Diagonal Lashing Force of Cargo on Railway Wagons in A Curve Alignment. Vehicle System Dynamics, 59(3), 352-374. doi:https://doi.org/10.1080/00423114.2019.1686160
  • Zhang, X., Li, Z., ve Wang, Y. (2020). A Review of the Criteria and Methods of Reverse Logistics Supplier Selection. Processes, 8(6)(705), 8, 705. doi:https://doi.org/10.3390/pr8060705
Toplam 52 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme , Sürdürülebilir Operasyon Yönetimi
Bölüm Makaleler
Yazarlar

Merve Malgır 0009-0007-0593-4151

Pınar Gürol 0000-0001-7368-1757

Erken Görünüm Tarihi 1 Ekim 2025
Yayımlanma Tarihi 30 Eylül 2025
Gönderilme Tarihi 22 Aralık 2024
Kabul Tarihi 10 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 18

Kaynak Göster

APA Malgır, M., & Gürol, P. (2025). Taşımacılıkta Yük Güvenliği için Lashing Sabitleme Hizmeti Seçimi. İstanbul Ticaret Üniversitesi Girişimcilik Dergisi, 8(18), 32-46. https://doi.org/10.55830/tje.1605650