Quantitative Analysis in Prioritizing Elements for Efficient Logistics Strategies: A Case Study in Eskişehir

Authors

https://doi.org/10.48314/ramd.v2i2.69

Abstract

Logistics strategies are essential elements in the concepts of designing and operating logistics processes and systems, identifying visions, selecting feasible goals, constructing plans, decisions, and policies that help businesses in achieving their goals. Also, the issues of implementing logistics services in a shorter time, customer suitability, low cost, and customer support from pre- to after-sales have an impact on the customers’ service perceptions. By this means, better customer satisfaction can be achieved. However, the importance of factors in logistics strategy according to the customer's perspective needs to be determined. Value-added elements of acquiring internal and external customer satisfaction, decreasing costs, strengthening visibility, and presenting the right product to the right customers in a suitable place, as promotion activity shows the importance of logistics strategies for businesses. In this study, elements effective in forming logistic strategies for manufacturing firms having more than 50 employees in Eskişehir are aimed to prioritize. DEMATEL, as a Multi-Criteria Decision-Making (MCDM) technique, examines the logical relationship of factors, and researching the direct influence matrix in a complex system is handled as a prioritization method. Pythagorean Fuzzy Sets (PFS) are preferred to better explain the judgments of decision-makers in uncertainty by giving more flexibility than fuzzy and Intuitionistic Fuzzy Sets (IFS). 

Keywords:

Logistics, Forming logistics strategy, Pythagorean fuzzy sets, DEMATEL

References

  1. [1] Tokay, S. H., Deran, A., & Arslan, S. (2015). Lojistik Maliyet Yönetiminde İzlenebilecek Stratejiler Ve Muhasebe Eğitiminden Beklentiler. Dumlupınar üniversitesi sosyal bilimler dergisi, (29), 1–15. https://dergipark.org.tr/en/pub/dpusbe/issue/4771/65666
  2. [2] Memiş, S. (2019). Weighting green management practices in accommodation establishments using the entropy method: The case of Giresun province. Journal of business research, 11(1), 653–665. (In Turkiye). https://www.ceeol.com/search/article-detail?id=791290
  3. [3] Hurst, D. K. (2000). Crisis and renewal. Alfa Printing Publishing, Istanbul. (In Turkiye). https://b2n.ir/ph2283
  4. [4] Fraering, M., & Prasad, S. (1999). International sourcing and logistics: An integrated model. Logistics information management, 12(6), 451–460. https://doi.org/10.1108/09576059910299018
  5. [5] Rubio, S., Díaz, E., Martín, J., & Puente, J. M. (2004). Evaluation of subjective mental workload: A comparison of SWAT, NASA‐TLX, and workload profile methods. Applied psychology, 53(1), 61–86. https://psycnet.apa.org/doi/10.1111/j.1464-0597.2004.00161.x
  6. [6] Brewer, A. M., & Hensher, D. A. (2001). Identifying the overarching logistics strategy of business processes: an exploratory analysis. International journal of logistics, 4(1), 1–41. http://dx.doi.org/10.1080/13675560110037717
  7. [7] Korucuk, S., & Memiş, S. (2019). Prioritization of green port applications performance criteria with the DEMATEL method: The istanbul example. Avrasya uluslararası araştırmalar dergisi, 7(16), 134–148. (In Turkiye). https://dergipark.org.tr/en/download/article-file/677887
  8. [8] Ülgen, H. (2013). Strategic management in business. Beta. (In Turkiye). https://www.scirp.org/reference/referencespapers?referenceid=2936597
  9. [9] Waters, D. (2003). Logistics: An introduction to supply chain management. Palgrave macmillan. https://www.scirp.org/reference/referencespapers?referenceid=2991614
  10. [10] McGinnis, M. A., & Kohn, J. W. (2002). Logistics strategy—revisited. Journal of business logistics, 23(2), 1–17. https://doi.org/10.1002/j.2158-1592.2002.tb00023.x
  11. [11] Ratliff, H. D., & Nulty, W. G. (2008). Logistics composite modeling the logistics instıtute at georgia tech. https://B2n.ir/xs9365
  12. [12] GUPTA, D. (1993). On measurement and valuation of manufacturing flexibility. The international journal of production research, 31(12), 2947–2958. https://doi.org/10.1080/00207549308956909
  13. [13] Lambert, D. M., & Stock, J. R. (1993). Strategic logistics management (Vol. 69). Irwin Homewood, IL. https://cir.nii.ac.jp/crid/1970023484913118166
  14. [14] Ballou, R. H., & Srivastava, S. K. (2007). Business logistics/supply chain management: planning, organizing, and controlling the supply chain. Pearson Education India. https://www.scirp.org/reference/referencespapers?referenceid=1576533
  15. [15] Mahapatra, S. (2003). Modeling the supply chain; Jeremy F. Shapiro. Journal of business logistics, 24, 1–31. http://dx.doi.org/10.1002/j.2158-1592.2003.tb00040.x
  16. [16] Turan, E. (2025). Strategic logistics applications and contributions to competition in the ready-made clothing industry. (In Turkiye). http://dx.doi.org/10.13140/RG.2.2.10918.84807
  17. [17] Calantone, R., & Di Benedetto, A. (2007). Clustering product launches by price and launch strategy. Journal of business & industrial marketing, 22, 4–19. http://dx.doi.org/10.1108/08858620710722789
  18. [18] McGinnis, M. A., & Kohn, J. W. (1993). Logistics strategy, organizational environment, and time competitiveness. Journal of business logistics, 14(2), 1. https://B2n.ir/ju8434
  19. [19] Cooper, M. C., & Ellram, L. M. (1993). Characteristics of supply chain management and the implications for purchasing and logistics strategy. The international journal of logistics management, 4(2), 13–24. https://doi.org/10.1108/09574099310804957
  20. [20] Closs, D. J., & Clinton, S. R. (1997). Logistic strategy: Does it exist? Journal of business logistics, 18(1), 1–19. https://b2n.ir/wp9397
  21. [21] Stock, G. N., Greis, N. P., & Kasarda, J. D. (1998). Logistics, strategy and structure: A conceptual framework. International journal of operations & production management, 18(1), 37–52. https://doi.org/10.1108/01443579810192772
  22. [22] Savitskie, K. (2007). Internal and external logistics information technologies: The performance impact in an international setting. International journal of physical distribution & logistics management, 37(6), 454–468. https://doi.org/10.1108/09600030710763378
  23. [23] Bilginer, N., & Kayabasi, A. (2007). Evaluation of logistics activities of enterprises from a competitive perspective: An application on manufacturing enterprises. Ege academic review, 7(2), 629–644. (In Turkiye). https://ideas.repec.org/a/ege/journl/v7y2007i2p629-644.html
  24. [24] Spillan, J. E., Kohn, J. W., & McGinnis, M. A. (2010). A study of logistics strategies in small versus large US manufacturing firms. Journal of transportation management, 21(1), 1–21. http://dx.doi.org/10.22237/jotm/1270080240
  25. [25] Erten, S. (2010). Logistics process management analysis of a public institution. Dokuz Eylul University. (In Turkiye). https://B2n.ir/zz3948
  26. [26] McGinnis, M. A., Harcar, T., Kara, A., & Spillan, J. E. (2011). Cross-cultural validation of the factorial structure of a logistics strategy model: A three-country study. Journal of transportation management, 22(2), 25–43. http://dx.doi.org/10.22237/jotm/1317427380
  27. [27] Beškovnik, B., & Twrdy, E. (2012). Green logistics strategy for south east europe: To improve intermodality and establish green transport corridors. Transport, 27(1), 25–33. https://doi.org/10.3846/16484142.2012.663731
  28. [28] Yıldız, M. S., Bilgin, Y., & Yazgan, H. (2013). Examining the factors that lead businesses to invest in logistics activities: The example of Çınar Boru Profil Sanayi ve Ticaret AŞ. Business and economics research journal, 4(4), 131–145. (In Turkiye). https://b2n.ir/gb1844
  29. [29] Dinter, B. (2013). Success factors for information logistics strategy—An empirical investigation. Decision support systems, 54(3), 1207–1218. https://doi.org/10.1016/j.dss.2012.09.001
  30. [30] Kolińska, K., & Cudziło, M. (2014). Comparison of logistics indicators as a way of improving efficiency of supply chains. Research in logistics & production, 4(1), 21–31. https://b2n.ir/qr7297
  31. [31] Şekkeli, Z. H. (2015). A field research on the effects of logistics strategies on logistics capabilities abstract. The journal of social sciences, 2(5), 398–398. (In Turkiye). http://dx.doi.org/10.16990/SOBIDER.119
  32. [32] Akiş, E. (2016). The logistics sector in Turkey and its impact on competitiveness. Istanbul Kültür university/faculty of economics and administrative sciences/department of economics. (In Turkiye). http://hdl.handle.net/11413/1236
  33. [33] Erdal, H., & Korucuk, S. (2018). Determining innovation priorities in the logistics sector: A comparative analysis. Kocaeli university journal of social sciences, (36), 1–24. (In Turkiye). https://dergipark.org.tr/en/pub/kosbed/issue/43239/525061
  34. [34] Sağlam, M. (2019). The distribution of Turkey's exports by transportation modes and the potential effects of an integrated logistics strategy on Turkey's export performance: A study on exporting firms in Konya [Thesis]. (In Turkiye).
  35. [35] Mendes, A., Cruz, J., Saraiva, T., Lima, T. M., & Gaspar, P. D. (2020). Logistics strategy (fifo, fefo or lsfo) decision support system for perishable food products [presentation]. 2020 international conference on decision aid sciences and application (DASA) (pp. 173–178). https://doi.org/10.1109/DASA51403.2020.9317068
  36. [36] Qin, X., Liu, Z., & Tian, L. (2021). The optimal combination between selling mode and logistics service strategy in an e-commerce market. European journal of operational research, 289(2), 639–651. https://doi.org/10.1016/j.ejor.2020.07.029
  37. [37] Korucuk, S., Memiş, S., & Karamaşa, Ç. (2022). The rating of confusion in supply chain dynamics in food business and selecting the most ideal capacity strategy during COVID-19. In Cases on supply chain management and lessons learned from Covid-19 (pp. 39–61). IGI Global Scientific Publishing. http://dx.doi.org/10.4018/978-1-7998-9140-6.ch003
  38. [38] Korucuk, S., Aytekin, A., Ecer, F., Pamucar, D., & Karamaşa, Ç. (2022). Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA-CoCoSo framework. Management decision, 1(29), 1434–1462. http://dx.doi.org/10.1108/MD-12-2021-1621
  39. [39] Aytekin, A., Korucuk, S., Bedirhanoğlu, Ş. B., & Simic, V. (2024). Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology. Engineering applications of artificial intelligence, 127, 107347. https://doi.org/10.1016/j.engappai.2023.107347
  40. [40] Yager, R. R. (2013). Pythagorean fuzzy subsets. Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. IEEE. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375
  41. [41] Zhang, X. (2016). A novel approach based on similarity measure for Pythagorean fuzzy multiple criteria group decision making. International journal of intelligent systems, 31(6), 593–611. https://doi.org/10.1002/int.21796
  42. [42] Zhou, L., Dai, G., Qin, R., Tang, M., & Qiu, J. (2018). Risk analysis of gob coal spontaneous combustion in methane-rich, combustion-prone coal seam based on intuitionistic fuzzy DEMATEL. Journal of failure analysis and prevention, 18(4), 975–987. https://doi.org/10.1007/s11668-018-0492-7
  43. [43] Yazdi, M., Nedjati, A., Zarei, E., & Abbassi, R. (2020). A novel extension of DEMATEL approach for probabilistic safety analysis in process systems. Safety science, 121, 119–136. https://doi.org/10.1016/j.ssci.2019.09.006
  44. [44] Fontela, E. (1974). Structural analysis of the world problematique:(Methods). Battelle Geneva Research Centre. https://B2n.ir/nw3797
  45. [45] Bai, C., & Sarkis, J. (2013). A grey-based DEMATEL model for evaluating business process management critical success factors. International journal of production economics, 146(1), 281–292. https://doi.org/10.1016/j.ijpe.2013.07.011
  46. [46] Tseng, M.-L., & Lin, Y. H. (2009). Application of fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila. Environmental monitoring and assessment, 158(1), 519–533. https://doi.org/10.1007/s10661-008-0601-2
  47. [47] Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications, 32(2), 499–507. https://doi.org/10.1016/j.eswa.2005.12.005
  48. [48] Tsai, W. H., & Chou, W. C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert systems with applications, 36(2, Part 1), 1444–1458. https://doi.org/10.1016/j.eswa.2007.11.058
  49. [49] Cui, F. B., You, X. Y., Shi, H., & Liu, H. C. (2018). Optimal siting of electric vehicle charging stations using pythagorean fuzzy VIKOR APPROACH. Mathematical problems in engineering, 2018(1), 9262067. https://doi.org/10.1155/2018/9262067
  50. [50] Baykasoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z. D. U., & Şahin, C. (2013). Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert systems with applications, 40(3), 899–907. https://doi.org/10.1016/j.eswa.2012.05.046
  51. [51] Dalalah, D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert systems with applications, 38(7), 8384–8391. https://doi.org/10.1016/j.eswa.2011.01.031

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Published

2025-06-14

Issue

Vol. 2 No. 2 (2025): Risk Assessment and Management Decisions (RAMD)

Section

Articles

How to Cite

Korucuk, S. ., Bayazit Bedirhanoğlu, Şule ., & Karamaşa, Çağlar . (2025). Quantitative Analysis in Prioritizing Elements for Efficient Logistics Strategies: A Case Study in Eskişehir. Risk Assessment and Management Decisions, 2(2), 95-106. https://doi.org/10.48314/ramd.v2i2.69

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