Assessment of factors affecting logistics efficiency in the textile and garment industry at VSIP Quang Ngai: An analytic hierarchy process approach
Published: August 8, 2026
Abstract
This study evaluates factors affecting logistics efficiency in the textile and garment industry at VSIP Quang Ngai Industrial Park using the Analytic Hierarchy Process. Based on a literature review and expert assessments, seven factor groups are examined: logistics infrastructure, information technology, management capability, human resources, logistics costs, supply chain collaboration, and the institutional environment. The findings identify logistics management capability as the most influential factor, followed by human resources and information technology. The results emphasize that effective governance, workforce quality, and digital transformation are essential for reducing costs, improving delivery performance, and strengthening competitiveness. The study provides a scientific basis for enterprises to prioritize investments, improve logistics operations, enhance supply chain coordination, and formulate sustainable logistics development strategies at VSIP Quang Ngai.
Keywords
logisticsAHPtextile and garment industryVSIP Quang Ngailogistics efficiency
References
1.
Hiệp hội Doanh nghiệp Dịch vụ Logistics Việt Nam (VLA) (2023). Báo cáo chi phí logistics Việt Nam. https://vla.com.vn/cat-giam-chi-phi-logistics-nang-cao-nang-luc-canh-tranh-cua-nen-kinh-te-cac-yeu-to-cau-thanh-chi-phi-logistics/
2.
Hiệp hội Dệt May Việt Nam - VITAS. (2023). Dệt may kỳ vọng kim ngạch xuất khẩu năm 2024 đạt 44 tỷ USD. Cổng thông tin điện tử VITAS. http://www.vietnamtextile.org.vn/det-may-ky-vong-kim-ngach-xuat-khau-nam-2024-dat-44-ty-usd_p1_1-1_2-1_3-597_4-6944.html
3.
Trần Nguyễn Hợp Châu, Trịnh Thùy Trang (2022). Các nhân tố ảnh hưởng đến hiệu quả hoạt động logistics tại Châu Á - Một số đề xuất đối với Việt Nam. Tạp chí Kinh tế - Luật và Ngân hàng. https://vjol.info.vn/index.php/HVNH-KHDAOTAONH/article/view/69861.
4.
Bowersox D. J., Closs D. J., Cooper M. B., & Bowersox J. C. (2013). Supply chain logistics management (4th ed.). McGraw-Hill Education, USA.
5.
Christopher M. (2016). Logistics and supply chain management: logistics & supply chain management. Pearson, UK.
6.
Bowersox D. J., Closs D. J., & Cooper M. B. (2007). Supply Chain Logistics Management (2nd ed.). McGraw-Hill/Irwin.
7.
Gunasekaran A., Patel C., & Tirtiroglu E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71-87.
8.
Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International journal of production economics, 87(3), 333-347.
9.
Limao N., & Venables A. J. (2001). Infrastructure, geographical disadvantage, transport costs, and trade. World Bank Economic Review, 15(3), 451-479.
10.
Mentzer J. T., Flint D. J., & Hult G. T. M. (2001). Logistics service quality as a segment-customized process. Journal of marketing, 65(4), 82-104.
11.
Observatory of Economic Complexity (OEC). (2024). Vietnam Textile and Garment Export Data. Available at link
12.
Saaty T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
13.
Vinh Thai (2013). Logistics service quality: conceptual model and empirical evidence. International Journal of Logistics Research and Applications, 16(2), 114-131.
14.
World Bank (2023). Connecting to Compete 2023: Trade Logistics in an Uncertain Global Economy - The Logistics Performance Index and Its Indicators. Washington, DC: World Bank.
15.
World Bank. (2018). Connecting to compete 2018: Trade logistics in the global economy: The Logistics Performance Index and its indicators.
