Measuring the Performance of Logistics Enterprises Using a Multi-Criteria Decision-Making Model

Dang Thanh Tuan (), Ho Thanh Phong, Nguyen Ngoc Ai Thy () and Le Minh Thuan
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Dang Thanh Tuan: Hong Bang International University
Ho Thanh Phong: Hong Bang International University
Nguyen Ngoc Ai Thy: Industrial University of Ho Chi Minh City
Le Minh Thuan: Hong Bang International University

A chapter in Proceeding of the 19th International Congress on Logistics and Supply Chain Management Systems, 2026, pp 99-113 from Springer

Abstract: Abstract The logistics industry in Vietnam plays a pivotal role in the national economy, yet it continues to face significant challenges related to operational efficiency, high costs, and limited competitiveness. Developing a comprehensive, objective, and practically relevant set of performance evaluation criteria for logistics enterprises has become necessary. This study proposes a multi-criteria decision-making (MCDM) model that integrates the CRITIC and TOPSIS methods to assess the performance of six prominent logistics enterprises in Vietnam. The CRITIC method is employed to determine the objective weights of 11 criteria covering economic, social, and service level dimensions, while the TOPSIS method is applied to rank the operational performance of the selected companies. The results indicate that the PetroVietnam Transportation Corporation (PVTrans) achieved the highest performance score, while Tan Cang Logistics maintained the most stable ranking across different scenarios. Additionally, both Transimex Logistics and PVTrans demonstrated a significant dependency on inventory turnover and scope of operation. This research contributes to developing a practical tool to support managers in resource allocation and performance improvement strategies, thereby enhancing the competitive advantage of logistics enterprises.

Keywords: operational performance; evaluation criteria; multi-criteria decision-making; CRITIC; TOPSIS (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-981-95-7700-2_8

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