Affiliation:
1. Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
2. Department of Business and Administration, ILMA University, Karachi 75190, Pakistan
Abstract
Logistics centers (LCs) have become a critical component of supply chain networks, playing an essential role in the development and implementation of logistics and supply chain management strategies. Recognizing the importance of LCs, Pakistan and China have initiated an extensive plan to establish and expand an LC system as part of the China–Pakistan Economic Corridor (CPEC) initiative. However, the implementation of this plan has faced challenges due to the inadequate prioritization of factors used to identify LCs. This research proposes a structured framework for selecting LC locations, employing a combination of fuzzy logic and the technique for order of preference by similarity to the ideal solution (TOPSIS). These widely used methods address various challenges encountered in location selection. The findings highlight crucial logistics hubs in China and Pakistan, emphasizing factors such as port accessibility, freight demand, and transportation costs. The prioritization of criteria for LC selection is determined through the evaluation of variables and alternatives. The proposed framework enhances decision-making based on multiple criteria by addressing uncertainty and subjective assessments.
Funder
Belt and Road Program of China Association for Science and Technology
Joint Program of Liaoning Provincial Natural Science Foundation of China
Leading Talents Support Program of Dalian Municipal Government
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
European Commission Horizon 2020
Leading Talents Support Program of Dalian
Liaoning Provincial Education Department 2021 Scientific Research Funding Program
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