Using Data Envelopment Analysis to Optimize the Localization of Multimodal Platforms along a Railway in Northeastern Brazil

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Year:
2015
Type of Publication:
Article
Keywords:
Multimodal Platforms, Data Envelopment Analysis, Logistics, Optimization
Authors:
Daniela Hereid
Journal:
IJISM
Volume:
3
Number:
6
Pages:
283-286
Month:
November
Abstract:
The need for efficient transportation networks has grown exponentially over the past decades. Loading and unloading operations are often slow and costly, raising overall freight and cargo costs. To facilitate distribution and reduce the cost and time of loading and unloading, systems need to be optimized and well integrated. In this article we describe a study conducted at the Laboratory of Industrial Optimization and Management (LOGIN) of the Ceará State University (UECE), Brazil. Based on data envelopment analysis (DEA), a mathematical model was developed to determine the ideal locations of six multimodal platforms along the Transnordestina railway in Ceará. The multimodal platforms optimize connectivity and operations, avoid storage and bottlenecks, reduce permanence and cargo redistribution time, and speed up processing. The optimization of these processes significantly increases the flow of people and cargo.
Full text: IJISM_478_Final.pdf

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