Economic and environmental location of logistics integration centers: the Brazilian soybean transportation case
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Economic and environmental location of logistics integration centers: the Brazilian soybean transportation case Conrado V. Plaza1,2 · Vanessa de A. Guimarães3 · Glaydston Ribeiro1 · Laura Bahiense4 Received: 19 January 2020 / Accepted: 6 May 2020 © Sociedad de Estadística e Investigación Operativa 2020
Abstract This paper presents a study to locate logistics integration centers (LICs) by applying a capacitated multi-layer location-allocation mathematical model, considering economic (transport and installation costs) and environmental criteria (CO2 emissions). This model is applied on scenarios that include information of the National Logistics and Transport Plan about soybean transport in Brazil. The economic and environmental gains obtained by the optimized location of LICs are evaluated, indicating savings in both logistics costs (between 22 and 40%) and carbon emissions (between 24 and 38%). The application of the proposed mathematical model supports the decision-makers to elaborate better strategic plans that can improve the utilization of the intermodal transport, making the logistic system operations more efficient, both economically and environmentally. Keywords Logistics integration centers · Location problem · Logistics · CO2 emissions · Soybean Mathematics Subject Classification 90C90 · 90-08
1 Introduction The Brazilian transport sector has relevant structural problems, due to the lack of an integrated development planning of its transport system, which compromise the economic and social development of the country (Fleury and Wanke 2006). The CNT 2018 Report (CNT 2018 2018) highlights, as consequences of these gaps, the imbalances in the transport matrix (with different levels of efficiency in the operation of
* Laura Bahiense [email protected] Extended author information available on the last page of the article
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the transport modes), inequalities between regions, and barriers to the movement of goods and people (compromising the quality of the provided services). These structural problems turn the road mode the most used, leading to negative economic and environmental impacts. According to the Brazilian Energy Balance reports (EPE 2018, 2019) the transport sector accounted for 45.8% of CO2 emissions in 2017 and 46.1% of CO2-eq in 2018. Aiming to improve the transportation system, different structural plans was developed over the past two decades at both the federal and state levels. Among them, the National Logistics and Transport Plan (NLTP; PNLT, in portuguese) (PNLT 2007, 2009, 2011) stands out. It is a multi-annual plan, consisting of production and consumption matrices, estimated for groups of products with indications on the current transport infrastructure as well as on planned investments, with predictions up to 20 years ahead. These plans point out the need of specific investments in transportation infrastructure (expansion or implementation), as well as the need to optimize the operations, aiming to multimodality and intermodality, in favor
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