内陆集装箱码头和水路服务的综合模拟,以加强儒安维尔港和伊塔波阿港之间的海上供应链连通性

Raiza Celeghin Benedecti , Vanina Macowski Durski Silva , Gustavo Adolfo Alves da Costa
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引用次数: 0

摘要

海运在巴西经济中发挥着举足轻重的作用,2021 年占出口的 88%,进口的 73%。这一巨大贡献使圣卡塔琳娜州成为全国第二大集装箱装卸地,占全国总量的 24%。伊塔波阿港在集装箱货物吞吐量方面排名第五,儒安维尔市则以港口货物吞吐量大而闻名,鉴于伊塔波阿港和儒安维尔市的重要性,本研究重点关注该地区错综复杂的海运供应链动态。本文的主要贡献在于提出了在儒安维尔和伊塔波阿港之间建立内陆集装箱码头和水路服务的建议,并通过基于代理的模拟模型和财务分析进行了评估。建议的框架在运营和经济上都具有可行性,是一种具有竞争力的选择,与目前的方案相比,终端客户的成本可降低 2%。研究结果表明,这种方法对 Joinville 的客户服务水平产生了积极影响,卡车停留时间明显减少了 65%。此外,这种方法还促进了环境可持续发展,使温室气体排放量减少了 65%。这些成果是通过大幅减少 49% 的卡车数量和 84% 的平均行驶距离实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated simulation of an inland container terminal and waterway service for enhancing the maritime supply chain connectivity between Joinville and Itapoá Port

Maritime transportation plays a pivotal role in the Brazilian economy, accounting for 88 % of exports and 73 % of imports in 2021. This substantial contribution has positioned Santa Catarina State as the second-largest container handler in the country, representing 24 % of the national total. Given the significance of Itapoá Port, which ranks fifth in containerized cargo handling, and the city of Joinville, known for its substantial cargo movement through the Port, this study focuses on the intricate dynamics of the maritime supply chain in this region. The primary contribution of this paper is the proposal of an inland container terminal and waterway service between Joinville and Itapoá Port, evaluated through an Agent-Based Simulation Model and financial analysis. The proposed framework demonstrates both operational and economic viability and emerges as a competitive option, yielding a 2 % reduction in costs for end customers compared to the current scenario. The results indicate a positive impact on the level of service offered to customers in Joinville, with a notable 65 % reduction in truck dwell time. Additionally, this approach fosters a more environmentally sustainable operation, achieving a 65 % decrease in greenhouse gas emissions. These outcomes are realized through a significant 49 % reduction in the number of trucks and an 84 % decrease in their average travel distance.

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