Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet

IF 8.2 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers in Industry Pub Date : 2023-10-01 DOI:10.1016/j.compind.2023.103971

Guilherme X. Ferreira , Melise Maria V. de Paula , Rafael P. Pagan , Bruno G. Batista

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引用次数: 0

Abstract

Fleet planning and management activities are essential to establish the quantity and type of vehicles needed to pursue production plans and reduce costs. In steel companies, logistic analysts are responsible for these fleet activities. However, analysts still face challenges assessing fleet utilization due to the volume and form in which the data is found. Normally, this type of problem is out of the scope of fleet planning models in the literature. For information extraction from massive and complex databases, visual analytics is an alternative that employs data analysis and visualization techniques. This research investigates visual analytics to support industrial vehicle fleet management. As a result, two artifacts were developed: a fleet measurement model and Fleet Profile, a visual analytics solution. Two research cycles, each one producing a Fleet Profile version that was evaluated with real cases after the development. Findings from the analysis of the evaluation contents indicated that the Fleet Profile’s visual description could help to evaluate fleet utilization and identify gaps for fleet optimization.

查看原文本刊更多论文

车队概况:使用可视化分析来预测工业车队的物流解决方案

车队规划和管理活动对于确定执行生产计划和降低成本所需的车辆数量和类型至关重要。在钢铁公司，物流分析师负责这些车队活动。然而，由于数据的数量和形式，分析师在评估车队利用率方面仍然面临挑战。通常，这类问题不在文献中舰队规划模型的范围内。对于从庞大而复杂的数据库中提取信息，视觉分析是一种采用数据分析和可视化技术的替代方法。本研究调查了支持工业车队管理的视觉分析。因此，开发了两个工件：一个是车队测量模型，另一个是可视化分析解决方案fleet Profile。两个研究周期，每个周期生成一个Fleet Profile版本，并在开发后用真实案例进行评估。对评估内容的分析结果表明，车队概况的视觉描述有助于评估车队利用率，并确定车队优化的差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers in Industry 工程技术-计算机：跨学科应用

CiteScore

18.90

自引率

8.00%

发文量

152

审稿时长

22 days

期刊介绍： The objective of Computers in Industry is to present original, high-quality, application-oriented research papers that: • Illuminate emerging trends and possibilities in the utilization of Information and Communication Technology in industry; • Establish connections or integrations across various technology domains within the expansive realm of computer applications for industry; • Foster connections or integrations across diverse application areas of ICT in industry.