A comparative analysis of predictive analytics tools with integrated What-if modules for transport industry

被引：0

作者：

Ben Rabia, Mohamed Amine ^{[1
]}

Bellabdaoui, Adil ^{[2
]}

机构：

[1] Mohammed V Univ Rabat, Informat Technol & Management ITM, Rabat, Morocco

[2] Mohammed V Univ Rabat, Informat Technol & Management ITM, ENSIAS, Rabat, Morocco

来源：

2022 14TH INTERNATIONAL COLLOQUIUM OF LOGISTICS AND SUPPLY CHAIN MANAGEMENT (LOGISTIQUA2022) | 2022年

关键词：

Simulation-based Analytics; Business Analytics; Artificial Intelligence; predictive analytics; What-if analysis; freight transport; AHP; Multi-criteria decision making; FREIGHT TRANSPORT; INTELLIGENCE; CARGO;

D O I：

10.1109/LOGISTIQUA55056.2022.9938042

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The freight transport sector is facing more than ever major innovations and challenges. Digital transformation and analytics tend to optimize traditional work methods and accelerate workflows. This paper focuses on the problem of choosing an analytics solution that allows the prediction of future cases based on historical data and integrates packages that permit to run what-if simulations. Faced with a multitude of criteria required by freight transport professionals, we propose to solve it by implementing the Analytical Hierarchy Process-AHP method. The use of a collaborative approach during the AHP process allowed us to obtain relevant and accurate results.

引用

页码：357 / 362

页数：6

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