A performance indicator framework for providing data-driven services to European truckload carriers

From identification of performance indicators to framework development

Master thesis (2021)

Authors

R.B. van Zwieteren Civil Engineering & Geosciences

Contributors

Lorant Tavasszy Transport and Planning - CEG (supervisor 1)
B. Atasoy Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (supervisor 2)
Henk Taale Transport and Planning - CEG (supervisor 2)
Tom Hornstra ExternalOrganization (coach)
Faculty
Civil Engineering & Geosciences
Copyright: © 2021 Raymond van Zwieteren
Tracking Identification Framework Performance measurement Truckload carrier Association Indicators
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Published Date

12-01-2021

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

The past decade has seen a rise in ability to collect, store and manage large amounts of data. With data becoming increasingly available to businesses, organizations are looking to new ways to gain insight into their activities. Acquired information can help transportation companies to cope with industry trends of expanded competition, the increasing pressure for lower transportation costs and higher service levels. The challenge for truckload carrier companies lies in determining which data is of value to the business. Understanding performance indicators and how to measure these is an important aspect of using data. To propose a solution, a framework is developed, in which clear performance indicators are reported, as well as how these can be measured.