Developing innovation through data collection and analysis

This paper is part of the study, for the creation of maintenance engineering culture and a system capable to control the input and output of vehicles operation and maintenance in developing countries. The focus of this paper will be the use of digital technologies to change business models, basing on the analyses of the data collected to develop innovation in transport system by creation of a system that works according to the local needs. This work has, as case of study, the transport system in Cape Verde (Praia city); a bus company, operating in the city for more than 40 years, will provide the data for analyses. The study of the exploitation efficiency of the transport system will focus in the analyses of the data collected, after the definition of the data for collection, is defined how the data will be analysed and used in order to create the desired solution. In this paper is also defined the platform used for data collection. The definition and selection of the vehicle systems/components for data collection has been supported by engineers and mechanics with long experience and knowledge of the local situation as well as vehicles operation and maintenance. The information that, if collected and analysed correctly, can help transform the vehicle operation and maintenance, data collection can empower us to direct resources toward the modules that are in most pressing need of technical refinement. With this knowledge base, we will be able to use predictive analysis to identify what, how and where to improve the services and manage the vehicle maintenance and operation.

---

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).