<p>The diagnosis system of a Scania vehicle is an indispensable tool for workshop personnel and engineers in their work. Today Scania has a system for fetching diagnostic information from field test vehicles remotely and store them in a database, so called remote diagnosis. This saves the engineers much time by not having to visit every vehicle. The system uses a Windows based on-board PC in the vehicle called an Interactor. The Interactor has a telematic unit for communication with Scanias Fleet Management System and the CAN-bus in the vehicle. In the next generation of the Interactor, its telematic unit is to be replaced by a Linux based telematic unit called the Communicator 200 (C200). The purpose of this master project is to create a new architecture for a remote diagnosis system that uses the new telematic unit Communicator 200.</p><p><br />The thesis gives an analysis of the current remote diagnosis system used at Scania and proposes an architecture for a new generation remote diagnosis system using the C200. Also a system for demonstrating how to perform remote diagnosis over the C200 has been built. The thesis describes the operation and how the demonstration system was implemented.</p>

No description available.

In my dissertation there are all basic data and abstracts, which involve the questions of fleet of Zdravotnická záchranná služba Jihočeského kraje. Mostly I was concentrated on the structure of fleet as well as costs. Currently I tried to describe the problems of logistics and fleet management. Through the analysis of fleet I solved the questions related to costs and incomes of this company. Further I prepared structural analyse, which concentrates on the number and types of cars, also the satisfaction, which is connected with their using. The detailed analysis enabled me to penetrate and explore the branch of costs and incomes. All data are described with graphs and tables.

This diploma thesis is about electronic and information systems for machine opera-tion control. The theoretical part describes transport telematics, the main systems of satellite positioning used in transport and the specific application of these systems in selected branches. In the practical part, the evaluation of the telematics application Fleet Management in joint-stock company Lesostavby Frýdek-Místek, which uses this system for the control and management of its own fleet, was carried out. The various tools of the given system and their use were described. According to the system outputs after the measurement, the accuracy of the track length recording when moving vehicles on the road was evaluated.

Corporate responsibility is increasingly involved in corporate reputation, and so, in the economic success of a company. Car fleet operating companies are exposed to criticism and, as a direct result of this many corporate protagonists responsible for the operation of car fleets are developing measures to decrease CO2 emissions and fuel consumption. A second trend is the increasing usage of image-generating marketing actions in the worldwide ‘information society’. For various reasons, these image campaigns do not always lead to the expected improvements in corporate reputation. The crucial question is, how do these marketing actions, in the name of corporate social responsibility, relate to corporate reputation? The objective of this research is to establish rules for these relationships and to derive a new stakeholder approach to optimise corporate reputation regarding car fleet management marketing. First of all this study examines theoretical evidence in preparation for further empirical studies on the behaviour of sustainable car fleet management. With this in mind, the thesis looks at empirical evidence about the factors deemed necessary for successful responsible car fleet operation and its marketing. After conducting an online survey with more than 300 respondents, a multiple-embedded-case study with three cases, six supplementary cases, and several stakeholders represents the main part of this work. As a result, this work depicts, through three models, and via a new stakeholder approach (a combination of the three), the relationships of certain main types of firm with main types of fleet as well as the main types of marketing to support corporate reputation. Unexpected findings regarding the suitable intensity of communication to internal and external stakeholders have emerged. This approach successfully supports the design of sustainable car fleet management and a suitable arrangement of the marketing approach.

The aim of this thesis is to work out a topic regarding airliner acquisition and financing methods. Fleet planning is an important decision-making process because acquiring an aircraft is a capital-intensive investment. There are different methods of acquiring and financing and each of them have its advantages and disadvantages which complies different operational, tactical and strategical needs of an airline. The aim is also to analyze and describe current and forecast situation within the airline industry both globally and regionally. The last part is dedicated to flight fleet management instruments, such as performance, operational, financial metrics and indicators that helps an airline to operate its fleet efficiently, and a case study based upon a real ACMI contract.

The Internet of Things and connected devices has been getting more and more recognition in multiple industries the last few years. At the same time, the gathering of data is withholding a more central role for both companies and civilians. One type of Internet of Things is enabled by telecommunication Service Providers(TSP)providing SIMcards in devices, functioning by an advanced telecommunication infrastructure. This study aims to examine how these TSPs can leverage data generated by the communication infrastructure, by providing an additional data-as-a-service (DaaS) to current customers. The study was done at a global TSP within the area of SIM-fleet management/IoT enablement. The number of industries that are starting to connect devices are growing extensively, to get all types of information regarding the devices ranging from electricity-usage &amp; geocoordinates to performance or other useful information. The data that is sent by the SIM-card belongs to the customer, and the TSPs does not access it. However, the telecommunication infrastructure generates data created by the communication of the devices, which is gathered by the TSP. Since a huge amount of data is attained by the TSP offering the infrastructure, the aim for this study is to examine eventual obstacles and opportunities of a DaaSoffering. How the data is to be delivered, customers connectivity-needs and how current insights streams are delivered are examples of subjects the study will examine. The work has its foundation in a theoretical reference frame and a qualitative empirical study. The theoretical reference provides a theoretical overview of the industry's development and earlier research within the area. It was created by conducting a literature study combined with reports provided by trade organizations and other stakeholders. The empirical study contains 6 interviews with employees at a global TSP, with an extensive history of connected devices. The two parts were then compiled in order to compare the result with the theoretical background. It appeared that a lot of the challenges of developing a DaaS from the result agreed with the theoretical reference frame. The customers' differences in connectivity-maturity was shown to pose a great challenge to standardize a DaaS-offering, and the clients analytical needs were dependent on the same premises. Furthermore DaaS is considered to have a great effect on the industry's future development, / Internet of Things och uppkopplade produkter har blivit ett allt vanligare begrepp inom flertalet branscher. Samtidigt har datainsamling blivit en mer central del av alltifrån affärsmodeller till något vanliga konsumenter har i åtanke. En variant av Internet of Things tillhandahålls genom SIM-kort i produkter, som tillhandahålls av operatörer, och funktionerar genom kommunikationsnätverk. Denna studie är en akademisk utredning kring hur dessa operatörer kan utnyttja data genererat från telekommunikations-infrastruktur till en tjänst för nuvarande kunder. Studien är utförd hos en global operatör inom området av SIM-fleet Management/IoT-enablement. Fler och fler industrier går mot att koppla upp produkter för att få information kring alltifrån prestanda, elanvändning hos produkten, geografisk position eller annan information som önskas. Den data som skickas tillhandahålls av kund, vilket operatören inte har någon tillgång till. Dock så genererar kommunikationen i sig data genom kommunikationsnätverket, som operatören samlar in. I och med att mängder av data blir tillgänglig för operatörerna som tillhandahåller infrastrukturen, är syftet med denna rapport att undersöka eventuella hinder och möjligheter att erbjuda kunder ytterligare data som en tjänst i sig. Hur datan ska levereras, kundernas analysbehov och hur nuvarande insikter levereras är några exempel på det studien utreder. Arbetet grundar sig i en litteraturstudie och en kvalitativ empirisk studie. Litteraturstudien ger en bakgrund och teoretisk överblick kring branschens utveckling och litteraturens syn på området. Detta gjordes genom vetenskapliga publikationer samt diverse rapporter från branschorganisationer och intressenter. Den empiriska studien genomfördes genom 6 intervjuer med anställda på en global operatör med lång historisk inom uppkopplade produkter. De två delarna sammanställdes sedan för att jämföra resultatet med den teoretiska bakgrunden. Det visades sig vara mycket i resultat som stämde överens med de teoretiska aspekterna kring utmaningar med att erbjuda Data-as-aService (DaaS). Kundernas olika mognadsgrad i sin uppkoppling visades sig vara en stor utmaning i att standardisera en DaaS, och kundernas analysbehov gick ofta isär på samma premisser. Vidare anses DaaS ha stor påverkan på hur branschen fortsätter utvecklas i framtiden, och konsensus är tjänsten i framtiden kommer bli mer och mer datadriven.

[pt] Esta dissertação tem como objetivo contribuir para o gerenciamento de frotas de grande porte, buscando uma maior rapidez e eficiência na distribuição de veículos ao longo do tempo/espaço, visando maximizar o lucro total da empresa. Problemas de gerenciamento de frotas dinâmicas são normalmente formulados como uma rede dinâmica, mas há uma grande dificuldade ao se trabalhar com problemas desse tipo, especialmente quando se busca uma solução sobre um horizonte de planejamento longo. Visando contornar essa dificuldade, Powell & Carvalho (1998) desenvolveram uma nova abordagem para problemas desse tipo: a Logistics Queuing Network (LQN). A utilização do algoritmo LQN na prática (através de um software) permitiria uma tomada de decisão mais rápida e eficiente, sendo bastante útil, em especial para empresas de transportes. Assim, implementou-se o algoritmo LQN, através do desenvolvimento de um software para o gerenciamento de frotas de grande porte, por meio do qual podese constatar o potencial de aplicação desse algoritmo. / [en] The objective of this dissertation is to contribute to the large-scale fleet management, looking for a greater efficiency and speed in vehicle distribution over time and space, while maximizing total profit. Dynamic fleet management problems are normally formulated as a dynamic network, but it`s really difficult to work with problems of this class, especially when we look for a solution over a large planning horizon. In order to overcome this problem, Powell & Carvalho (1998) developed a new formulation for these problems: the Logistics Queuing Network. The use of its algorithm in real problems (using a software) would allow quickly and more efficient decisions in transports, being really useful especially for transports enterprises. For this reason, the algorithm LQN was implemented, through the development of a software for the large-scale fleet management, so we could verify the potential application of this algorithm.

The heavy duty vehicle industry has today no requirement to providea tire pressure monitoring system by law. This has created issues sur-rounding unknown tire pressure and thread depth during active service.There is also no standardization for these kind of systems which meansthat different manufacturers and third party solutions work after theirown principles and it can be hard to know what works for a given vehicletype. National Highway Traffic Safety Administration (NHTSA) put out a new study that determined that underinflated tires of 25% or less are 3 times more likely to be involved in a crash related to tire issues versus vehicles with properly inflated tires. The objective for this thesis is to create an indirect tire monitoring system that can generalize a method that detect both incorrect tire pressure and thread depth for different type of vehicles within a fleet without the need for additional physical sensors or vehicle specific parameters. Drivec Bridge hardware interprets existing sensors from the vehicle. By using supervised machine learning a classifier was created for each axle where the main focus was the front axle which had the most issues.The classifier will classify the vehicles tires condition. The classifier will be implemented in Drivecs cloud service and use data to classify  the tires condition. The resulting classifier of the project is a random forest implemented in Python. The result from the front axle with a dataset consisting of 9767 samples of buses with correct tire condition and 1909 samples of buses with incorrect tire condition it has an accuracy of90.54% (±0.96%). The data sets are created from 34 unique measurements from buses between January and May 2017. The developed solution is called Indirect Tire Monitoring System (ITMS) and is seen as a process. The project group has verified with high accuracy that a vehicle has been classified as bad and then been reclassified as good over a time span of 16 days. At the first day offboard measurements were performed and it showed that the tires of the front axle were underinflated. The classifier indicated that the vehicle had bad classifications until day 14. At this day an offboard measurement was performed and it was concluded that they were no longer underinflated and the classifier indicated this as well. To verify the result the workshop was contacted and verified that the vehicle had changed tires of the front axle at day 14. This has verified that the classifier is able to detect change and stay consistent in the results over a longer time period.

Aim of this master thesis is to describe the service of Full Service Leasing, as a modern form of financing and management of assets, primarily automobile fleet. Description of full service leasing is designed as a comprehensive and complete guide to support reader's position when deciding to finance and manage a fleet by this service. Whether the reader is an entrepreneur, CFO, fleet manager, new employee of leasing company, or anyone who is interested in this service, this master thesis will give him information that would otherwise be obtained only very fragmented. Chapters individualy present full service leasing from different perspectives and author's comments are linking them in a single unit.