Complementing traditional forecasting for the service market through telematics A case Study at Volvo Group

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dc.contributor.authorGranic, Martin
dc.contributor.authorMerkwart, Arnold
dc.contributor.departmentChalmers tekniska högskola / Institutionen för teknikens ekonomi och organisationsv
dc.contributor.departmentChalmers University of Technology / Department of Technology Management and Economicsen
dc.date.accessioned2019-07-03T14:37:35Z
dc.date.available2019-07-03T14:37:35Z
dc.date.issued2017
dc.description.abstractPurpose - The purpose of this master thesis is to understand the current service market supply chain of the studied company as well as to investigate which connected vehicle data is suitable for complementing the current forecasting approach. Furthermore, how can the suitable data set be used to perform a more accurate forecast. Through an investigation of a company case the research describes various existing connected vehicle parameters and explains how they could affect the forecast. Additionally, this thesis investigates if the selected data set leads to a higher forecasting quality regarding demand out of the central distribution center. Methodology - This study combines quantitative and qualitative methodologies. Therein, the qualitative evaluation is supporting the quantitative findings from the connected vehicle data, in order to fulfill the purpose. The empirical data were collected and analyzed from semi-structured interviews with employees, in order to understand the current process. Historical data collection from the company’s database was analyzed to identify potential of the data. Due to the enormous amount of data from different sources a data management tool was needed to be developed to understand how the data is related. The company can afterwards continue with the tool in their daily work. The main limitations of the study are the limited amount of seven service parts as well as the focus on the European market. Findings - The findings of the analysis are presented parameter by parameter and give a clear description on how connected vehicle data influence the current forecast approach. Using the mileage and the age of trucks as a leading indicator when forecasting service parts, has the potential to contribute to higher forecast quality and therefore, reduction of inventory levels, total inventory costs as well as higher up-time and lead to a higher customer satisfaction. Contributions - This thesis contributes by investigating a framework for the complementation of traditional forecasting with the use of connected vehicle data. The created forecasting framework supports the decision making process for spare parts in the service market and include not only the company, but also the dealers. Furthermore, new insights are given how to handle the data within the different company units.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/251726
dc.language.isoeng
dc.relation.ispartofseriesMaster thesis. E - Department of Technology Management and Economics, Chalmers University of Technology, Göteborg, Sweden : E2017:033
dc.setspec.uppsokTechnology
dc.subjectTransport
dc.subjectÖvrig industriell teknik och ekonomi
dc.subjectTransport
dc.subjectOther industrial engineering and economics
dc.titleComplementing traditional forecasting for the service market through telematics A case Study at Volvo Group
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeSupply chain management (MPSCM), MSc
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