A Prioritization Model for Investments : A Case Study at Volvo Group Trucks Operations

Volvo’s plant in Umeå has a constant need for development, where to start new activities like projects and investments are important tools, where the competition on the market is increasing. The need for investments are major compared to the resources available, both in terms of human resources and economic resources. The plant needs to prioritize trying to choose what kind of investments are the best for the plant’s future. The problem is that there is a lack of reliable priority model for investments that consider several different parameters. To solve this issue the goal is to create a useful model that can work as a tool to prioritize projects and investments in an appropriate and reliable way. The study began with a literature review to make the researcher approach the subject and gather the knowledge needed for this study. After this, qualitative semi-structured interviews were made with different managers at the plant, to acquire their expertise and knowledge regarding the selection of criteria and their preferences of how the model should work. The next step was to analyze the old model used at the plant, its strengths, and weaknesses. At the same time, constant discussions were held with the supervisor and his manager but as well with the university, mainly through seminars. When the researcher felt he was ready he started to create the new model. There were 30 criteria included in the model, mainly collected through interviews. The large number of criteria collected were sorted into Volvo’s catchwords SQDCEP (Safety, Quality, Delivery, Cost, Environmental, People). These were decided to function as the main criteria in the model, and all the 30 criteria were called sub-criteria. The model itself originates from a process called the Analytical Hierarchy Process (AHP). It is an established and wellknown methodology to make prioritizations. Its main idea is to compare every single project against each other which makes the method very thoughtful, solid and probably better than other ones. The conclusion is that the model is complete and should work perfectly to be used for Volvo and other companies in the complex manufacturing industry. Furthermore, the criteria chosen for the model should also be applicable for other similar companies to Volvo, as the criteria are not unique