University of Twente Student Theses


Estimating the white-collar hours with statistical learning

Verschuur, P.G. (2022) Estimating the white-collar hours with statistical learning.

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Abstract:Systems (VES), Almelo. VES produces compressors and turbines with for example piping and electricity for the oil and gas market. Both departments want to have a better insight into the number of white-collar hours needed per project. A project is one customer order and can consist of multiple pieces and designs. The insight is necessary because of two reasons. Sales department wants to make more competitive bids in their sales process, while project management cares about the timeline and progress after the handover from sales. A good estimated bid that leads to a sold project decreases the number of budget overruns during operations. Currently, the only way of estimating the white-collar hours, which both departments rely on, is based on expert judgement. For the blue-collar hours, the hours made by workers in the workshop, sales has a tool that estimates the number of hours based on historical data. The goal of this research is to develop such a model of the white-collar hours, to help the sales department in their decision making and ultimately help project management by selling better-estimated projects.
Item Type:Essay (Master)
VDL Energy Systems, ENSCHEDE, Nederland
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:30 exact sciences in general
Programme:Industrial Engineering and Management MSc (60029)
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