NCC

Master’s thesis - Digitalization and machine learning for a future data-driven production line of concrete piles

NCC ger dig som student möjlighet att göra ditt ex-jobb tillsammans med oss. Förutom att skriva om ett intressant ämne är ex-jobbet ett bra tillfälle att lära känna vår organisation, få värdefull erfarenhet och knyta kontakter för framtiden. Dessutom lär vi känna dig och du får visa vad du kan!

Background
NCC is one of the major concrete pile producers in Sweden. The production of the piles is to a large extent automated and thereby depends on several parameters, such as material parameters connected to cement type, environmental parameters of the surrounding environment and other parameters such as water supply. Controlling these parameters is of importance in order to develop the production line of tomorrow.

Purpose
The purpose of this Master’s thesis is to investigate the information and data connected to the production of concrete piles

Aim
The aim is to identify the parameters and define their influence on the production line of concrete piles.

Implementation
The study will be performed as a case study with data from the pile production plants of NCC. By means of machine learning correlations between parameters and plant, the performance will be investigated

Credits (poäng): 
Master’s Thesis 30 hp
Location: Göteborg
Unit: NCC AB / Engineering / Structural Engineering
Supervisor: Rasmus Rempling NCC R&I, Jonas Magnusson NCC Structural Engineering
Contact: Rasmus Rempling NCC R&I, rasmus.rempling@ncc.se
Deadline for application: 2019-11-25
Time-frame: Spring term 2020

 

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Sista ansökningsdag : 25 november . Arbetsort : Göteborg . Publicerat : 29 oktober

Kategorier : Bygg & Anläggning Data & IT Teknik & Ingenjör


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