Skip to content
Peder Lundkvist
Peder Lundkvist has defended research that can help SSAB and basic industries with continuous production flows to develop its business. Photo: Rickard Garvare View original picture , opens in new tab/window

Statistical methods develop process industry

Published: 4 December 2015

Peder Lundkvist, Doctor in Quality Engineering and Management at Luleå University of Technology has studied how statistical methods can be applied in the process industry to streamline operations.

– My research has given SSAB a foundation to be able to streamline their operations, but also the knowledge to apply statistical methods in this type of industrial processes in a better way, says Peder Lundkvist.

The area is important to investigate, because the existing statistical methods are not fully adapted to the process industries with continuous production flows that are running 24 hours a day.

It also becomes harder and harder to understand and control industrial processes and products due to technical systems are becoming more complex.

Experiments map processes

The Production Botnia-funded project has been conducted in cooperation with SSAB in Luleå. To create an understanding of SSAB's industrial processes have Peder Lundkvist conducted a number of experiments at the blast furnace and continuous casting process.

To conduct experiments in a process is complex, expensive and time consuming – but crucial to promote understanding and to make improvements in their operations. Therefore it is important that industries have knowledge of how an experiment effectively is planned, conducted and analysed. This helps Peder Lundkvists research to sort out. A major focus is on hard data, but the researcher also emphasizes the importance of the human factor.

– To succeed in an experiment it is important that everyone involved, from operators to decision makers, understand the purpose of the experiment, says Peder Lundkvist.