Predictive Maintenance for Service Business Models and Extended Product Life

Project time: 2017 – 2018

Budget: 889 900 kr

Funding: SIP Produktion2030

The project focuses on economic and environmental sustainability and increased industrial competitiveness.

The project aims firstly to investigate the prerequisites for service business models and modelling to be adopted in real business situations. Secondly it aims to identify adaption needs an adapt aspects of a Örebro University predictive maintenance and availability modelling system, as well as systems by LKAB, Atlas Copco, Alkit & Mobilaris,  to support the use of the service business models, substantially decreasing the business risk for the supplier.
In the first part of the project, the most important conditions for implementing service-based business models  will be identified (exemplified between LKAB and Atlas Copco) and supported by other project partners.
In the second part, through further development of previous research, literature studies, and interviews with industry representatives, the project will investigate how to make partner’s various existing technologies function together, to support the development of service-based business offers and reduce risk.The technologies will also be further developed.
The project will identify main requirements for adoption of service business models and the demands on maintenance systems to ensure high availability and resource efficient production.
The project will also identify requirements for the combination of technologies for system availability modelling, updated using data analytics, applied on Atlas Copco drill rigs, and real-time tracking of assets within the LKAB mining production process, to support service business models.
The results will support future continued research, additional applicable results and publications.

Participating researcher(s)

Share

Similar projects

Secure Shortcut (See Cut)

SeeCut focuses on cost-efficient production systems for secure collection, analysis, visualization, storage and sharing of production data. The project addresses the integration of new signals and sensors. For advanced products, like jet engine components, collecting data during manufacturing and usage is essential for quality assurance and remanufacturing. The project goals are to identify key technical requirements related to production data for use in digitalized value chains, define means to ease the run-time integration of new signals and data streams from manufacturing machinery and sensors, and define how to securely and cost-efficiently share data through the value chains in circular production.

2019 – 2019

PADOK – Study Visit to India 2016

With globalization and other megatrends as demographic changes and climate change, more knowledge is needed regarding production in an international perspective. PADOK Study Visit in India 2016 have given an increased knowledge regarding how production is conducted in India, some of the challenges producing companies in that region is facing and how Swedish companies interested in investing in production in India could act to establish themselves in the region.

2016 – 2016

Tailored Tool Surfaces for Robust and Sustainable Hot Stamping

Tooling constitutes a significant part in the economical investment of the hot stamping process. Significant benefits in production economy and environmental benefits can be attained by improving the tribological performance in hot forming operations of automotive components. The main idea of this project is to create tailored tool surfaces on dies made from cheaper and easier to manufacture tool steel for the hot stamping of ultra-high strength steels.

2015 – 2018

Tailored Tool Surfaces for Robust and Sustainable Hot Stamping
Search Next Previous Deselect Project manager URL Document Partner Calendar Place Close Menu Expand User Log out Profile