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Process based system models for detecting opportunities and threats – the case of World Cement Production

Raine Isaksson (Department of Engineering Sciences, Uppsala University, Visby, Sweden and Department of Business Administration, Technology and Social Sciences (ETS), Luleå University of Technology, Luleå, Sweden)

International Journal of Quality and Service Sciences

ISSN: 1756-669X

Article publication date: 19 September 2016




Visualising change needs could be complex. One way of sense-making is to use process-based system models. Global warming requires major changes in many fields and especially for cement manufacturing, which represents a growing portion of man-made carbon emissions. The industry has proposed measures for change, but it is difficult to assess how good these are and more sense-making is needed to clarify the situation. The purpose of this paper is to visualise opportunities and threats for global cement manufacturing in the context of global warming, using a process-based system model.


Available data for cement manufacturing and for carbon emissions are combined both historically and as predictions based on chosen key performance indicators. These indicators are related to a chosen process-based system model.


The results indicate that the global cement industry does not have a viable plan to reduce carbon emissions sufficiently to comply with the objectives of maintaining global warming below 2°C. The application of the process-based system model indicates that it has the ability to visualise important opportunities and threats at the level of global processes.

Practical implications

The challenges of the world cement industry with reducing carbon emissions are highlighted. This information could be useful as a driver for change.


The paper provides insights into process-based improvement work related to cement industry carbon emissions.



Isaksson, R. (2016), "Process based system models for detecting opportunities and threats – the case of World Cement Production", International Journal of Quality and Service Sciences, Vol. 8 No. 3, pp. 246-262.



Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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