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Process based system models for detecting opportunities and threats: the case of World Cement Production
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0002-6487-5522
Number of Authors: 12016 (English)In: International Journal of Quality and Service Sciences, ISSN 1756-669X, E-ISSN 1756-6703, Vol. 8, no 3, p. 246-262Article in journal (Refereed) Published
Abstract [en]

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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

Place, publisher, year, edition, pages
2016. Vol. 8, no 3, p. 246-262
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-11857DOI: 10.1108/IJQSS-05-2016-0043Scopus ID: 2-s2.0-84988430954Local ID: ae1576c0-ecdd-45bc-adb6-a0e1ca89b40bOAI: oai:DiVA.org:ltu-11857DiVA, id: diva2:984807
Note

Validerad; 2016; Nivå 1; 2016-10-14 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-19Bibliographically approved

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Isaksson, Raine

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