To read this content please select one of the options below:

Understanding the interdependencies of quality problems and productivity

Theodor Nebl (Institute of Production Management, University of Rostock, Rostock, Germany)
Anne‐Katrin Schroeder (Institute of Production Management, University of Rostock, Rostock, Germany)

The TQM Journal

ISSN: 1754-2731

Article publication date: 23 August 2011




This viewpoint seeks to provide evidence that up until now, neither a systematic analysis of quality problems in terms of resource, process and product quality has been undertaken, nor has the respective impact on productivity been sufficiently described and understood.


A structured literature review is used to define productivity and quality problems and shows their interdependencies as well as problem solving approaches in a model.


In a “Four Level Model of Quality” the impact of quality problems on productivity is apparent. A flow chart has been developed which not only identifies quality problems but also provides for approaches to resolve such problems through techniques of quality management. A practical example within the context of asset management further illustrates the overarching problems.

Practical implications

Utilizing the developed flow chart in order to identify quality problems and use techniques of quality management as a solution to overcome such problems, will contribute to an increase in productivity of a company.


This paper provides the development of methodical basics in reference to the definition and identification of quality problems including systematic attribution of quality management techniques for problem solving. It presents a “Four Level Model of Quality” to show how to secure the best impact on productiveness. This viewpoint shall lay foundations for target‐oriented continuation of research in this particular field and provide a scientific platform for companies of positive influences of quality on productivity.



Nebl, T. and Schroeder, A. (2011), "Understanding the interdependencies of quality problems and productivity", The TQM Journal, Vol. 23 No. 5, pp. 480-495.



Emerald Group Publishing Limited

Copyright © 2011, Emerald Group Publishing Limited

Related articles