Quality management and customer satisfaction evaluation can be difficult tasks to perform when processes involve multiple production lines or provide multichannel services. As a consequence, the top management needs to check the quality from different perspectives and to evaluate the improvement strategies at several levels. To this aim, we propose to use Object-Oriented Bayesian Networks by which different quality aspects and evaluations can be integrated in a unique framework allowing to analyse improvement strategies in real time. We show, by an application to an internal-customer satisfaction survey, how to combine several areas of satisfaction and how to evaluate the impact on the global quality of improvement actions developed in one or more areas.
Musella, F., Vicard, P. (2013). Object-Oriented Bayesian networks for complex quality management problems. In Working Paper n.144, Collana di Working Paper del Dipartimento di Economia, Universita' Roma Tre. ROMA : Dipartimento di Economia, Univ. Roma Tre.
Object-Oriented Bayesian networks for complex quality management problems
VICARD, Paola
2013-01-01
Abstract
Quality management and customer satisfaction evaluation can be difficult tasks to perform when processes involve multiple production lines or provide multichannel services. As a consequence, the top management needs to check the quality from different perspectives and to evaluate the improvement strategies at several levels. To this aim, we propose to use Object-Oriented Bayesian Networks by which different quality aspects and evaluations can be integrated in a unique framework allowing to analyse improvement strategies in real time. We show, by an application to an internal-customer satisfaction survey, how to combine several areas of satisfaction and how to evaluate the impact on the global quality of improvement actions developed in one or more areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.