Benvenuti nell'Anagrafe della Ricerca d'Ateneo
La valutazione delle attività di ricerca che si svolgono nelle università ha assunto un'importanza rilevante sia per l'intero sistema universitario sia all'interno di ogni singolo ateneo. Roma Tre si è quindi dotata di idonei strumenti informativi in grado di supportare al meglio le azioni di monitoraggio e di valutazione delle attività di ricerca svolte nei propri dipartimentied ha realizzato una Anagrafe della Ricerca di Ateneo.
EnglishQuality 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.
| Titolo: | Object-Oriented Bayesian networks for complex quality management problems | |
| Autori: | ||
| Data di pubblicazione: | 2013 | |
| Rivista: | ||
| Citazione: | 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. | |
| 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. | |
| Handle: | http://hdl.handle.net/11590/160616 | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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