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Journal of Healthcare Engineering
Volume 2017, Article ID 2309265, 9 pages
https://doi.org/10.1155/2017/2309265
Research Article

Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals

1Department of Innovation and Information Engineering, Guglielmo Marconi University, Via Plinio 44, 00193 Rome, Italy
2Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, 39100 Bolzano, Italy
3Fraunhofer Italia Research s.c.a.r.l., Innovation Engineering Center (IEC), Via Macello 57, 39100 Bolzano, Italy

Correspondence should be addressed to Erwin Rauch; ti.zbinu@hcuar.niwre

Received 22 January 2017; Accepted 7 May 2017; Published 19 June 2017

Academic Editor: Antonio Gloria

Copyright © 2017 Gabriele Arcidiacono et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Chiara Parretti, Massimo Rinaldi, Fernando Rolli, and Paolo Citti, “Functional Case Test Design to Optimize the Software Development in Italian Tax Processes (Part I): Methodology Definition,” MATEC Web of Conferences, vol. 127, 2017. View at Publisher · View at Google Scholar
  • Beniamino Pacifici, Chiara Parretti, Andrea Girgenti, and Paolo Citti, “Axiomatic Design for an Efficient Development of Optimized RPM Systems,” MATEC Web of Conferences, vol. 127, pp. 01010, 2017. View at Publisher · View at Google Scholar
  • Fernando Rolli, Chiara Parretti, Paolo Citti, and Massimo Rinaldi, “Functional Case Test Design to Optimize the Software Development in Italian Tax Processes (Part II): The F23 Tax Payment Form,” MATEC Web of Conferences, vol. 127, 2017. View at Publisher · View at Google Scholar
  • Mario Fargnoli, Nicolas Haber, and Tomohiko Sakao, “PSS modularisation: a customer-driven integrated approach,” International Journal of Production Research, pp. 1–17, 2018. View at Publisher · View at Google Scholar
  • Alessandro Giorgetti, Gabriele Arcidiacono, Andrea Ciappi, Riccardo Barbieri, and Paolo Citti, “HNCR model following robust approach,” Quality and Reliability Engineering International, 2018. View at Publisher · View at Google Scholar