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International Conference on Health Care Systems Engineering

ICHCSE 2017: Health Care Systems Engineering pp 155–166Cite as

Empirical Data Driven Intensive Care Unit Drugs Inventory Policies

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Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 210))

Abstract

This paper proposes a drugs inventory policy at point-of-use level, tailored for the Intensive Care Unit (ICU) case study and aimed at relieving nurses of the time-wasting task of drugs ordering and refilling. The policy aims at jointly reducing order occurrences and imposing service regularity, while keeping stock value as low as possible. An optimization model is proposed and solved on a one-month period real instance and on a set of realistic ones derived from drugs consumption data collection at the ward. The potentially conflicting priorities of three stakeholders (nurses, administration and clinicians) have been successfully incorporated and their impact on order occurrences and stock value has been discussed. Computational results suggest that it is possible to optimize the time-consuming order process currently adopted at the ICU case study. This study is part of a more comprehensive project in which the optimization block will be integrated with a demand forecasting tool and deployed in a rolling horizon framework.

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Acknowledgements

The authors are indebted to the ICU medical staff and nurses, who answered to all questions with endless patience and made this fruitful collaboration possible. This work has been partially supported by LINFA (Logistica INtelligente del FArmaco) project, funded by Regione Toscana under the call PAR FAS 2007–2013, Linea dAzione 1.1—Bando FAR FAS 2014.

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Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Florence, Florence, Italy

    Paola Cappanera & Roberta Rossi

  2. Dipartimento di Ingegneria, University of Ferrara, Ferrara, Italy

    Maddalena Nonato

Authors
  1. Paola Cappanera
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  2. Maddalena Nonato
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  3. Roberta Rossi
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Corresponding author

Correspondence to Roberta Rossi .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Florence, Florence, Italy

    Paola Cappanera

  2. Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA

    Jingshan Li

  3. Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

    Andrea Matta

  4. Laboratoire Génie Industriel, École Centrale Paris, Châtenay-Malabry, France

    Evren Sahin

  5. OG Productie en Logistiek Leuven, Katholieke Universiteit Leuven, Leuven, Belgium

    Nico J. Vandaele

  6. Dipartimento di Ingegneria Industriale, University of Florence, Florence, Italy

    Filippo Visintin

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Cappanera, P., Nonato, M., Rossi, R. (2017). Empirical Data Driven Intensive Care Unit Drugs Inventory Policies. In: Cappanera, P., Li, J., Matta, A., Sahin, E., Vandaele, N., Visintin, F. (eds) Health Care Systems Engineering. ICHCSE 2017. Springer Proceedings in Mathematics & Statistics, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66146-9_14

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