[Dottorcomp] Seminari di matematica applicata. Mercoledì 9 novembre. Ettore Lanzarone.

[Stefano Lisini]

Seminari di Matematica Applicata, Dipartimento di Matematica "F. Casorati"
e Istituto del CNR IMATI "E. Magenes" di Pavia.

Mercoledì 9 novembre 2022, alle ore 11.30 precise, presso l'aula
Beltrami del Dipartimento di Matematica,

Ettore Lanzarone (Università degli Studi di Bergamo)terrà un seminario dal
titolo:

Scheduling appointments for blood donation: from donations at the
collection center to home blood donation

Il seminario verrà anche trasmesso in diretta su zoom al link

https://us02web.zoom.us/j/81578389795?pwd=MGlVcFVaVE03SjNGTjhUa2ZzejEvZz09

Abstract.

Blood plays a crucial role in all health care systems, it is a limited
resource and its shelf life is short. In Western countries, blood is
collected from donors, and the so-called Blood Donation Supply Chain (BDSC)
aims to provide an adequate supply of blood units to transfusion centers
and hospitals.
In this talk, I focus on the collection of blood units from donors, which
is the first BDSC echelon, and I consider two opposing donation settings:
the classical blood donation at the collection center, and a new
organizational model in which blood is collected at donor’s homes to
respond to the emerging need for delocalization of health services. For
each of them, I tackle the Blood Donation Appointment Scheduling (BDAS)
problem, providing a decision support tool that balances the production of
the different blood types between days in order to provide a fairly
constant supply of blood units to the rest of the BDSC.
In the case of donations at the collection center, the tool consists of an
offline Mixed Integer Linear Programming (MILP) model that preallocates
time slots to blood types, and an online prioritization policy that assigns
a preallocated slot when the donor calls to make the reservation. In the
case of home blood donation, the tool consists of a matheuristic framework
with three decision stages, in which the first two stages extend those of
the other setting and the third one consists of a Multi-Trip Vehicle
Routing Problem with Time Windows to route the bloodmobiles that collect
blood at donors’ homes.
Both tools have been tested on data coming from a real Italian provider,
i.e., the Milan department of the Associazione Volontari Italiani Sangue
(AVIS). The numerical experiments have verified the well-performing
behavior of both frameworks. In particular, the tests conducted on
realistic instances generated based on the AVIS Milan case have confirmed
the capability of the tools to balance the production of each blood type
over the days and, for home blood donation, to create cost-effective
vehicle schedules.

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