Blood is a vital resource for human being since its unavailability may cause deaths and complications for patients. For this reason, in the last 20 years great interest has been addressed worldwide to the blood supply chain management, in terms of efficient and effective policy making and system design. In answer to this raising need, the Italian Healthcare Ministry issued a decree aimed at improving the blood supply chain at regional level in terms of costs, accessibility and shortage, providing also several indications and restrictions to be accounted for. In this context, this chapter presents a mixed-integer linear programming formulation to determine the optimal location and the number of blood facilities at regional scale, with the aim of minimizing system costs meanwhile guaranteeing good standard service level requirements. The proposed formulation tackles the problem in a multi-echelon and multi-objective perspective. It has been solved by Gurobi 9.0.1 solver and validated on real like test cases related to Campania and Puglia regions. Finally, the impacts of the different parameters involved in the formulation are analyzed in order to provide managerial insights to decision makers and healthcare stakeholders.
A MILP Formulation for the Reorganization of the Blood Supply Chain in Italian Regions / Diglio, A.; Mancuso, A.; Masone, A.; Piccolo, C.; Sterle, C.. - 6:(2021), pp. 51-66. [10.1007/978-3-030-86286-2_5]
A MILP Formulation for the Reorganization of the Blood Supply Chain in Italian Regions
Diglio A.;Mancuso A.
;Masone A.;Piccolo C.;Sterle C.
2021
Abstract
Blood is a vital resource for human being since its unavailability may cause deaths and complications for patients. For this reason, in the last 20 years great interest has been addressed worldwide to the blood supply chain management, in terms of efficient and effective policy making and system design. In answer to this raising need, the Italian Healthcare Ministry issued a decree aimed at improving the blood supply chain at regional level in terms of costs, accessibility and shortage, providing also several indications and restrictions to be accounted for. In this context, this chapter presents a mixed-integer linear programming formulation to determine the optimal location and the number of blood facilities at regional scale, with the aim of minimizing system costs meanwhile guaranteeing good standard service level requirements. The proposed formulation tackles the problem in a multi-echelon and multi-objective perspective. It has been solved by Gurobi 9.0.1 solver and validated on real like test cases related to Campania and Puglia regions. Finally, the impacts of the different parameters involved in the formulation are analyzed in order to provide managerial insights to decision makers and healthcare stakeholders.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
