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An equity-oriented multi-objective inventory management model for blood banks considering the patient conditions: A real-life case.
- Source :
- Scientia Iranica. Transaction E, Industrial Engineering; Sep/Oct2023, Vol. 30 Issue 5, p1875-1897, 23p
- Publication Year :
- 2023
-
Abstract
- The absence of systematic disparities in health utilization leads to achieving equity in health. However, equity in delivering healthcare services is always challenging because of the financial and medical resource constraints. In this regard, a practical multi-objective mixed-integer linear programming model with priority-differentiated demand classes is presented for cost-effective inventory management of blood products considering the health equity. The system deals with multiple substitutable products. There are elective and non-elective demands, which are categorized into three main classes based on medical urgencies. The health objectives are investigated to achieve a desirable health equity level in delivering healthcare services to patients. Moreover, the economic objective is pursued to minimize the total costs incurred across managing the inventory without weakening the service level. An effective demand-oriented hybrid heuristic is proposed to issue and allocate blood for equitable demand satisfaction. In this regard, a goal programming approach is utilized to find an optimum solution. The applicability of the model is validated through a real case study. Finally, several sensitivity analyses are conducted to gain useful managerial insights. According to the results, the proposed model presents a proper solution by making a reasonable health-economic trade-off. The results also confirm a beneficial improvement in the patient care and promotion of health equity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- Volume :
- 30
- Issue :
- 5
- Database :
- Supplemental Index
- Journal :
- Scientia Iranica. Transaction E, Industrial Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 172760718
- Full Text :
- https://doi.org/10.24200/sci.2021.57281.5158