A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty
Organ transplantation is a crucial task in the healthcare supply chain, which organizes the
supply and demand for various vital organs. In this regard, dealing with uncertainty is one of …
supply and demand for various vital organs. In this regard, dealing with uncertainty is one of …
On-time last-mile delivery: Order assignment with travel-time predictors
We study how delivery data can be applied to improve the on-time performance of last-mile
delivery services. Motivated by the delivery operations and data of a food delivery service …
delivery services. Motivated by the delivery operations and data of a food delivery service …
Fairness, efficiency, and flexibility in organ allocation for kidney transplantation
We propose a scalable, data-driven method for designing national policies for the allocation
of deceased donor kidneys to patients on a waiting list in a fair and efficient way. We focus …
of deceased donor kidneys to patients on a waiting list in a fair and efficient way. We focus …
A robust possibilistic programming approach to multi-period location–allocation of organ transplant centers under uncertainty
B Zahiri, R Tavakkoli-Moghaddam… - Computers & industrial …, 2014 - Elsevier
This paper presents a novel robust possibilistic programming model for a multi-period
location–allocation problem in an organ transplant supply chain under inherent uncertainty …
location–allocation problem in an organ transplant supply chain under inherent uncertainty …
Addressing geographic disparities in liver transplantation through redistricting
Severe geographic disparities exist in liver transplantation; for patients with comparable
disease severity, 90‐day transplant rates range from 18% to 86% and death rates range …
disease severity, 90‐day transplant rates range from 18% to 86% and death rates range …
Multi-objective design of an organ transplant network under uncertainty
B Zahiri, R Tavakkoli-Moghaddam… - … research part E …, 2014 - Elsevier
We propose a novel multi-period location–allocation model for the design of an organ
transplant transportation network under uncertainty. The model consists of a bi-objective …
transplant transportation network under uncertainty. The model consists of a bi-objective …
A literature review of perishable medical resource management
C Zhang, P Li, Q He, F Wang - Frontiers of Engineering Management, 2023 - Springer
In recent decades, healthcare providers have faced mounting pressure to effectively
manage highly perishable and limited medical resources. This article offers a …
manage highly perishable and limited medical resources. This article offers a …
Sharing service in healthcare systems: A recent survey
Z Wang, H Chen, J Luo, C Wang, X Xu, Y Zhou - Omega, 2024 - Elsevier
Innovation in the sharing economy continues to thrive within healthcare systems. Emerging
internet platforms and traditional hospitals/alliances have created diverse healthcare …
internet platforms and traditional hospitals/alliances have created diverse healthcare …
A broader view of designing the liver allocation system
We consider the problem of designing an efficient system for allocating donated livers to
patients waiting for transplantation. The trade-off between medical urgency and efficiency is …
patients waiting for transplantation. The trade-off between medical urgency and efficiency is …
Designing fair, efficient, and interpretable policies for prioritizing homeless youth for housing resources
We consider the problem of designing fair, efficient, and interpretable policies for prioritizing
heterogeneous homeless youth on a waiting list for scarce housing resources of different …
heterogeneous homeless youth on a waiting list for scarce housing resources of different …