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Blood supply chain management and future research opportunities
(Springer, 2018)
In this chapter, we discuss the challenges and research opportunities in the blood collection operations and explore the benefits of recent advances in the blood donation process. According to the regulations, donated blood ...
Improving blood products supply through donation tailoring
(Elsevier, 2019-02)
Recent technological advances, called Multicomponent Apheresis, allow tailoring the blood donations based on the demand and current inventory levels of blood products. Different from the most common type of blood donation ...
The effect of multiple operating room scheduling on the sterilization schedule of reusable medical devices
(Elsevier, 2020-09)
We study scheduling problems of operating rooms (ORs) and sterilization of reusable medical devices (RMDs) where RMDs are the tools that have to be sterilized in order to be reused in the other surgeries. During their ...
Service center staffing with cross‐trained agents and heterogeneous customers
(Wiley, 2019-04)
We model a real-world service center with cross-trained agents serving customer requests that are heterogeneous with respect to complexity and priority levels: High priority requests preempt low priority requests and ...
A stochastic value estimation tool for electric vehicle charging points
(Elsevier, 2021-07-15)
A stochastic value estimation tool serves as a planning tool with embedded modules for electrical and financial valuation of electric vehicle charging points. The tool is developed in stochastic nature for selected service ...
Demand-driven electricity supply options of electric vehicles: modelling, simulation, and management strategy of public charging stations
(Springer, 2021-10-13)
In this chapter, we discuss the challenges and research opportunities in the demand-driven electricity supply options of electric vehicles (EVs) at public charging stations (CSs). EVs have gained increased attention in ...
Drone routing for post-disaster damage assessment
(Springer, 2021)
We consider drones to support post-disaster damage assessment operations when the disaster-affected area is divided into grids and grids are clustered based on their attributes. Specifically, given a set of drones and a ...
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
(Wiley, 2023-01)
We model the scheduling problem of a single operating room for outpatient surgery, with uncertain case durations and an objective function comprising waiting time, idle time, and overtime costs. This stochastic scheduling ...
Advancing home healthcare through machine learning: Predicting service time for enhanced patient care
(IEEE, 2023)
Providing healthcare services at home is crucial for patients who require long-term care or face mobility or other health-related constraints that prevent them from traveling to healthcare facilities. Effective data analysis ...
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