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Toplam kayıt 7, listelenen: 1-7
A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals
(Springer, 2020-12)
Blood is a key resource in all health care systems, usually drawn from voluntary donors. We focus on the operations management in blood collection centers, which is a key step to guarantee an adequate blood supply and a ...
Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach
(Elsevier Ltd, 2020-08-01)
The transportation sector is one of the main contributors to global greenhouse gas (GHG) emissions. As the efforts towards emission mitigation increase, the expectation from the sector arises equally. In this analysis, the ...
Cost-effective fault diagnosis of a multi-component dynamic system under corrective maintenance
(Elsevier Ltd, 2021-04)
Maintenance planning and execution are challenging tasks for every system with complex structure. Interdependent nature of the components that builds up the system may have significant effect on system integrity. While ...
Scheduling and simulation of maritime traffic in congested waterways: An application to the Strait of Istanbul
(Cambridge University Press, 2021-05)
The aim of this study is to develop a simulation model which is capable of mimicking actual vessel arrival patterns and vessel entrance decisions (which are made based on expert opinions generally) on congested, narrow ...
Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs
(Elsevier Ltd, 2021-07)
In complex systems with stochastically dependent components which are not observed directly, determining an effective maintenance policy is a difficult task. In this paper, a dynamic Bayesian network based maintenance ...
Challenges in the CO2 emissions of the Turkish power sector: Evidence from a two-level decomposition approach
(Elsevier Ltd, 2021-06)
Decarbonization of the energy system is urgent to avert the disruptions in the climate. Considering its share, the low carbon transition of the power sector is pivotal. Growing electricity demand poses unique challenges ...
Maintenance policy analysis of the regenerative air heater system using factored POMDPs
(Elsevier Ltd, 2022-03)
Maintenance optimization of multi-component systems is a difficult problem. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems under uncertainty in stochastic environments. In this ...