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Hospital service levels during drug shortages: Stocking and transshipment policies for pharmaceutical inventory
(Springer, 2022-07)
In this study, we consider a health network that faces uncertain supply disruptions in the form of regional, nationwide, or worldwide drug shortages. Each hospital observes stochastic demand and if the drug is unavailable, ...
A data-driven matching algorithm for ride pooling problem
(Elsevier, 2022-04)
This paper proposes a data-driven matching algorithm for the problem of ride pooling, which is a transportation mode enabling people to share a vehicle for a trip. The problem is considered as a variant of matching problem, ...
Cost of fairness in agent scheduling for contact centers
(American Institute of Mathematical Sciences, 2022-03)
We study a workforce scheduling problem faced in contact centers with considerations on a fair distribution of shifts in compliance with agentpreferences. We develop a mathematical model that aims to minimize operatingcosts ...
Robust parameter design and optimization for quality engineering
(Springer, 2022-03)
This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by ...
A fluid approximation for the single-leg fare allocation problem with nonhomogeneous poisson demand
(Springer, 2022-02-27)
Fare allocation for legs and O&D pairs plays a crucial role in airline revenue management. Despite a large number of dynamic pricing studies, there are only a few widely adopted studies in which assumptions affect most ...
A capacitated mobile facility location problem with mobile demand: Recurrent service provision to en route refugees
(OpenProceedings.org, 2022)
In this paper, we help humanitarian organizations provide service via mobile facilities (MFs) to migrating refugees, who attempt to cross international borders. Over a planning horizon, we aim to optimize number and routes ...
Capacitated stochastic lot-sizing and production planning problem under demand uncertainty
(Elsevier, 2022)
This paper proposes two multi-period, multi-item capacitated stochastic lot-sizing problems under demand uncertainty. We model uncertainty via a scenario tree. The first model considers production, inventory, backlogging, ...
Stochastic production planning with flexible manufacturing systems and uncertain demand: A column generation-based approach
(Elsevier, 2022)
The ongoing pandemic, namely COVID-19, has rendered widespread economic disorder. The deficiencies have delayed production at manufacturers in several industries on the supply side. The effects of disruption were more ...
Deep reinforcement learning approach for trading automation in the stock market
(IEEE, 2022)
Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price 'prediction' ...
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)
Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ...
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