Prioritizing and queueing the emergency departments' patients using a novel data-driven decision-making methodology, a real case study

M Alipour-Vaezi, A Aghsami, F Jolai - Expert Systems with Applications, 2022 - Elsevier
One of the principal problems in epidemic disruptions like the COVID-19 pandemic is that
the number of patients needing hospitals' emergency departments' services significantly …

Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques

H Shakibaei, MR Farhadi-Ramin, M Alipour-Vaezi… - Kybernetes, 2024 - emerald.com
Purpose Every day, small and big incidents happen all over the world, and given the human,
financial and spiritual damage they cause, proper planning should be sought to deal with …

[HTML][HTML] ALEC: active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease

F Khozeimeh, R Alizadehsani, M Shirani… - Computers in Biology …, 2023 - Elsevier
Invasive angiography is the reference standard for coronary artery disease (CAD) diagnosis
but is expensive and associated with certain risks. Machine learning (ML) using clinical and …

A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms

N Abdali, S Heidari, M Alipour-Vaezi, F Jolai… - Kybernetes, 2024 - emerald.com
Purpose Nowadays, in many organizations, products are not delivered instantly. So, the
customers should wait to receive their needed products, which will form a queueing …

Introducing a novel revenue-sharing contract in media supply chain management using data mining and multi-criteria decision-making methods

M Alipour-Vaezi, A Aghsami, M Rabbani - Soft Computing, 2022 - Springer
Despite all the advances in supply chain coordination, some businesses are still
coordinated traditionally, including the media supply chain, in which the actor's efficiency or …

Quantifying the benefits of customized vaccination strategies: A network‐based optimization approach

S Li, H Aprahamian - Naval Research Logistics (NRL), 2024 - Wiley Online Library
We study the problem of designing vaccine distribution strategies that maximally mitigate the
negative impact of an infectious disease outbreak. This is achieved through a multiperiod …

A two-stages mathematical model for a Covid-19 vaccination fuzzy scheme and resource allocation in hub locations considering transmission risk and environment …

ASG Majid, M Kazemzadeh… - RAIRO-Operations …, 2023 - rairo-ro.org
Tackling with Covid-19 dilemma of vaccine distribution needed a stack of analysis and
examination. This paper develops a generalizable framework for designing a hub …

Proposing a novel data-driven optimization methodology to calculate the insurance premium in the Iranian health insurance industry

M Alipour-Vaezi, K Rezaie… - … Markets Finance and …, 2023 - Taylor & Francis
This study aims to manage the two most common and critical disruptions of Iranian health
insurance (declining market share and errors in predicting the indemnities) by proposing a …

Mendorong Pertumbuhan Bisnis: Memanfaatkan Pengambilan Keputusan Berbasis Data untuk Optimalisasi Sumber Daya dan Inovasi dalam Manufaktur Agil

A Rustandy, DA Suryaningrum… - Management …, 2023 - journal.yrpipku.com
Abstrak ini bertujuan untuk menyoroti pentingnya Pengambilan Keputusan Berbasis Data
(Data-Driven Decision Making, DDDM) dalam konteks strategi manufaktur yang gesit di …

A lion optimization algorithm for an integrating maintenance planning and production scheduling problem with a total absolute deviation of completion times objective

R Yazdani, M Alipour-Vaezi, K Kabirifar… - Soft Computing, 2022 - Springer
In today's competitive business environment, the need for continuous production, quality
improvement, and fast delivery necessitates highly reliable production and delivery …