Grey wolf optimizer and whale optimization algorithm for stochastic inventory management of reusable products in a two-level supply chain

AH Sadeghi, EA Bani, A Fallahi, R Handfield - IEEE access, 2023 - ieeexplore.ieee.org
Product reuse and recovery is an efficient tool that helps companies to simultaneously
address economic and environmental dimensions of sustainability. This paper presents a …

A mixed-integer linear formulation for a dynamic modified stochastic p-median problem in a competitive supply chain network design

AH Sadeghi, Z Sun, A Sahebi-Fakhrabad, H Arzani… - Logistics, 2023 - mdpi.com
Background: The Dynamic Modified Stochastic p-Median Problem (DMS-p-MP) is an
important problem in supply chain network design, as it deals with the optimal location of …

Optimizing warehouse operations for environmental sustainability: a simulation study for reducing carbon emissions and maximizing space utilization

M Sadeghi, M Nikfar, F Rad - Journal of future sustainability, 2024 - growingscience.com
Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are
critical to logistics management systems. However, these operations also have a significant …

Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator

M Kramarz, M Kmiecik - Sustainability, 2022 - mdpi.com
(1) Background: Currently, logistics operators are struggling with the problem of acquiring
new areas to create added value. One of such challenges is acquiring a new function in the …

[PDF][PDF] Improving the Recognition Percentage of the Identity Check System by Applying the SVM Method on the Face Image Using Special Faces

A Mousavi, AH Sadeghi, AM Ghahfarokhi… - International Journal of …, 2023 - academia.edu
Biometric systems, with the increasing development of information technology in recent
years, have enjoyed high growth in the field of identity identification and verification. In these …

Developing hybrid machine learning models to assign health score to railcar fleets for optimal decision making

M Ejlali, E Arian, S Taghiyeh, K Chambers… - Expert Systems with …, 2024 - Elsevier
A large amount of data is generated during the operation of a railcar fleet, which can easily
lead to dimensional disaster and reduce the resiliency of the railcar network. To solve these …

A comprehensive model for determining technological innovation level in supply chains using green investment, eco-friendly design and customer collaborations …

R Beigizadeh, A Delgoshaei, MKA Ariffin… - RAIRO-Operations …, 2022 - rairo-ro.org
Technological innovations play a crucial role in designing an effective green supply chain.
However, it is crucial to know the factors influencing technological innovation in a green …

Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm

A Delgoshaei, R Beighizadeh, MKABM Arffin… - International Journal of …, 2023 - Springer
Technology advancements are essential to creating a successful green supply chain. Both
internal and external features can influence a business's innovative development; thus …

A supervised machine-learning method for optimizing the automatic transmission system of wind turbines

H Aladwani, M Ariffin… - Engineering Solid …, 2022 - growingscience.com
Large-scale wind turbines mostly use Continuously Variable Transmission (CVT) as the
transmission system, which is highly efficient. However, it comes with high complexity and …

[PDF][PDF] The Effect of Opioid Legislation on Supply Chain Stakeholders' Behavior: South Carolina Case Study

The Effect of Opioid Legislation on Supply Chain Stakeholders’ Behavior: South Carolina Case
Study Page 1 Proceedings of the IISE Annual Conference & Expo 2023 AH. Sadeghi, A …