[HTML][HTML] A machine learning model with linear and quadratic regression for designing pharmaceutical supply chains with soft time windows and perishable products

S Rekabi, Z Sazvar, F Goodarzian - Decision Analytics Journal, 2023 - Elsevier
Product perishability is an important problem in Pharmaceutical Supply Chains (PSC).
Demand perishability and unpredictability add enormous complexity to successfully …

OR applications in pharmaceutical supply chain management

A Ahmadi, M Mousazadeh, SA Torabi… - … research applications in …, 2018 - Springer
Sustainable development of a nation greatly depends on the health of individuals. The
emergence of the diseases caused by unhealthy lifestyle as well as the growth and aging of …

A multi-functional tri-objective mathematical model for the pharmaceutical supply chain considering congestion of drugs in factories

MS Fatemi, A Ghodratnama… - Research in …, 2022 - Elsevier
Abstract Supply Chain Management (SCM), by way of one of the critical issues in the
managerial aspect, plays a significant role in tackling humanitarian problems and difficulties …

A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design

S Zandkarimkhani, H Mina, M Biuki… - Annals of Operations …, 2020 - Springer
In this paper, a bi-objective mixed-integer linear programming model is formulated for
designing a perishable pharmaceutical supply chain network under demand uncertainty …

Machine learning-based technique for predicting vendor incoterm (contract) in global omnichannel pharmaceutical supply chain

PK Detwal, G Soni, SK Jakhar, DK Srivastava… - Journal of Business …, 2023 - Elsevier
The importance of supply chain management to business operations and social growth
cannot be overstated. Modern supply chains are considerably dissimilar from those of only a …

Optimal supply chain design with product family: a cloud-based framework with real-time data consideration

SI Ali, A Ali, M AlKilabi, M Christie - Computers & Operations Research, 2021 - Elsevier
When the product family (PF) and the supply chain designs (SCD) are aligned and
integrated, original equipment manufacturers (OEM) are more likely to improve their …

Coupling soft computing, simulation and optimization in supply chain applications: review and taxonomy

H El Raoui, M Oudani, AEH Alaoui - IEEE Access, 2020 - ieeexplore.ieee.org
Supply chain networks are typical examples of complex systems. Thereby, making decisions
in such systems remains a very hard issue. To assist decision makers in formulating the …

Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain

E Ahmadi, H Mosadegh, R Maihami… - Computers & Operations …, 2022 - Elsevier
This study develops intelligent inventory management (IIM) approaches for managing
perishable pharmaceutical products in a healthcare supply chain consisting of multiple …

Data driven flexible supplier network of selfcare essentials during disruptions in supply chain

A Chauhan, H Kaur, SK Mangla, Y Kayikci - Annals of Operations …, 2023 - Springer
During disruptive events, supply chains struggle to meet the demand due to limitations
posed by logistics, transportation and supply side failures. In the present study, a flexible …

Modeling and optimizing a multi-period closed-loop supply chain for pricing, warranty period, and quality management

F Keshavarz-Ghorbani, A Arshadi Khamseh - Journal of Ambient …, 2022 - Springer
Nowadays, most of the researchers have focused on collecting the used products to carry
out the recovery process. This paper deals with the repair process to improve the virtual age …