Designing a portfolio-based closed-loop supply chain network for dairy products with a financial approach: Accelerated Benders decomposition algorithm

A Goli, EB Tirkolaee - Computers & Operations Research, 2023 - Elsevier
Product portfolio design is one of the important and effective factors in the financial and
physical flows of various supply chains, especially dairy products. Accordingly, the financial …

The impact of healthcare 4.0 technologies on healthcare supply chain performance: Extending the organizational information processing theory

E Saha, P Rathore - Technological Forecasting and Social Change, 2024 - Elsevier
Increasing supply chain performance in an uncertain environment is a challenge for every
industry, predominantly, healthcare sector. To address such issues, there is an urgent need …

Application of digital-intelligence technology in the processing of Chinese materia medica

W Zhang, C Zhang, L Cao, F Liang, W **e… - Frontiers in …, 2023 - frontiersin.org
Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is
the core of Chinese unique traditional pharmaceutical technology. The processing includes …

[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 …

Machine learning in supply chain management: systematic literature review and future research agenda

I Vlachos, PG Reddy - International Journal of Production …, 2025 - Taylor & Francis
This study conducts a comprehensive systematic literature review of 107 Machine Learning
(ML) studies in Supply Chain (SC) Management published from 2019 until 2023. Descriptive …

A smart inventory management system with medication demand dependencies in a hospital supply chain: A multi-agent reinforcement learning approach

E Saha, P Rathore - Computers & Industrial Engineering, 2024 - Elsevier
In light of the intense need for quality health and well-being, the healthcare industry must
improve its operations by strengthening its service delivery and reducing overall costs. A …

Switching robust neural network control of perishable inventory with fixed shelf life products under time-varying uncertain demand

E Cholodowicz, P Orlowski - Journal of Computational Science, 2023 - Elsevier
Managing the inventories of perishable items becomes a more challenging task when the
demand for such items is uncertain and has intermittent, lumpy or erratic character. In this …

Inventory management with multisource heterogeneous information: roles of representation learning and information fusion

ZY Chen, ZP Fan, M Sun - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
The prevalence of omnichannel marketing and sales enables firms to make ordering
decisions based on multisource heterogeneous information from all the channels. This work …

A local supply chain inventory planning with varying perishability rate product: A case study

F Ghasemzadeh, D Pamucar - Expert Systems with Applications, 2023 - Elsevier
Motivated by a real-life case in the dairy supply chain, we study the management of
deteriorating inventories in an existing three-echelon supply chain network with a local …

[HTML][HTML] An interactive optimization model for sustainable production scheduling in healthcare

S Priyan, S Banerjee - Healthcare Analytics, 2022 - Elsevier
The Healthcare industry is one of the service sectors in the industrialized world with the
highest carbon footprint. Sustainability strategies offer significant environmental and …