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Designing a portfolio-based closed-loop supply chain network for dairy products with a financial approach: Accelerated Benders decomposition algorithm
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 …
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
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 …
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 …
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
Product perishability is an important problem in Pharmaceutical Supply Chains (PSC).
Demand perishability and unpredictability add enormous complexity to successfully …
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 …
(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
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 …
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
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 …
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
The prevalence of omnichannel marketing and sales enables firms to make ordering
decisions based on multisource heterogeneous information from all the channels. This work …
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
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 …
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 …
highest carbon footprint. Sustainability strategies offer significant environmental and …