Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

Jahin, Md Abrar; Shovon, Md Sakib Hossain; Shin, Jungpil; Ridoy, Istiyaque Ahmed; Mridha, M. F.

doi:10.1007/s11831-024-10092-9

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2024

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Cited by 4 publications

References 126 publications

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Machine Learning Applications in Supply Chain Management: Predictive Power Unleashed

Ahmed,

Jabbar Hussein,

Fadel

et al. 2024

2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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Machine Learning Applications in Supply Chain Management: Predictive Power Unleashed

Ahmed,

Jabbar Hussein,

Fadel

et al. 2024

2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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Artificial intelligence’s impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications

Hezam,

Ali,

Alshamrani

et al. 2024

J Big Data

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Predicting Demand in Supply Chain Networks With Quantum Machine Learning Approach

Sehrawat,

Dutta,

Bhatia

et al. 2024

Quantum Computing and Supply Chain Management

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This chapter explores the application of quantum machine learning (QML) techniques for demand prediction in supply chain networks. Traditional demand forecasting methods often struggle to capture the intricate dynamics and uncertainties present in modern supply chains. By leveraging the computational power and probabilistic nature of quantum computing, coupled with the flexibility and adaptability of machine learning algorithms, organizations can enhance the accuracy and efficiency of their demand prediction processes. This chapter provides an overview of QML methodologies tailored specifically for demand prediction in supply chain networks, highlighting their advantages over classical approaches. Through case studies and practical examples, the chapter demonstrates how QML can enable organizations to make more informed decisions, optimize inventory levels, and improve overall supply chain performance.

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Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

Cited by 4 publications

References 126 publications

Machine Learning Applications in Supply Chain Management: Predictive Power Unleashed

Machine Learning Applications in Supply Chain Management: Predictive Power Unleashed

Artificial intelligence’s impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications

Predicting Demand in Supply Chain Networks With Quantum Machine Learning Approach

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