Deep Learning for Demand Forecasting: A Framework Incorporating Variational Mode Decomposition and Attention Mechanism

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 594 - 594

Published: Feb. 19, 2025

Accurate demand forecasting is crucial for modern supply chain management, forming the foundation inventory optimization, cost control, and service level improvement. However, time series data often exhibit high volatility diverse patterns, further complicated by rapid expansion heterogeneity of sources. These challenges can result in significant degradation predictive accuracy when traditional models are applied to complex datasets. To address these challenges, this study proposes an end-to-end framework leveraging Variational Mode Decomposition (VMD) attention mechanisms. The first employs VMD decompose raw into multiple modes extract hierarchical features, including trends, seasonal short-term variations. Subsequently, mechanism introduced dynamically capture integrate sequences alongside contextual information, enhancing focus on critical features improving performance. Experimental results demonstrate that proposed method achieves superior compared conventional approaches, with a 37% reduction Mean Absolute Error (MAE) relative baseline models. This substantial improvement provides actionable insights decision-makers, enabling more efficient production planning, overall optimization.

Language: Английский

---

A delicate dance: Value-added services and electricity security in decentralized systems

Energy Policy, Journal Year: 2025, Volume and Issue: 200, P. 114550 - 114550

Published: Feb. 21, 2025

Language: Английский

---

Triboelectric nanogenerator–based wireless sensing for food precise positioning

Materials Today Sustainability, Journal Year: 2022, Volume and Issue: 19, P. 100220 - 100220

Published: Aug. 13, 2022

Language: Английский

---

Integrate exergy costs and carbon reduction policy in order to optimize the sustainability development of coal supply chains in uncertain conditions

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 257, P. 108772 - 108772

Published: Jan. 9, 2023

Language: Английский

---

The role of green finance to achieve sustainability through green supply chain management and innovative technologies

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 27, 2024

Abstract This study investigates the impact of green finance (GF) on sustainable development and supply chains, particularly in context COVID‐19 pandemic. It explores how GF influences firms' economic, environmental, social sustainability, with a focus moderating effects modern technologies like big data analytics (BDA) blockchain. The research is based collected from 562 managers Egypt's industrial manufacturing sectors through survey conducted between November 18th, 2023, January 12th, 2024. survey, which used five‐point Likert scale, was distributed via both traditional electronic methods, its reliability ensured pilot phase involving seven academics five SC practitioners. analyzed using partial least squares structural equation modeling, chosen for effectiveness non‐normal distributions. Bootstrapping method 5000 iterations employed to validate model. findings reveal that significantly enhances chain management (GSCM), when moderated by BDA, though blockchain technology does not have significant effect. Additionally, GSCM found positively influence environmental dimensions development, mediating relationship these sustainability outcomes. provides valuable insights practitioners policymakers, emphasizing critical role BDA fostering especially within Egyptian sectors.

Language: Английский

---