Peihua Fu
Papers
1
Total Citations
1
H-Index
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About
Dr. Peihua Fu is a pioneering researcher at the forefront of logistics digitalization and intelligent systems engineering. Their primary research areas encompass Digital Twin technology, Robotic Process Automation (RPA), and probabilistic modeling for supply chain management. Dr. Fu’s most significant contribution is the conceptualization and implementation of DigiPyramid, a groundbreaking multiresolution Digital Twin framework that revolutionizes reliable logistics management. This innovative framework uniquely integrates RPA to enable low-cost, flexible data aggregation across heterogeneous enterprise systems—including ERP, WMS, and TMS—while employing Bayesian Networks for robust decision-making under uncertainty. The work addresses critical challenges in real-time logistics visibility and operational reliability, offering a scalable solution for intelligentizing complex supply chains. Although recently published in 2025, the DigiPyramid framework has already garnered early citations, signaling its potential for substantial impact. Dr. Fu’s research bridges the gap between theoretical digital twin concepts and practical industrial implementation, providing a blueprint for next-generation logistics systems. Their work stands as a vital resource for researchers and practitioners seeking to harness digital twins and automation for more resilient, intelligent logistics operations.
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