Construction of a Practical Teaching System for Smart Logistics Course Integrating Operations Research and Intelligent Decision-Making
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Abstract
To address the current issue that the smart logistics course focuses heavily on hardware introduction while lacking practical training in operations research optimization and intelligent decision-making, this paper constructs a practical teaching system that integrates operations research and intelligent decision-making. Guided by industry demands such as the low-altitude economy, last-mile delivery, and automated warehousing, a three-tier progressive practical module "Basic, Comprehensive and Innovative" is designed. The system adopts project-based learning (PBL) and is organized in three stages: "Scenario Modeling, Code Implementation and Solution Decision-Making". A diversified process-based assessment and an open-source teaching case and code repository are established as supporting mechanisms. This system shifts the teaching focus from software operation to algorithmic decision-making capability development, effectively enhancing students’ practical abilities in logistics modeling and optimization, and provides a referable curriculum reform solution for cultivating interdisciplinary talents in smart logistics.
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References
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Cite This Article
TY - JOUR AU - Li, Jie PY - 2026 DA - 2026/06/04 TI - Construction of a Practical Teaching System for Smart Logistics Course Integrating Operations Research and Intelligent Decision-Making JO - Frontiers in Educational Innovation and Research T2 - Frontiers in Educational Innovation and Research JF - Frontiers in Educational Innovation and Research VL - 2 IS - 2 SP - 40 EP - 52 DO - 10.62762/FEIR.2026.220598 UR - https://www.icck.org/article/abs/FEIR.2026.220598 KW - smart logistics KW - practical teaching system KW - intelligent decision-making KW - research-teaching integration AB - To address the current issue that the smart logistics course focuses heavily on hardware introduction while lacking practical training in operations research optimization and intelligent decision-making, this paper constructs a practical teaching system that integrates operations research and intelligent decision-making. Guided by industry demands such as the low-altitude economy, last-mile delivery, and automated warehousing, a three-tier progressive practical module "Basic, Comprehensive and Innovative" is designed. The system adopts project-based learning (PBL) and is organized in three stages: "Scenario Modeling, Code Implementation and Solution Decision-Making". A diversified process-based assessment and an open-source teaching case and code repository are established as supporting mechanisms. This system shifts the teaching focus from software operation to algorithmic decision-making capability development, effectively enhancing students’ practical abilities in logistics modeling and optimization, and provides a referable curriculum reform solution for cultivating interdisciplinary talents in smart logistics. SN - 3068-5664 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Li2026Constructi,
author = {Jie Li},
title = {Construction of a Practical Teaching System for Smart Logistics Course Integrating Operations Research and Intelligent Decision-Making},
journal = {Frontiers in Educational Innovation and Research},
year = {2026},
volume = {2},
number = {2},
pages = {40-52},
doi = {10.62762/FEIR.2026.220598},
url = {https://www.icck.org/article/abs/FEIR.2026.220598},
abstract = {To address the current issue that the smart logistics course focuses heavily on hardware introduction while lacking practical training in operations research optimization and intelligent decision-making, this paper constructs a practical teaching system that integrates operations research and intelligent decision-making. Guided by industry demands such as the low-altitude economy, last-mile delivery, and automated warehousing, a three-tier progressive practical module "Basic, Comprehensive and Innovative" is designed. The system adopts project-based learning (PBL) and is organized in three stages: "Scenario Modeling, Code Implementation and Solution Decision-Making". A diversified process-based assessment and an open-source teaching case and code repository are established as supporting mechanisms. This system shifts the teaching focus from software operation to algorithmic decision-making capability development, effectively enhancing students’ practical abilities in logistics modeling and optimization, and provides a referable curriculum reform solution for cultivating interdisciplinary talents in smart logistics.},
keywords = {smart logistics, practical teaching system, intelligent decision-making, research-teaching integration},
issn = {3068-5664},
publisher = {Institute of Central Computation and Knowledge}
}
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