Construction of a Practical Teaching System for Smart Logistics Course Integrating Operations Research and Intelligent Decision-Making
Research Article  ·  Published: 04 June 2026
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Frontiers in Educational Innovation and Research
Volume 2, Issue 2, 2026: 40-52
Research Article Open Access

Construction of a Practical Teaching System for Smart Logistics Course Integrating Operations Research and Intelligent Decision-Making

1 School of Business and Tourism Management, Yunnan University, Kunming 650500, China
* Corresponding Author: Jie Li, [email protected]
Volume 2, Issue 2

Article Information

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

Data Availability Statement

Data will be made available on request.

Funding

This work was supported by the Scientific Research Fund Project of Yunnan Provincial Education Department under Grant 2026J0054.

Conflicts of Interest

The author declares no conflicts of interest.

AI Use Statement

The author declares that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate

Not applicable.

References

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Cite This Article

APA Style
Li, J. (2026). Construction of a Practical Teaching System for Smart Logistics Course Integrating Operations Research and Intelligent Decision-Making. Frontiers in Educational Innovation and Research, 2(2), 40-52. https://doi.org/10.62762/FEIR.2026.220598
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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  - 
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@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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CC BY Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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