@inproceedings{9b94fe7cd6c64fc5ba3b1246d271af9e,
title = "STRUCTURED TEACHING OF LOGISTICS MODELING: STIMULATING THE MENTAL CAPABILITY OF QUANTITATIVE SKILLS",
abstract = "Logistics management is a core course for students majoring in transportation, industrial engineering, and supply chain management. This paper introduces the philosophy and practice on how we teach the students to apply mathematical models to practical problems in logistics management. We first introduce linear programming models, integer programming models, and mixed-integer linear programming models to students in a gradual way within the context of logistics. Then, we introduce the “big-M” method used in advanced optimization models. Finally, we combine optimization models with typical and well-known problems in logistics management courses as an extension. We found that learning to use mathematical models to address problems in logistics helps the students to acquire a systematical understanding of the operations in logistics. It also leads students to analyze and solve problems in a logical and rigorous way.",
keywords = "Logistics, Optimization models, Teaching strategy, Transportation management",
author = "Ran Yan and Shuaian Wang and Ying Yang",
note = "Publisher Copyright: {\textcopyright} 2021 Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility. All Rights Reserved.; 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, HKSTS 2021 ; Conference date: 09-12-2021 Through 10-12-2021",
year = "2021",
month = jun,
language = "English",
series = "Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility",
publisher = "Hong Kong Society for Transportation Studies Limited",
pages = "42--46",
editor = "Wong, \{Ryan C.P.\} and Jiangping Zhou and W.Y. Szeto",
booktitle = "Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021",
}