University of Twente Student Theses
Dashboard as a decision support tool to minimize empty miles in shipping network : locating region for improvement
Isnaynizahra, N. (2022) Dashboard as a decision support tool to minimize empty miles in shipping network : locating region for improvement.
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| Abstract: | In the freight logistic network, empty miles is a common problem in which the truck travels empty during backhaul and when driving to the next loading location. herefore, this research is conducted to create a decision support tool that would determine how lanes contribute to the empty miles of the total network, this tool will then be used to determine improvement region. The literature review revealed the potential of utilizing machine learning approaches in the decision support tool. Through visualization techniques exploration and literature review, self-service machine learning visualization features in Power BI were selected to be the primary feature of the decision support tool. The decision support tool prototype is created in a form of a dashboard. The dashboard is designed with a scaling-down concept that provides systematic data insight from the broad overall shipping network view into the specific small region of the network. The dashboard is divided into four main sections. The prototype has been able to solve the core problem of determining empty KM contribution to the network. However, further research should be conducted to optimize the tool's capabilities. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 54 computer science, 55 traffic technology, transport technology |
| Programme: | Industrial Engineering and Management BSc (56994) |
| Link to this item: | https://purl.utwente.nl/essays/93364 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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