Date of Award


Publication Type

Master Thesis

Degree Name



Mechanical, Automotive, and Materials Engineering

First Advisor

Tam, Edwin


Applied sciences, Logisitcs, Industrial engineering, Management, Container management, Packaging



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


This thesis is focused on finding solutions able to maximize logistics processes efficiency and reduce the impact of transportation on the environment at the same time. The main purposes of the research have been two: finding strategies and methodologies for the reduction of the standard container management complexity and the development of a model for the selection of the optimal container solution both from an economic and environmental perspective. The model has been implemented into a tool able to automate all the computations and evaluations. The outputs of the model/tool have been operationally validated using data from Chrysler and Fiat operations. The results have illustrated the consistency with real industrial applications and the importance to use a multi criteria decision making model, like the one developed, to select the optimal solution when the interaction of several parameters make it difficult to predict the overall result.