Repository logo

Exploring the Dynamics of Freight Delivery: A Comparative Analysis of Physical Internet and Conventional Supply Chain Methods

dc.contributor.authorChen, Ruohao
dc.contributor.copyright-releaseYesen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Industrial Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerZhuojun Liuen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerClaver Dialloen_US
dc.contributor.thesis-readerPemberton Cyrusen_US
dc.contributor.thesis-supervisorUday Venkatadrien_US
dc.date.accessioned2024-07-18T14:42:35Z
dc.date.available2024-07-18T14:42:35Z
dc.date.defence2024-06-05
dc.date.issued2024-07-12
dc.descriptionThis paper examines how different network configurations impact freight delivery dynamics, comparing Physical Internet (PI) and conventional (CO) distribution across line, tree, square, circle, and cluster topologies. A mixed-integer linear program (MILP) model is introduced to optimize dispatching and inventory costs, balancing the trade-off between faster dispatch times and higher transportation expenses. The study applies this model to both PI and conventional distribution scenarios for each topology, highlighting conditions where PI performs favorably. Key performance factors include distance ratios and vehicle capacity relative to dispatch flows. The line configuration consistently benefits PI, while other topologies show PI's advantages with increased distance ratios and optimal flow quantity relative to vehicle capacity.en_US
dc.description.abstractThis paper compares the effect of network configuration on the dynamics of freight delivery. A comparison is made between Physical Internet (PI) and conventional (CO) distribution for the line, tree, square, circle, and cluster topologies. A mixed-integer linear program (MILP) model is presented to optimize the trade-off between dispatching and inventory costs. Quicker dispatch reduces inventory costs but increases the cost of transportation. This model is then applied to both the PI and conventional distribution contexts for each topology to understand the conditions favorable to PI. The key factors affecting the performance of the two methods are the distance ratio and the capacity of vehicles relative to dispatch flows. In terms of topology, the line configuration is always beneficial to PI but in the case of the other topologies, PI is good when the distance ratios and the flow quantity in relation to vehicle capacity increase.en_US
dc.identifier.urihttp://hdl.handle.net/10222/84347
dc.language.isoenen_US
dc.subjectSupply Chainen_US
dc.subjectPhysical Interneten_US
dc.subjectLogisticen_US
dc.titleExploring the Dynamics of Freight Delivery: A Comparative Analysis of Physical Internet and Conventional Supply Chain Methodsen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
RuohaoChen2024.pdf
Size:
3.69 MB
Format:
Adobe Portable Document Format
Description:
Entire Thesis with appendix

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: