Shipping Configuration Optimization with Topology-Based Guided Local Search for Irregular Shaped Shipments

Manufacturer that uses containers to ship products always works to optimize the space inside the containers. Container loading problems (CLP) are widely encountered in forms of raw material flow and handling, product shipments, warehouse management, facility floor planning, as well as strip-packing nesting problems.Investigations and research conducted two decades ago were logistic orientated, on the basis of the empirical approaches.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Technology

Year

2015

Author dc:creator

• Chang, Xinyue

Contributors dc:contributor

• Haiyan H. Zhang
• Duane D. Dunlap
• Richard M. French
• Qingyou Han

• Container Loading Problem
• Envelop Shapes
• Irregular Shaped Objects
• Metaheuristic
• Real World Constraints
• Topology-based Guided Local Search

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1357

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2573