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Moldable Items Packing Optimization

Date Issued
May 1, 2013
Author(s)
Maleki, Sima
Advisor(s)
Rapinder Sawhney
Additional Advisor(s)
Charles Noon, Joseph Wilck, Xiaoyan Zhu
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/22710
Abstract

This research has led to the development of two mathematical models to optimize the problem of packing a hybrid mix of rigid and moldable items within a three-dimensional volume. These two developed packing models characterize moldable items from two perspectives: (1) when limited discrete configurations represent the moldable items and (2) when all continuous configurations are available to the model. This optimization scheme is a component of a lean effort that attempts to reduce the lead-time associated with the implementation of dynamic product modifications that imply packing changes.


To test the developed models, they are applied to the dynamic packing changes of Meals, Ready-to-Eat (MREs) at two different levels: packing MRE food items in the menu bags and packing menu bags in the boxes. These models optimize the packing volume utilization and provide information for MRE assemblers, enabling them to preplan for packing changes in a short lead-time. The optimization results are validated by running the solutions multiple times to access the consistency of solutions. Autodesk Inventor helps visualize the solutions to communicate the optimized packing solutions with the MRE assemblers for training purposes.

Subjects

3D Packing

Hybrid Packing Optimi...

Moldable Items

Discrete Configuratio...

Layout Optimization

Mathematical Modeling...

MINLP

Disciplines
Industrial Engineering
Industrial Technology
Operations Research, Systems Engineering and Industrial Engineering
Other Engineering
Other Operations Research, Systems Engineering and Industrial Engineering
Degree
Doctor of Philosophy
Major
Industrial Engineering
Embargo Date
May 15, 2014
File(s)
Thumbnail Image
Name

cmalekifinal.pdf

Size

2.24 MB

Format

Adobe PDF

Checksum (MD5)

c7c6ce79172820dd9ed6af1888dd2852

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