Genetic Algorithm Approach to Door Assignments in Breakbulk Terminals

Bermudez, R.; Cole, M. H.

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Genetic Algorithm Approach to Door Assignments in Breakbulk Terminals

2001-08-23
By Bermudez, R. ; Cole, M. H.

File Language:

English

Details

Creators:

Bermudez, R. ; Cole, M. H.
Corporate Creators:

Mack-Blackwell Transportation Center (University of Arkansas)
Corporate Contributors:

United States. Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

FR 1084 ; MBTC 1084
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation
Abstract:

This paper presents a genetic algorithm for assigning doors in LTL (less-than-truckload) breakbulk terminals. Typically, strip (incoming freight) doors and stack (outgoing freight) doors are assigned to city areas. Incoming trailer loads are broken up and moved to appropriate outgoing trailers. The objective is to minimize the total weighted travel distance, a surrogate for labor cost and cycle time. The underlying problem is a Quadratic Assignment Problem. The experiments are based on real-world data.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/37735/dot_37735_DS1.pdf
File Type:

[PDF - 1.37 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:cb923e3e0eeb7808183052385ee2d1dcf5f4124539ae66a541d6898a127d80eb81c57218a2895bec45526913e5259685e041f60bd7957d2f4d3de4f2f47dc9fd

File Language:

English

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