Genetic Algorithm Approach to Door Assignments in Breakbulk Terminals

Bermudez, R.; Cole, M. H.; Mack-Blackwell Transportation Center (University of Arkansas)

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Genetic Algorithm Approach to Door Assignments in Breakbulk Terminals

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

[PDF-1.37 MB]

English

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Creators:

Bermudez, R. ; Cole, M. H.

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

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

United States. Department of Transportation
Subject/TRT Terms:

[+]

Algorithms Breakbulk Terminals Commercial Vehicles Cost Engineering Door Assignments Doors Doors (Vehicles) Freight Handling Freight Transportation Less-than-truckload Terminals Less Than Truckload Traffic Stack Doors Strip Doors Truck Loading Facilities Truck Terminals
Publication/ Report Number:

FR 1084 ; MBTC 1084

FR 1084 ; MBTC 1084 Less -
Resource Type:

Tech Report
TRIS Online Accession Number:

823239
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
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:0b30ad5c47d0b2599db736f7400ae4a4d6a882d2e49e199f0ec15af6743978ca
Download URL:

https://rosap.ntl.bts.gov/view/dot/37735/dot_37735_DS1.pdf
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Genetic Algorithm Approach to Door Assignments in Breakbulk Terminals

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