Optimization of a spare parts distribution system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F15%3A00231072" target="_blank" >RIV/68407700:21260/15:00231072 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2015.7181547" target="_blank" >http://dx.doi.org/10.1109/SCSP.2015.7181547</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2015.7181547" target="_blank" >10.1109/SCSP.2015.7181547</a>
Alternative languages
Result language
angličtina
Original language name
Optimization of a spare parts distribution system
Original language description
In this paper we focus on the system of the spare parts distribution for authorised garages in the Czech republic and its optimization based on genetic algorithm. Real world problem of garages supply consists of the design of the optimal location of distribution depots and the design of routes that are used for everyday delivery of spare parts. Both of these subproblems that belong to NP-hard problems are solved separately using genetic algorithm. In the facility location problem, the set of customers,set of potential locations of facilities and distances for all their combinations are given and our goal is to select location of facilities with the minimum costs based on chosen criterion. In the second part of the optimization the vehicle routing problem is solved where the goal is to determine the routes described as a sequence of customers visited on this route. Every route starts and ends in the depot and is limited by capacity of the vehicle. Homogeneous fleet was used in this pro
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2015 Smart Cities Symposium Prague (SCSP)
ISBN
978-1-4673-6727-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
Jun 24, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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