OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE

In the event that there is a requirement to provide maintenance with a service intervention somewhere in the area, it is necessary to select a service team which is optimal for the given task for all the assessed aspects. In this article, tests and methods based on TSP principles have been developed...

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Main Authors: Robert Frischer, Miloš Pollak, Zora Koštialová Jančíková
Format: Article
Language:English
Published: 4S go, s.r.o. 2019-09-01
Series:Acta Logistica
Subjects:
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spelling doaj-f8adc95beadb4baf9e9e8d19fe3f93012020-11-25T01:49:49Zeng4S go, s.r.o.Acta Logistica1339-56292019-09-01639310110.22306/al.v6i3.123OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCERobert Frischer0Miloš Pollak1Zora Koštialová Jančíková2VŠB-Technical University OstravaVŠB-Technical University OstravaVŠB-Technical University OstravaIn the event that there is a requirement to provide maintenance with a service intervention somewhere in the area, it is necessary to select a service team which is optimal for the given task for all the assessed aspects. In this article, tests and methods based on TSP principles have been developed that are able to optimize route selection between key points. Due to the complexity of algorithm design, two approaches have been validated. The "Brute Force" method, which can provide information on the choice of the optimal route according to the specified parameters, and the "Nearest Neighbour" method, which is able to quickly calculate a large group of intermediate points, but only provides sufficient results. The aim was to create a methodology, guidance, and direction in evaluating route selection. That is why two basically opposed methods of TSP solution have been chosen, modified by the authors into a form suitable for implementation on virtually any platform. Although the design and program implementation was based on the MATLAB platform, no proprietary functions and libraries are used and the entire software design is implemented without the need for their use.logisticsmaintenanceoptimizationtraveling salesman problem
collection DOAJ
language English
format Article
sources DOAJ
author Robert Frischer
Miloš Pollak
Zora Koštialová Jančíková
spellingShingle Robert Frischer
Miloš Pollak
Zora Koštialová Jančíková
OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE
Acta Logistica
logistics
maintenance
optimization
traveling salesman problem
author_facet Robert Frischer
Miloš Pollak
Zora Koštialová Jančíková
author_sort Robert Frischer
title OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE
title_short OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE
title_full OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE
title_fullStr OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE
title_full_unstemmed OPTIMIZING LOGISTICS ROUTES IN THE FIELD OF MAINTENANCE
title_sort optimizing logistics routes in the field of maintenance
publisher 4S go, s.r.o.
series Acta Logistica
issn 1339-5629
publishDate 2019-09-01
description In the event that there is a requirement to provide maintenance with a service intervention somewhere in the area, it is necessary to select a service team which is optimal for the given task for all the assessed aspects. In this article, tests and methods based on TSP principles have been developed that are able to optimize route selection between key points. Due to the complexity of algorithm design, two approaches have been validated. The "Brute Force" method, which can provide information on the choice of the optimal route according to the specified parameters, and the "Nearest Neighbour" method, which is able to quickly calculate a large group of intermediate points, but only provides sufficient results. The aim was to create a methodology, guidance, and direction in evaluating route selection. That is why two basically opposed methods of TSP solution have been chosen, modified by the authors into a form suitable for implementation on virtually any platform. Although the design and program implementation was based on the MATLAB platform, no proprietary functions and libraries are used and the entire software design is implemented without the need for their use.
topic logistics
maintenance
optimization
traveling salesman problem
work_keys_str_mv AT robertfrischer optimizinglogisticsroutesinthefieldofmaintenance
AT milospollak optimizinglogisticsroutesinthefieldofmaintenance
AT zorakostialovajancikova optimizinglogisticsroutesinthefieldofmaintenance
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