A general solution approach for the location routing problem

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

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Abstract

Conventional solution methods for logistics optimization problems often have to be adapted when objectives or restrictions of organizations in logistics environments are changing. In this paper, a new, generic solution approach called optimization network (ON) is developed and applied to a logistics optimization problem, the Location Routing Problem (LRP). With this approach, required flexibility in terms of fast changing data within the advancement of industry 4.0 is addressed. In an ON, existing solution methods are applied to the basic problems of the LRP. A meta solver optimizes the overall result of the network with black box optimization. Based on this, an orchestrator is responsible for the introduction of new optimization runs. The developed approach guarantees that changing external influences only involve the adaption of affected optimization nodes within the ON and not of the whole solution approach. Results are compared with an already existing generic solver and show the potential of the new solution method.

OriginalspracheEnglisch
TitelComputer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers
Redakteure/-innenRoberto Moreno-Diaz, Alexis Quesada-Arencibia, Franz Pichler
Herausgeber (Verlag)Springer
Seiten257-265
Seitenumfang9
ISBN (Print)9783319747170
DOIs
PublikationsstatusVeröffentlicht - 2018
Veranstaltung16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 - Las Palmas de Gran Canaria, Spanien
Dauer: 19 Feb 201724 Feb 2017

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band10671 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz16th International Conference on Computer Aided Systems Theory, EUROCAST 2017
Land/GebietSpanien
OrtLas Palmas de Gran Canaria
Zeitraum19.02.201724.02.2017

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