TY - GEN
T1 - A general solution approach for the location routing problem
AU - Hauder, Viktoria
AU - Karder, Johannes
AU - Beham, Andreas
AU - Wagner, Stefan
AU - Affenzeller, Michael
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Integration
KW - Location routing problem
KW - Optimization networks
KW - Synergy effects
UR - http://www.scopus.com/inward/record.url?scp=85041848838&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-74718-7_31
DO - 10.1007/978-3-319-74718-7_31
M3 - Conference contribution
SN - 9783319747170
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 257
EP - 265
BT - Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers
A2 - Moreno-Diaz, Roberto
A2 - Quesada-Arencibia, Alexis
A2 - Pichler, Franz
PB - Springer
T2 - 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017
Y2 - 19 February 2017 through 24 February 2017
ER -