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Metaheuristics for Vehicle-Routing Problems Arising in Sustainable Logistics

  • This thesis addresses several challenges for sustainable logistics operations and investigates (1) the integration of intermediate stops in the route planning of transportation vehicles, which especially becomes relevant when alternative-fuel vehicles with limited driving range or a sparse refueling infrastructure are considered, (2) the combined planning of the battery replacement infrastructure and of the routing for battery electric vehicles, (3) the use of mobile load replenishment or refueling possibilities in environments where the respective infrastructure is not available, and (4) the additional consideration of the flow of goods from the end user in backward direction to the point of origin for the purpose of, e.g., recapturing value or proper disposal. We utilize models and solution methods from the domain of operations research to gain insights into the investigated problems and thus to support managerial decisions with respect to these issues.

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Metadaten
Author:Julian Hof
URN (permanent link):urn:nbn:de:hbz:386-kluedo-55127
Place of publication:Kaiserslautern
Advisor:Oliver Wendt
Document Type:Doctoral Thesis
Language of publication:English
Publication Date:2019/02/25
Year of Publication:2019
Publishing Institute:Technische Universität Kaiserslautern
Granting Institute:Technische Universität Kaiserslautern
Acceptance Date of the Thesis:2018/12/17
Date of the Publication (Server):2019/02/26
Tag:intermediate stops; large neighborhood search; metaheuristics; path relinking; reverse logistics; synchronization; variable neighborhood search; vehicle routing
Number of page:XII, 162
Faculties / Organisational entities:Fachbereich Wirtschaftswissenschaften
DDC-Cassification:3 Sozialwissenschaften / 330 Wirtschaft
MSC-Classification (mathematics):90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING
Licence (German):Creative Commons 4.0 - Namensnennung, nicht kommerziell, keine Bearbeitung (CC BY-NC-ND 4.0)