Publication
Title
Integrating partner objectives in horizontal logistics optimisation models
Author
Abstract
In this paper a general solution framework is presented for optimising decisions in a horizontal logistics cooperation. The framework distinguishes between the objective of the group and the objectives of the individual partners in the coalition. Although the importance of the individual partner interests is often acknowledged in the literature, the proposed solution framework is the first to include these objectives directly into the objective function of the optimisation model. The solution framework is applied to a collaborative variant of the clustered vehicle routing problem, for which we also create a set of benchmark instances. We find that by only considering a global coalition objective, the obtained solution is often suboptimal for some partners in the coalition. Providing a set of high quality alternative solutions that are Pareto efficient with respect to the partner objectives, gives additional insight in the sensitivity of a solution, which can support the decision making process. Our computational results therefore acknowledge the importance of including the individual partner objectives into the optimisation procedure. (C) 2017 Elsevier Ltd. All rights reserved.
Language
English
Source (journal)
Omega: the international journal of management science. - London
Publication
London : 2019
ISSN
0305-0483
Volume/pages
82 (2019) , p. 1-12
ISI
000448494300001
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Collaborative Vehicle Routing. Algorithms for operational and tactical decision support in multi-partner VRPs.
Combinatorial optimization: metaheuristics and exact methods (COMEX).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 10.12.2018
Last edited 20.09.2021
To cite this reference