Multi-criteria Decision Making in Dynamic Slotting for Attended Home Deliveries

Autor(en)
Magdalena A.K. Lang, Catherine Cleophas, Jan Fabian Ehmke
Abstrakt

To plan attended home deliveries efficiently and profitably, dynamic slotting can tailor the set of time slots offered to the customer. While most existing approaches focus on short-term criteria like revenue, marketing research highlights additional business objectives. For instance, distributing deliveries evenly across the region can ensure the visibility of branded trucks. Alternatively, prioritising influential customers can entice them to recommend the service to others. To accommodate additional objectives, we propose a multi-criteria approach that allocates delivery capacity to time slots and areas in two steps: First, considering spatial information on potential future customers and their values, it computes a predictive routing; second, it solves a revenue management problem to identify the most relevant customers given the set of slotting criteria. A comprehensive computational study demonstrates the effects for three exemplary criteria: revenue, visibility, and social influence. The results show that, depending on the demand scenario, additional criteria can be accommodated at little cost to revenue. However, the interaction of routing effects and offer set optimisation can cause unexpected shifts when changing the weight of criteria in the objective function. Hence, we propose a simulation-based process to let decision makers evaluate the effects of multi-criteria constellations.

Organisation(en)
Institut für Business Decisions and Analytics
Externe Organisation(en)
Rheinisch-Westfälische Technische Hochschule Aachen, Christian-Albrechts-Universität zu Kiel
Journal
Omega
Band
102
Anzahl der Seiten
14
ISSN
0305-0483
DOI
https://doi.org/10.1016/j.omega.2020.102305
Publikationsdatum
07-2020
Peer-reviewed
Ja
ÖFOS 2012
502017 Logistik
Schlagwörter
ASJC Scopus Sachgebiete
Information Systems and Management, Strategy and Management, Management Science and Operations Research
Link zum Portal
https://ucris.univie.ac.at/portal/de/publications/multicriteria-decision-making-in-dynamic-slotting-for-attended-home-deliveries(05ba6efa-c2ff-4062-8064-da51bf22e1f0).html