Decision support for sustainable and resilience-oriented urban parcel delivery
- authored by
- Max Leyerer, Marc Oliver Sonneberg, Maximilian Heumann, Michael H. Breitner
- Abstract
The worldwide trend of urbanization, the rising needs of individuals, and the continuous growth of e-commerce lead to increasing urban delivery activities, which are a substantial driver of traffic and pollution in cities. Due to rising public pressure, emission-reducing measures are increasingly likely to be introduced. Such measures can cover diesel bans or even entire car-free zones, causing drastic effects on delivery networks in urban areas. As an option to reduce the risk of a regulation-induced shock, we present a resilience-oriented network and fleet optimization. We propose an innovative parcel delivery concept for last mile delivery (LMD) operations and develop an optimization model to support tactical planning decisions. Our model minimizes overall operating costs by determining optimal locations for micro depots and it allocates transport vehicles to them. An adjustable CO2-threshold and external costs are included to consider potential regulatory restrictions by city authorities. We implement our model into a decision support system (DSS) that allows analyzing and comparing different scenarios. We provide a computational study by evaluating and discussing our DSS with an example of a mid-sized German city. Our results and findings demonstrate the trade-off between cost and emission minimization by quantifying the impacts of various fleet compositions. The proposed logistics concept represents an option to achieve environmentally friendly, cost-efficient, and resilient LMD of parcels.
- Organisation(s)
-
Institute of Computer Science for Business Administration
- Type
- Article
- Journal
- EURO Journal on Decision Processes
- Volume
- 7
- Pages
- 267-300
- No. of pages
- 34
- ISSN
- 2193-9438
- Publication date
- 11.2019
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- General Decision Sciences, Statistics and Probability, Business, Management and Accounting (miscellaneous), Computational Mathematics, Applied Mathematics
- Sustainable Development Goals
- SDG 11 - Sustainable Cities and Communities
- Electronic version(s)
-
https://doi.org/10.1007/s40070-019-00105-5 (Access:
Open)
