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Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space

Authors :
Tomas Ambra
An Caris
Cathy Macharis
Business technology and Operations
Electromobility research centre
van der Heide, Gerlach
Faculty of Economic and Social Sciences and Solvay Business School
Mobility, Logistics and Automotive Technology Research Centre
Source :
Journal of Business Logistics. 42:167-190
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

The Physical Internet (PI) concept presents a radical change with the aim to revert the unsustainable practices that are used for transporting goods. It identifies dedicated freight flows and transforms them into transparent open logistics networks which can be accessed by other users, such as shippers and carriers. In this paper, we test the universal network openness in which the users can tap into the PI network and place orders that will be assigned to the nearest available transport service and consequently delivered to the order sender. The objective of our paper is to investigate the impact of inserting extra service points into existing dedicated freight flows of a service‐driven company. We simulate different transparency levels and routings to new pickup locations and evaluate the impact in terms of altered lead times, covered distances, and fill rates. The novel aspects presented herein are (1) deliveries based on decentralized location detection of the nearest order sender, (2) dynamically changing speed parameters of agents within specific geographic clusters based on their geo‐locations in order to account for congestion levels, (3) more realistic routing strategies that consider the urban layout, and (4) transparent querying of nearest agents in space and time that meet specific conditions such as current ongoing processes, available capacity, and position. Finally, we identify the impact from a general/holistic perspective that emerges once extra orders are assigned to the service‐driven company's fleet.

Details

ISSN :
21581592 and 07353766
Volume :
42
Database :
OpenAIRE
Journal :
Journal of Business Logistics
Accession number :
edsair.doi.dedup.....bb82757225740538bbeb9e3892d0b504
Full Text :
https://doi.org/10.1111/jbl.12237