<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>On-demand food delivery services have transformed the food industry, offering customers a convenient way to order their favorite food from restaurants and have it delivered to their doorstep. However, the increased number of delivery vehicles has led to higher costs, traffic congestion, and carbon emissions. To tackle these negative impacts, consolidating the delivery process by combining multiple orders from different restaurants to various customers has been suggested. This study evaluates the sustainability impact of direct versus consolidated orders in the on-demand food delivery sector. To achieve the objective, we used an agent-based simulation model based on real delivery data from Yogyakarta, Indonesia. Our simulation results indicate that due to constraints in time windows and routing complexity, only a small portion of all orders can be consolidated. But where consolidation is feasible, it can benefit businesses and the environment by reducing costs for customers, increasing drivers’ productivity, and reducing carbon emissions. The downside is that it may result in a longer customer waiting time. These findings provide valuable insights for businesses and policymakers seeking to promote sustainable practices in the on-demand food delivery sector.</p>
</abstract>

On-demand food delivery services have transformed the food industry, offering customers a convenient way to order their favorite food from restaurants and have it delivered to their doorstep. However, the increased number of delivery vehicles has led to higher costs, traffic congestion, and carbon emissions. To tackle these negative impacts, consolidating the delivery process by combining multiple orders from different restaurants to various customers has been suggested. This study evaluates the sustainability impact of direct versus consolidated orders in the on-demand food delivery sector. To achieve the objective, we used an agent-based simulation model based on real delivery data from Yogyakarta, Indonesia. Our simulation results indicate that due to constraints in time windows and routing complexity, only a small portion of all orders can be consolidated. But where consolidation is feasible, it can benefit businesses and the environment by reducing costs for customers, increasing drivers’ productivity, and reducing carbon emissions. The downside is that it may result in a longer customer waiting time. These findings provide valuable insights for businesses and policymakers seeking to promote sustainable practices in the on-demand food delivery sector.

The Impact of Consolidating On-Demand Food Delivery on Sustainability: A Simulation Study

Department of Mechanical and Industrial Engineering

LOGI – Scientific Journal on Transport and Logistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

On-demand food delivery services have transformed the food industry, offering customers a convenient way to order their favorite food from restaurants and have...

The Impact of Consolidating On-Demand Food Delivery on Sustainability: A Simulation Study

Publié en ligne: 06 nov. 2023

Pages: 286 - 297

Reçu: 18 avr. 2023

Accepté: 15 sept. 2023

DOI: https://doi.org/10.2478/logi-2023-0026

Mots clés
Consolidated delivery, on-demand food delivery, agent-based simulation, sustainability

© 2023 Radhitya V.P. Sunarso et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The Impact of Consolidating On-Demand Food Delivery on Sustainability: A Simulation Study

Publié en ligne: 06 nov. 2023

Pages: 286 - 297

Reçu: 18 avr. 2023

Accepté: 15 sept. 2023

DOI: https://doi.org/10.2478/logi-2023-0026

Mots clésConsolidated delivery, on-demand food delivery, agent-based simulation, sustainability

© 2023 Radhitya V.P. Sunarso et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Consolidated delivery, on-demand food delivery, agent-based simulation, sustainability