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

<p>The utilization of simulation <italic>modelling</italic> in supply chain management has proven to be a valuable tool for logistics service providers, enabling them to optimize their operations and meet customer demands efficiently. AnyLogic, with its diverse capabilities in discrete event simulation, system dynamics, and agent-based simulation, stands out as a powerful software solution for tackling complex supply chain challenges. This paper significantly contributes by demonstrating the practical implementation of AnyLogic in the <italic>modelling</italic> and simulation of agro-food product distribution network, particularly vegetable oils from the Cevital group. Additionally, the study integrates an optimization experiment to ascertain the optimal number of vehicles required to meet a specific customer demand while ensuring a high level of fleet utilization. The obtained results are very encouraging and demonstrate the feasibility and effectiveness of our approach.</p>
</abstract>

The utilization of simulation modelling in supply chain management has proven to be a valuable tool for logistics service providers, enabling them to optimize their operations and meet customer demands efficiently. AnyLogic, with its diverse capabilities in discrete event simulation, system dynamics, and agent-based simulation, stands out as a powerful software solution for tackling complex supply chain challenges. This paper significantly contributes by demonstrating the practical implementation of AnyLogic in the modelling and simulation of agro-food product distribution network, particularly vegetable oils from the Cevital group. Additionally, the study integrates an optimization experiment to ascertain the optimal number of vehicles required to meet a specific customer demand while ensuring a high level of fleet utilization. The obtained results are very encouraging and demonstrate the feasibility and effectiveness of our approach.

Optimizing Algerian Company’s Delivery Fleet with Agent_Based Model in Anylogic

Laboratory of Transportation Engineering and Environment

University Frères Mentouri  Constantine 1

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The utilization of simulation modelling in supply chain management has proven to be a valuable tool for logistics service providers, enabling them to optimize...

Optimizing Algerian Company’s Delivery Fleet with Agent_Based Model in Anylogic

Online veröffentlicht: 17. Nov. 2023

Seitenbereich: 434 - 442

DOI: https://doi.org/10.2478/ttj-2023-0034

Schlüsselwörter
Simulation, AnyLogic software, Geographic Information System (GIS), Utilization rate, Optimization experiment, multi-agent system, agent based

© 2023 Nassima Bounadi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimizing Algerian Company’s Delivery Fleet with Agent_Based Model in Anylogic

Online veröffentlicht: 17. Nov. 2023

Seitenbereich: 434 - 442

DOI: https://doi.org/10.2478/ttj-2023-0034

SchlüsselwörterSimulation, AnyLogic software, Geographic Information System (GIS), Utilization rate, Optimization experiment, multi-agent system, agent based

© 2023 Nassima Bounadi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Simulation, AnyLogic software, Geographic Information System (GIS), Utilization rate, Optimization experiment, multi-agent system, agent based