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

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY
Nassima Bounadi, Serial Rayene Boussalia, Ahmed Bellaouar
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引用次数: 0

Abstract

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.
利用 Anylogic 中基于代理的模型优化阿尔及利亚公司的运输车队
摘要 在供应链管理中使用仿真建模已被证明是物流服务供应商的一项宝贵工具,使他们能够优化运营,有效满足客户需求。AnyLogic 具有离散事件仿真、系统动力学和基于代理的仿真等多种功能,是应对复杂供应链挑战的强大软件解决方案。本文通过展示 AnyLogic 在农业食品产品分销网络(尤其是 Cevital 集团的植物油)建模和仿真中的实际应用,对该领域做出了重要贡献。此外,该研究还整合了一项优化实验,以确定满足特定客户需求所需的最佳车辆数量,同时确保车队的高利用率。研究结果令人鼓舞,证明了我们方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
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