基于仿真的随机多模式资源约束项目调度框架

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX Pub Date : 2025-07-09 DOI:10.1016/j.mex.2025.103496

Ali Rahimifard , Isa Nakhai-Kamalabadi , Kaveh Khalili-Damghani , Sadigh Raissi

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引用次数: 0

摘要

本文介绍了一种新的基于仿真的框架，旨在解决具有不确定活动时间和有限资源的项目调度问题，称为随机多模式资源约束项目调度问题（SN-MMRCPSP）。通过结合离散事件模拟（DES）和多代理系统（MAS），该方法捕获了项目中真实世界的不确定性和复杂的相互作用。该模型有助于决策者在不确定的环境中更有效地进行规划。针对动态、不确定的调度环境，提出了一种混合DES-MAS仿真体系结构。采用田口实验设计（DOE）确定最优执行模式，增强鲁棒性和性能。通过全面的案例分析和基准比较，论证了模型的实用性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Simulation-based framework for stochastic multi-mode resource-constrained project scheduling

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Simulation-based framework for stochastic multi-mode resource-constrained project scheduling

This paper introduces a new simulation-based framework designed to tackle the challenges of scheduling projects with uncertain activity durations and limited resources, known as the stochastic multi-mode resource-constrained project scheduling problem (SN-MMRCPSP). By combining Discrete Event Simulation (DES) and Multi-Agent Systems (MAS), the approach captures real-world uncertainties and complex interactions within projects. This model helps decision-makers plan more effectively in uncertain environments.

A Hybrid DES-MAS simulation architecture is proposed to model dynamic, uncertain scheduling environments.

The Taguchi Design of Experiments (DOE) is applied to determine optimal execution modes, enhancing robustness and performance.

Demonstrates the model’s practicality and effectiveness through comprehensive case studies and benchmark comparisons.

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