An agent-based simulation system for multi-project scheduling under uncertainty

Authored by Wen Song, Hui Xi, Donghun Kang, Jie Zhang

Date Published: 2018

DOI: 10.1016/j.simpat.2018.05.009

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: UML Other Narrative Pseudocode

Model Code URLs: Model code not found

Abstract

This work proposes an agent-based simulation system to address challenges in resource constrained multi-project scheduling under uncertainty. The system aims at helping users develop robust schedules by taking care of intra- and inter-dependencies between projects, conflicting demands for limited resources, and the potential knock-on effect of unpredictable events. With the interactive graphical user interface embedded in the system, users are enabled to investigate project process, evaluate modified schedule, forecast impact resulted from unexpected disruptions, and conduct various what-if analysis. Reactive and proactive scheduling algorithms have been developed in the simulation system to resolve unforeseen disruptions and increase the robustness of the solutions. Experiments on a real-world case study of a technology-intensive industrial product development program have been conducted to evaluate the effectiveness of the proposed algorithms.

Tags

Agent-based modeling Genetic algorithm Optimization Model Supply chains Interactive simulation platform Dynamic project scheduling Heuristic rules performance Resource constraints Durations