从自然语言到仿真:应用人工智能实现物流系统的自动化仿真建模

IF 7 2区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Ilya Jackson, Maria Jesus Saenz, Dmitry Ivanov
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引用次数: 0

摘要

我们的研究致力于研究如何从自然语言的口头描述中自动生成物流系统的仿真模型,以及人类专家和基于人工智能(AI)的系统如何在仿真建模领域进行协作。我们证明,在提供口头解释的情况下,基于改进的GPT-3法典构建的框架能够为排队和库存管理系统生成功能有效的模拟。因此,语言模型可以为库存和过程控制生成仿真模型。这些结果,以及语言模型的快速改进,使得仿真模型开发的显著简化成为可能。我们的研究提供了指导方针和基于自然语言处理的框架的设计,如何在给定口头描述的情况下自动构建物流系统的仿真模型。总的来说,我们的工作为模拟模型的开发提供了人类与人工智能协作的技术基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From natural language to simulations: applying AI to automate simulation modelling of logistics systems
Our research strives to examine how simulation models of logistics systems can be produced automatically from verbal descriptions in natural language and how human experts and artificial intelligence (AI)-based systems can collaborate in the domain of simulation modelling. We demonstrate that a framework constructed upon the refined GPT-3 Codex is capable of generating functionally valid simulations for queuing and inventory management systems when provided with a verbal explanation. As a result, the language model could produce simulation models for inventory and process control. These results, along with the rapid improvement of language models, enable a significant simplification of simulation model development. Our study offers guidelines and a design of a natural language processing-based framework on how to build simulation models of logistics systems automatically, given the verbal description. In generalised terms, our work offers a technological underpinning of human-AI collaboration for the development of simulation models.
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来源期刊
International Journal of Production Research
International Journal of Production Research 管理科学-工程:工业
CiteScore
19.20
自引率
14.10%
发文量
318
审稿时长
6.3 months
期刊介绍: The International Journal of Production Research (IJPR), published since 1961, is a well-established, highly successful and leading journal reporting manufacturing, production and operations management research. IJPR is published 24 times a year and includes papers on innovation management, design of products, manufacturing processes, production and logistics systems. Production economics, the essential behaviour of production resources and systems as well as the complex decision problems that arise in design, management and control of production and logistics systems are considered. IJPR is a journal for researchers and professors in mechanical engineering, industrial and systems engineering, operations research and management science, and business. It is also an informative reference for industrial managers looking to improve the efficiency and effectiveness of their production systems.
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