演示蜂群生产生命周期:一个全面的多机器人仿真方法

IF 12.2 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Akshay Avhad , Casper Schou , Halldor Arnarson , Ole Madsen
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引用次数: 0

摘要

蜂群生产是一种结构上的自组织范式,与灵活和可重构的制造原则相一致,以实现高变量和可变容量的市场需求。生产生命周期定义了一个自适应拓扑规划阶段,一个连贯的工作站和多机器人任务分配。调度阶段,以及车队管理阶段。在Swarm Production的规划阶段,Topology Manager系统处理布局优化和重新配置。布局优化在一个生产周期中反复出现,因此成为一个动态布局规划问题。Swarm Manager系统根据拓扑管理器中的优化布局执行生产调度和多机器人车队管理任务。整个生命周期的展示对于展示该范式的能力以及研究由于拓扑变化而导致的生产输出的随机性至关重要。蜂群生产的软件在环模拟演示了使用不同产品组合执行多个生产订单的多个场景。本研究工作还包括将所有系统集成为一个生产套件。这项工作以从特定情景的模拟中获得的定量数据和基于结果的正式分析结束。该研究有助于作为第一个完整的工厂演示,并为即将在蜂群生产中进行的研究工作提供潜在的测试平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstrating a Swarm Production lifecycle: A comprehensive multi-robot simulation approach
Swarm Production is a structurally self-organising paradigm that aligns with flexible and reconfigurable manufacturing principles to achieve high-variant and changeable volume market demand. The production lifecycle defines an adaptive topology planning phase, a coherent workstation and multi-robot task-allocation & scheduling phase, and a fleet management phase. A Topology Manager system handles the layout optimisation and reconfiguration within the planning phase of Swarm Production. The layout optimisation undergoes recurrence during a production lifecycle and hence, becomes a dynamic layout planning problem. A Swarm Manager system executes production scheduling and multi-robot fleet management tasks based on the optimised layout in the Topology Manager. The exhibition of an entire lifecycle is crucial to demonstrate the capability of this paradigm and study the stochastic nature of production output due to the changing topologies. A software-in-the-loop simulation for Swarm Production demonstrates multiple scenarios executing multiple production orders with different product mixes. This research work also includes integrating all the systems to form a production suite. The work concludes with quantitative data acquired from the scenario-specific simulations and a formal analysis based on the results. The research contributes as a first full factory demonstration and a potential test bed for upcoming research undertakings within Swarm Production.
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来源期刊
Journal of Manufacturing Systems
Journal of Manufacturing Systems 工程技术-工程:工业
CiteScore
23.30
自引率
13.20%
发文量
216
审稿时长
25 days
期刊介绍: The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs. With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.
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