{"title":"Demonstrating a Swarm Production lifecycle: A comprehensive multi-robot simulation approach","authors":"Akshay Avhad , Casper Schou , Halldor Arnarson , Ole Madsen","doi":"10.1016/j.jmsy.2025.01.020","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"79 ","pages":"Pages 484-503"},"PeriodicalIF":12.2000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278612525000305","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.