Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments
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DOI：
10.1017/s0890060423000239
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发表时间：
2024-01-17
影响因子：
2.1
通讯作者：
Hicks，Ben
中科院分区：
文献类型：
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作者：
Gopsill，James;Goudswaard，Mark;Hicks，Ben
增材制造（AM）已经改变了车间生产，并促进了Makerspaces，FabLabs，Hackspaces和Repair Cafés的发展。增材制造使各种各样的组件的处理和制造成为可能，其可访问性使更多的人能够制造。虽然规模小于生产规模，但最小化技术人员开销、资本支出和工作响应时间的目标保持不变。典型的先到先服务（FCFS）运营模式虽然有效，但不一定是最有效的，并且难以应对典型或紧急需求。本文报告了一项研究，该研究调查了配置有Minimally Intelligent代理的AM机器如何支持这些环境中的生产。开发了一个基于代理的模型，该模型模拟了5、10、15和20台AM机器以上午9点至下午5点的模式运行，并经历了不同的非重复需求曲线。机器配置了最低限度的智能- FCFS，第一响应第一服务（FRFS），最长打印时间（LPT），最短打印时间（SPT）和随机选择逻辑-这些逻辑控制从作业池中选择作业。运行总计15，629个配置的全析因模拟，直到收敛到生产性能排名列表-最小作业系统时间。性能变化高达200%。性能配置具有各种逻辑，而性能最差的是FCFS和LPT。所有的FCFS（当今操作的代理）是性能最差的配置之一。结果提供了一组最佳的逻辑和性能带，可用于证明Makerspaces中的资本支出和AM操作。
Additive manufacturing (AM) has transformed job shop production and catalysed the growth of Makerspaces, FabLabs, Hackspaces, and Repair Cafés. AM has enabled the handling and manufacturing of a wide variety of components, and its accessibility has enabled more individuals to make. While smaller than their production-scale counterparts, the objectives of minimizing technician overhead, capital expenditure, and job response time remain the same. The typical First-Come First-Serve (FCFS) operating model, while functional, is not necessarily the most efficient and makes responding to a-typical or urgent demand profiles difficult. This article reports a study that investigated how AM machines configured with Minimally Intelligent agents can support production in these environments. An agent-based model that simulated 5, 10, 15, and 20 AM machines operating a 9 am−5 pm pattern and experiencing a diverse non-repeating demand profile was developed. Machines were configured with minimal intelligence – FCFS, First-Response First-Serve (FRFS), Longest Print Time (LPT), Shortest Print Time (SPT), and Random Selection logics – that governed the selection of jobs from the job pool. A full factorial simulation totaling 15,629 configurations was run until convergence to a ranked list of production performance – min Job Time-in-System. Performance changed as much as 200%. Performant configurations featured a variety of logics, while the least performant were dominated by FCFS and LPT. All FCFS (a proxy for today’s operations) was one of the least performant configurations. The results provide an optimal set of logics and performance bands that can be used to justify capital expenditure and AM operations in Makerspaces.