Anarchic manufacturing: implementing fully distributed control and planning in assembly

Anarchic manufacturing: implementing fully distributed control and planning in assembly
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无政府主义制造:在装配中实施完全分布式控制和规划

DOI:
10.1080/21693277.2021.1963346
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发表时间:
2021
影响因子:
--
通讯作者:
C. Snider
C. Snider
中科院分区:
--
文献类型:
--
作者:
Andrew Ma;Aydin Nassehi;C. Snider

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摘要 本文证明分布式控制和规划系统可以解决理想化的混合模型装配问题并与传统系统竞争。无政府制造系统是一种基于自由市场结构的分布式计划和控制系统,系统要素具有决策权和自主权。混合模型装配通常集中管理以进行生产规划和控制,使用简化和分层结构来管理复杂性。在发展无政府状态时,实施工作间合作,以协同工作并有效地实现全球目标。无政府主义系统通过拥抱复杂性来最大限度地提高可用的灵活性,并通过最大限度地提高代理人的终身盈利能力来减少短视决策。通过基于代理的模拟实验,将无政府系统与固定和灵活的集中式系统进行比较。当场景的结构灵活性允许敏捷和延迟的动态决策时,所提出的系统优于传统系统。此外,无政府主义系统与灵活的集中式系统一样有效地管理动态瓶颈中断。
ABSTRACT This paper demonstrates that a distributed control and planning system can fulfil an idealised mixed-model assembly problem and compete with traditional systems. The anarchic manufacturing system is a distributed planning and control system, based on a free market structure, where system elements have decision-making authority and autonomy. Mixed-model assembly is typically managed centrally for production planning and control, using simplification and hierarchical structures to manage complexity. In developing anarchy, inter-job cooperation is implemented to synergise jobs together and fulfil global objectives efficiently. The anarchic system maximises available flexibility, through embracing complexity, and reduces myopic decision making by maximising an agent’s lifetime profitability. Through agent-based simulation experiments, the anarchic system is compared to fixed and flexible centralised systems. The proposed system outperforms traditional systems when the scenario’s structural flexibility allows agile and delayed dynamic decision making. Additionally, the anarchic system managed dynamic bottleneck disruptions as effectively as flexible centralised systems.
通过无政府主义制造拥抱复杂性和复杂性
DOI: 10.1016/j.promfg.2018.12.009
发表时间: 2019
期刊: Procedia Manufacturing
影响因子: --
作者:
Ma A
通讯作者: Ma A
DOI: 10.1080/00207543.2018.1521534
发表时间: 2018-09
影响因子: 9.2
作者:
Andrew Ma;Aydin Nassehi;C. Snider
通讯作者: Andrew Ma;Aydin Nassehi;C. Snider
DOI: 10.1016/j.ifacol.2018.08.355
发表时间: 2018
期刊: IFAC-PapersOnLine
影响因子: --
作者:
Tochev E
通讯作者: Tochev E