Anarchic manufacturing
Anarchic manufacturing
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DOI：
10.1080/00207543.2018.1521534
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发表时间：
2018-09
影响因子：
9.2
通讯作者：
Andrew Ma;Aydin Nassehi;C. Snider
中科院分区：
文献类型：
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作者：
Andrew Ma;Aydin Nassehi;C. Snider
本文介绍了无政府制造，一种高度分布式的计划和控制哲学，作为计划和控制未来智能工厂的方法论。无政府主义制造业将决策权和自主权授权给系统要素中最低级别的实体，而不是集中控制或监督。人们经常假设，传统的分层结构可能不太适合管理最先进的超互联智能工厂，因为它们依赖于管理层之间的通信。另一方面，分布式系统由于其结构，通常被认为比分层系统更灵活、更健壮和更具适应性。本文通过评估作业车间场景中具有代表性的层级系统相对于无政府系统的相对灵活性来表征分布式系统。基于多智能体的仿真被用来建模分层和无政府系统，遵循田口方法来测试它们的灵活性，并与Taillard的基准作业车间问题的总体性能进行比较。结果表明，当受到不可预见的干扰时，无政府主义系统的表现与等级系统一样好，驳斥了等级系统过于僵化而分布式系统天生更灵活的观点。然而，表现出适应性和自我优化特征的无政府制造系统提供了一个平台，可能通过自由市场结构实现新兴的数字制造范例，特别是在通信带宽有限的情况下。
This paper introduces anarchic manufacturing, an extremely distributed planning and control philosophy, as the methodology for planning and controlling future smart factories. Anarchic manufacturing delegates decision-making authority and autonomy to the lowest level of entities in system elements with no centralised control or oversight. It is often postulated that traditional hierarchical structures may not be well suited to manage the state-of-the-art hyper-connected smart factories due to their reliance on communication between management layers. Distributed systems, on the other hand, are commonly perceived to be inherently more flexible, robust and adaptable than hierarchical systems due to their structure. This paper characterises distributed systems by evaluating the relative flexibility of a representative hierarchical system against an anarchic system in a job shop scenario. Multi-agent-based simulation is used to model both hierarchical and anarchic systems, which are tested for flexibility following the Taguchi method and compared against Taillard's benchmark job shop problems for overall performance. The results show that the anarchic system performs as well as the hierarchical system when subjected to unforeseen disruption, refuting the argument that hierarchical systems are too rigid and distributed systems are inherently more flexible. However, anarchic manufacturing systems, which show adaptability and self-optimising traits, provide a platform to potentially enable the emerging digital manufacturing paradigm through the free market structure especially when bandwidth for communications is limited.