Abstract
Abstract As manufacturing is moving from mass production to mass customisation in the age of Industry 4.0, companies are forced to embrace complexity to gain a competitive advantage using the emerging paradigm of digital smart manufacturing. However, with this increasing complicatedness and complexity, traditional hierarchical and centralised models may not be suited to schedule and control the shop floor. The Anarchic Manufacturing system, which is an extremely distributed manufacturing system where decision making authority and autonomy is designated at the lowest level between system elements, is a potential solution to the scheduling and control problem. This paper demonstrates the relative performance of a hierarchical system against an Anarchic system. In a simulated model of a manufacturing system, the capability of each machine is reduced to increase complicatedness and the number of secondary resources required to complete an operation is increased to increase complexity and the performance of the two systems are compared. It is shown that under certain circumstances the Anarchic system performs better than the hierarchical system as complicatedness and complexity increase.
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