Abstract
Dynamic rescheduling problem is an important issue in modern manufacturing system with the feature of combinatorial computation complexity. A dynamic rescheduling model, which is based on Multi-Agent System (MAS), was proposed. The communication and negotiation mechanism between agents were addressed to support the autonomic decision for each individual agent and the multi-agent system. Furthermore, the simulation results in dynamic scheduling accompanying with its perturbation show that the proposed model and the algorithm are effective to the dynamic scheduling problem in manufacturing system.
Highlights
Today’s manufacturing businesses are facing immense pressures to react rapidly and robustly to dynamic fluctuations in demand distributions across products and changing product mix
The process for dynamic rescheduling, which is based on Multi-Agent System (MAS), consists of multi-stage local scheduling
In order to testify the efficiency of the rescheduling model and the scheduling algorithms, one machine shop is utilized as a test case
Summary
Today’s manufacturing businesses are facing immense pressures to react rapidly and robustly to dynamic fluctuations in demand distributions across products and changing product mix. Efficient and practical methods for scheduling and optimization technology are the key to improve the productivity and efficiency of a manufacturing plant [1]. The traditional scheduling and optimization process, which always deals with a clear schedule and a fixed processing time, while for the actual processing problem, there are many uncertain factors, for example, changes in processing time, product demand, delivery, equipment failure, resources and production variations. The rescheduling model and its solution method are of significant importance for the dynamic scheduling problem [2]
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