Abstract
In the study, the dynamic variability of reconfigurable manufacturing systems has been addressed and the optimization scheme of component reconfiguration has been also presented. According to the product line process changes, the production line configuration for different products has been identified; stage as a unit, the system reconfiguration path model based graph theory is built up; the weight of each edge is defined according to economic, time and process constraints and the genetic algorithm is adopted to optimize and obtain the optimal/suboptimal reconfiguration path from one configuration to another configuration of multi-stage production line. At last, an actual example, a manufacturing line composed of three RMTs, is also presented. The results show that the methodology can concurrently optimize the process plans and configurations with high computation efficiency.
Highlights
Modern manufacturing enterprises are facing unpredictable, rapidly changing and growing global competition and other issues
Reconfigurable Manufacturing Systems (RMS) have some unique characteristics, changeable structures, modular and fast reconfiguration ability and it can adapt to different aspects of changes, new product to market/product parts/customer needs, technologies and policies and regulations and other ones, which is driven by fierce global competition, improved customer quality and innovative technologies and reflects the balance among economy, technology and society (Koren et al, 1999; Xie and Li, 2006; Hu et al, 2008)
To address configuration path changes caused by production need changes, the genetic algorithm and configuration similar index had been adopted that had reduced cost of each needing stage
Summary
Modern manufacturing enterprises are facing unpredictable, rapidly changing and growing global competition and other issues. Definition 1: Reconfiguration path optimization problem is represented as a Four-tuple RP = (G, S, R, STi), G is the optimization objective, S is the configuration, R is a series of reconfiguration actions, STi is various stage in the production line:. Firstly the relation between each reconfiguration action, reconfiguration cost and time are defined, secondly according to stages of production line, the feasible configuration graph is obtained and the weight sum of cost and time is computed, thirdly the definition the weight of each edge is added according to the weight of each edge search the optimal path between two nodes. When the product changed from type A to type B, the production line need to be reconfigurable operated This production line includes five stages and each stage adjusts according to new configuration, such as add/remove machine tools. The weight of each edge can be calculated according to the equations of Section “Configuration model of RMS”
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