Modelling the complexity of manufacturing systems using nonlinear dynamics approaches

被引：59

作者：

Papakostas, N. ^{[1
]}

Efthymiou, K. ^{[1
]}

Mourtzis, D. ^{[1
]}

Chryssolouris, G. ^{[1
]}

机构：

[1] Univ Patras, Lab Mfg Syst & Automat, Patras, Greece

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2009年 / 58卷 / 01期

关键词：

Modelling; Stability; Scheduling;

D O I：

10.1016/j.cirp.2009.03.032

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper investigates the complexity and the stability of manufacturing systems, introducing concepts based on discrete event simulation and nonlinear dynamics theory. A set of manufacturing models, characterised by different production configurations and part routings, is simulated and evaluated through a series of experiments, employing diverse workload patterns. The results are used for (a) determining the sensitivity of a manufacturing system to workload changes, (b) measuring the complexity of a manufacturing system and (c) discussing measures to control the complexity of a manufacturing system based on the proposed simulation-based approach. (c) 2009 CIRP.

引用

页码：437 / 440

页数：4

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