Autonomous control methods in logistics - A mathematical perspective

被引：6

作者：

Dashkovskiy, Sergey ^{[2
]}

Goerges, Michael ^{[3
]}

Naujok, Lars ^{[1
]}

机构：

[1] Univ Bremen, Ctr Ind Math, D-28334 Bremen, Germany

[2] Univ Appl Sci Erfurt, Dept Civil Engn, D-99085 Erfurt, Germany

[3] Univ Bremen, BIBA Bremer Inst Prod & Logist GmbH, D-28334 Bremen, Germany

来源：

APPLIED MATHEMATICAL MODELLING | 2012年 / 36卷 / 07期

关键词：

Modeling; Nonlinear systems; Production networks; Autonomous control; Robustness; Stability;

D O I：

10.1016/j.apm.2011.09.075

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We model general autonomously controlled production networks by means of nonlinear differential equations and implement autonomous control methods, where transportation times and disturbances in the transportation times are taken into account. Autonomous control enables intelligent logistic objects to route themselves through a logistic network. Based on this model we investigate a certain scenario of a production network, where we show advantages and disadvantages of the implementation of Autonomous control methods from a mathematical perspective in view of robustness and stability. (C) 2011 Elsevier Inc. All rights reserved.

引用

页码：2941 / 2954

页数：14

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