A dynamic systems approach to production management in the automotive industry

Vasco Teles; Francisco Restivo

A dynamic systems approach to production management in the automotive industry

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on network theories, dynamic systems were previously thought to act randomly. However, it is now understood that they present particular signals pointing to characteristics of order and auto-organization (Barabási 2007). Discovering those signals of interaction within complex networks is then a challenge to these studies. In this work, while doing an analogy to the automotive industry, we explore the possibility to apply phase space tools to recognize patterns in a plot of data in dynamic systems, where deterministic chaos behaviour may occur. This behaviour is mainly related to decision-making within complex networks, where a tipping point situation can lead to dramatic changes in the otherwise stable system.

Original language	English
Title of host publication	Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems
Publication status	Published - 2010
Externally published	Yes
Event	International Conference on Advances in Production Management Systems, APMS 2010 - Cernobbio, Como, Italy Duration: 11 Oct 2010 → 13 Oct 2010

Publication series

Name	Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems

Conference

Conference	International Conference on Advances in Production Management Systems, APMS 2010
Country/Territory	Italy
City	Cernobbio, Como
Period	11/10/10 → 13/10/10

Keywords

Automotive
Complex systems
Deterministic chaos
Dynamic systems
Early warning signals
Phase space
Production management

Cite this

@inproceedings{463ffd0859f4448e9f6e6d46b9bc66d3,

title = "A dynamic systems approach to production management in the automotive industry",

abstract = "Based on network theories, dynamic systems were previously thought to act randomly. However, it is now understood that they present particular signals pointing to characteristics of order and auto-organization (Barab{\'a}si 2007). Discovering those signals of interaction within complex networks is then a challenge to these studies. In this work, while doing an analogy to the automotive industry, we explore the possibility to apply phase space tools to recognize patterns in a plot of data in dynamic systems, where deterministic chaos behaviour may occur. This behaviour is mainly related to decision-making within complex networks, where a tipping point situation can lead to dramatic changes in the otherwise stable system.",

keywords = "Automotive, Complex systems, Deterministic chaos, Dynamic systems, Early warning signals, Phase space, Production management",

author = "Vasco Teles and Francisco Restivo",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; International Conference on Advances in Production Management Systems, APMS 2010 ; Conference date: 11-10-2010 Through 13-10-2010",

year = "2010",

language = "English",

isbn = "9788864930077",

series = "Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems",

booktitle = "Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems",

}

Teles, V & Restivo, F 2010, A dynamic systems approach to production management in the automotive industry. in Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems. Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems, International Conference on Advances in Production Management Systems, APMS 2010, Cernobbio, Como, Italy, 11/10/10.

A dynamic systems approach to production management in the automotive industry. / Teles, Vasco; Restivo, Francisco.
Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems. 2010. (Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A dynamic systems approach to production management in the automotive industry

AU - Teles, Vasco

AU - Restivo, Francisco

PY - 2010

Y1 - 2010

N2 - Based on network theories, dynamic systems were previously thought to act randomly. However, it is now understood that they present particular signals pointing to characteristics of order and auto-organization (Barabási 2007). Discovering those signals of interaction within complex networks is then a challenge to these studies. In this work, while doing an analogy to the automotive industry, we explore the possibility to apply phase space tools to recognize patterns in a plot of data in dynamic systems, where deterministic chaos behaviour may occur. This behaviour is mainly related to decision-making within complex networks, where a tipping point situation can lead to dramatic changes in the otherwise stable system.

AB - Based on network theories, dynamic systems were previously thought to act randomly. However, it is now understood that they present particular signals pointing to characteristics of order and auto-organization (Barabási 2007). Discovering those signals of interaction within complex networks is then a challenge to these studies. In this work, while doing an analogy to the automotive industry, we explore the possibility to apply phase space tools to recognize patterns in a plot of data in dynamic systems, where deterministic chaos behaviour may occur. This behaviour is mainly related to decision-making within complex networks, where a tipping point situation can lead to dramatic changes in the otherwise stable system.

KW - Automotive

KW - Complex systems

KW - Deterministic chaos

KW - Dynamic systems

KW - Early warning signals

KW - Phase space

KW - Production management

UR - http://www.scopus.com/inward/record.url?scp=84894184254&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84894184254

SN - 9788864930077

T3 - Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems

BT - Proceedings of APMS 2010 - International Conference on Advances in Production Management Systems

T2 - International Conference on Advances in Production Management Systems, APMS 2010

Y2 - 11 October 2010 through 13 October 2010

ER -

A dynamic systems approach to production management in the automotive industry

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this