Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Networks Of Interacting Machines: Production Organization In Complex Industrial Systems And Biological Cells, Hardback Book

Networks Of Interacting Machines: Production Organization In Complex Industrial Systems And Biological Cells Hardback

Edited by Dieter (Arizona State Univ, Usa) Armbruster, Kunihiko (Univ Of Tokyo, Japan) Kaneko, Alexander S (Fritz Haber Inst Of The Max Planck Society, Germany) Mikhailov

Part of the World Scientific Lecture Notes In Complex Systems series

Hardback

Description

This review volume is devoted to a discussion of analogies and differences of complex production systems — natural, as in biological cells, or man-made, as in economic systems or industrial production.

Taking this unified look at production is based on two observations: Cells and many biological networks are complex production units that have evolved to solve production problems in a reliable and optimal way in a highly stochastic environment.

On the other hand, industrial production is becoming increasingly complex and often hard to predict.

As a result, modeling and control of such production networks involve many different spatial and temporal scales and decision policies for many different structures.

The common themes of industrial and biological production include evolution and optimization, synchronization and self-organization, robust operation despite high stochasticity, and hierarchical dynamics.

The mathematical techniques used come from dynamical systems theory, transport equations, control theory, pattern formation, graph theory, discrete event simulations, stochastic processes, and others.

The application areas range from semiconductor production to supply chains, protein networks, slime molds, social networks, and whole economies.

Information

Information