Simulation modelling of energy dynamics in discrete manufacturing systems

Vittaldas V. Prabhu, Hyun Woo Jeon, Marco Taisch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

There is a rapidly growing need to understand and manage the energy consumed in discrete manufacturing systems. In order to enable more accurate and detailed energy consumption estimation, several recent studies have focused on energy consumption dynamics of specific manufacturing processes and associated equipment. However in discrete manufacturing systems consisting of multiple machines, energy consumption of individual machines can be expected to be influenced by the higher-level production control systems and its associated policies. This paper presents a simulation model that integrates the machine-level energy control policies together with production control policies to develop a holistic approach to characterize energy dynamics in discrete manufacturing systems. Results from an exploratory study indicate that production control policies can significantly influence the amount of energy wasted in manufacturing systems.

Original languageEnglish (US)
Title of host publicationService Orientation in Holonic and Multi Agent Manufacturing and Robotics
PublisherSpringer Verlag
Pages293-311
Number of pages19
ISBN (Print)9783642358517
DOIs
StatePublished - Jan 1 2013

Publication series

NameStudies in Computational Intelligence
Volume472
ISSN (Print)1860-949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Simulation modelling of energy dynamics in discrete manufacturing systems'. Together they form a unique fingerprint.

  • Cite this

    Prabhu, V. V., Jeon, H. W., & Taisch, M. (2013). Simulation modelling of energy dynamics in discrete manufacturing systems. In Service Orientation in Holonic and Multi Agent Manufacturing and Robotics (pp. 293-311). (Studies in Computational Intelligence; Vol. 472). Springer Verlag. https://doi.org/10.1007/978-3-642-35852-4_19