Modeling energy performance of manufacturing systems using Gi/M/1 queues

Hyun Woo Jeon, Vittaldas V. Prabhu

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

1 Scopus citations

Abstract

Energy expended in a discrete manufacturing system can be saved by turning idle machines off. Utilizing this idea, previous research has contributed preliminary models in which mainly M/M/1 machines are considered. To generalize existing approaches, this paper proposes a new energy model based on a Gi/M/1 queueing network. To start, a simulation model is built with Gi/M/1 machines. The proposed model is then built by fitting each GED (Generalized Erlang Distribution) to the observed first two moments of simulated interarrival times of all machines. Consumed energy is calculated separately by the proposed and simulation models, and, in the comparison between two estimations, the proposed method shows at most 4% different energy estimation from simulated values, suggesting that the proposed approach is promising for the energy analysis about a Gi/M/1 queueing network.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationSustainable Production and Service Supply Chains - IFIP WG 5.7 International Conference, APMS 2013, Proceedings
EditorsVittal Prabhu, Marco Taisch, Dimitris Kiritsis
PublisherSpringer New York LLC
Pages127-134
Number of pages8
ISBN (Electronic)9783642412653
DOIs
StatePublished - 2013
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2013 - State College, United States
Duration: Sep 9 2013Sep 12 2013

Publication series

NameIFIP Advances in Information and Communication Technology
Volume414
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2013
Country/TerritoryUnited States
CityState College
Period9/9/139/12/13

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

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