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Performance analysis of Bernoulli serial production lines with switch-on/off machine control

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, achieving high energy-efficiency has become one of the primary goals in manufacturing industries, along with maintaining high productivity and quality. In many manufacturing systems, it is sometimes possible to temporarily switch off a machine to reserve energy when it is idle and switch it back on when a certain condition is met. In this paper, we study serial production lines with Bernoulli machines and finite buffers and assume that one of the machines can be switched on and off during the production process according to a pre-determined control policy. Mathematical models for the system under consideration are derived and analytical methods are developed for calculating the system production rate, consumption rate, and power during transients and steady state. Specifically, exact Markovian analysis is used for two-and three-machine lines. For longer lines, an aggregation-based approximation approach is applied. Numerical experiments show that the methods developed can be used to efficiently calculate the systems performance with high accuracy.

Original languageEnglish
Title of host publication2015 IEEE Conference on Automation Science and Engineering
Subtitle of host publicationAutomation for a Sustainable Future, CASE 2015
PublisherIEEE Computer Society
Pages477-482
Number of pages6
ISBN (Electronic)9781467381833
DOIs
Publication statusPublished - 7 Oct 2015
Event11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
Duration: 24 Aug 201528 Aug 2015

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2015-October
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Country/TerritorySweden
CityGothenburg
Period24/08/1528/08/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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