An investigation into minimising total energy consumption, total energy cost and total tardiness based on a rolling blackout policy in a job shop

Ying Liu, Niels Lohse, Sanja Petrovic, Nabil Gindy

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

Abstract

Manufacturing enterprises nowadays face the challenge of increasing energy price and emission reduction requirements. An approach to reduce energy cost and become environmental friendly is to incorporate energy consumption into consideration while making the scheduling plans. The research presented by this paper is set in a classical job shop circumstance, the model for the triple objectives problem that minimise total electricity cost, total electricity consumption and total tardiness when the Rolling Blackout policy is applied. A case study based on a 3*3 job shop is presented to show how scheduling plans affect electricity consumption and its related cost, and to prove the feasibility of the model.

Original languageEnglish
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationCompetitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers
PublisherSpringer
Pages103-110
Number of pages8
EditionPART 1
ISBN (Print)9783642403514
DOIs
Publication statusPublished - 2013
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012 - Rhodes, Greece
Duration: 24 Sept 201226 Sept 2012

Publication series

NameIFIP Advances in Information and Communication Technology
NumberPART 1
Volume397
ISSN (Print)1868-4238

Conference

ConferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012
Country/TerritoryGreece
CityRhodes
Period24/09/1226/09/12

Keywords

  • Energy efficient production planning
  • Job shop scheduling
  • Sustainable manufacturing

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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