Multiobjective Optimisation of Job Shop Scheduling of Renewable Powered Machinery

Abdihakim Bokah, Alireza Maheri

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

Abstract

In this paper a multiobjective job shop scheduling (JSS) problem formulation is presented in which the machinery load is fully or partially supplied by renewable resources. The makespan and the unmet load are used as the optimisation objectives. An NSGA-II is used for finding Pareto solutions. The algorithm is integrated in the software MOHRES, which evaluates the performance of the renewable system. Through a case study, the performance of the algorithm is evaluated, and it is shown how the algorithm can successfully find Pareto solutions with minimal makespan and unmet load.
Original languageEnglish
Title of host publication6th International Symposium on Environment Friendly Energies and Applications
PublisherIEEE Explore
Number of pages6
ISBN (Electronic)978-1-7281-7011-4
ISBN (Print)978-1-7281-7012-1
DOIs
Publication statusPublished - 21 Apr 2021
Event6th International Symposium on Environment Friendly Energies and Applications - Vitosha Park Hotel/Technical University of Sofia, Sofia, Bulgaria
Duration: 24 Mar 202126 Mar 2021
Conference number: 6th
http://efeaconf.com/

Publication series

Name
ISSN (Print)2641-5925
ISSN (Electronic)2688-2558

Conference

Conference6th International Symposium on Environment Friendly Energies and Applications
Abbreviated titleEFEA 2021
CountryBulgaria
CitySofia
Period24/03/2126/03/21
Internet address

Keywords

  • job shop scheduling
  • hybrid renewable energy system
  • sustainable production
  • JSS
  • HRES
  • MOHRES

Fingerprint Dive into the research topics of 'Multiobjective Optimisation of Job Shop Scheduling of Renewable Powered Machinery'. Together they form a unique fingerprint.

Cite this