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 language | English |
|---|---|
| Title of host publication | 6th International Symposium on Environment Friendly Energies and Applications |
| Publisher | IEEE Explore |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-7011-4 |
| ISBN (Print) | 978-1-7281-7012-1 |
| DOIs | |
| Publication status | Published - 21 Apr 2021 |
| Event | 6th International Symposium on Environment Friendly Energies and Applications - Vitosha Park Hotel/Technical University of Sofia, Sofia, Bulgaria Duration: 24 Mar 2021 → 26 Mar 2021 Conference number: 6th http://efeaconf.com/ |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2641-5925 |
| ISSN (Electronic) | 2688-2558 |
Conference
| Conference | 6th International Symposium on Environment Friendly Energies and Applications |
|---|---|
| Abbreviated title | EFEA 2021 |
| Country/Territory | Bulgaria |
| City | Sofia |
| Period | 24/03/21 → 26/03/21 |
| Internet address |
Keywords
- job shop scheduling
- hybrid renewable energy system
- sustainable production
- JSS
- HRES
- MOHRES
Access to Document
- Bokah_et_al_EFEA_MultiobjetctiveOptimisatonOf3
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