Research on flexible job shop scheduling with low-carbon technology based on quantum bacterial foraging optimization

Tao Ning, Zi Wang, Xiaodong Duan and Xiangdong Liu

International Journal of Low-Carbon Technologies, 2021, vol. 16, issue 3, 761-769

Abstract: In order to further reduce the carbon emission of manufacturing process in flexible job shop, a multi-objective integrated optimization model of flexible job-shop scheduling (FJSP) is proposed. A mathematics model is built in this paper to minimize makespan, total workload of machines and carbon emissions of machines and to optimize process method of each machine characteristic, process sequence and machine allocation. Considering many parameters are interactional and to be optimized in the proposed model, a quantum bacterial foraging optimization is designed to code the related parameters. On the basis of Kacem example through experimental simulation, the performance of the proposed method in the paper was analysed with ANOVA, and by comparing with the algorithms of current separated optimization method of process planning and scheduling, the effect of proposed integrated optimization model on reducing carbon emission in practical requirements of FJSP is verified.

Keywords: low carbon; flexible job-shop scheduling; quantum bacterial foraging optimization; ANOVA (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/ijlct/ctab005 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:16:y:2021:i:3:p:761-769.

Access Statistics for this article

International Journal of Low-Carbon Technologies is currently edited by Saffa B. Riffat

More articles in International Journal of Low-Carbon Technologies from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().