A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS–ABC Algorithm

Di Liang, Jieyi Wang (), Ran Bhamra, Liezhao Lu and Yuting Li
Additional contact information
Di Liang: School of Mechanical and Engineering, Shenyang University, Shenyang 110044, China
Jieyi Wang: School of Mechanical and Engineering, Shenyang University, Shenyang 110044, China
Ran Bhamra: School of Business and Management Royal Holloway, University of London, Egham TW20 0EX, UK
Liezhao Lu: School of Mechanical and Engineering, Shenyang University, Shenyang 110044, China
Yuting Li: School of Mechanical and Engineering, Shenyang University, Shenyang 110044, China

Mathematics, 2022, vol. 10, issue 21, 1-24

Abstract: This study analyzes the impact of Industry 4.0 and SARS-CoV-2 on the manufacturing industry, in which manufacturing entities are faced with insufficient resources and uncertain services; however, the current study does not fit this situation well. A multi-service composition for complex manufacturing tasks in a cloud manufacturing environment is proposed to improve the utilization of manufacturing service resources. Combining execution time, cost, energy consumption, service reliability and availability, a quality of service (QoS) model is constructed as the evaluation standard. A hybrid search algorithm (VS–ABC algorithm) based on the vortex search algorithm (VS) and the artificial bee colony algorithm (ABC) is introduced and combines the advantages of the two algorithms in search range and calculation speed. We take the customization production of automobiles as an example, and the case study shows that the VS–ABC algorithm has better applicability compared with traditional vortex search and artificial bee colony algorithms.

Keywords: manufacturing; customized products; service composition; evaluation model; hybrid search algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/21/3968/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/21/3968/ (text/html)

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:gam:jmathe:v:10:y:2022:i:21:p:3968-:d:953104

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().