Multi-Objective Service Selection and Scheduling with Linguistic Preference in Cloud Manufacturing
Wei He,
Guozhu Jia,
Hengshan Zong and
Jili Kong
Additional contact information
Wei He: School of Economics and Management, Beihang University, Beijing 100191, China
Guozhu Jia: School of Economics and Management, Beihang University, Beijing 100191, China
Hengshan Zong: Institute of Systems Engineering, China Aerospace Academy of Systems Science and Engineering, Beijing 100048, China
Jili Kong: School of Modern Post, Beijing University of Posts and Telecommunications, Beijing 100876, China
Sustainability, 2019, vol. 11, issue 9, 1-15
Abstract:
Service management in cloud manufacturing (CMfg), especially the service selection and scheduling (SSS) problem has aroused general attention due to its broad industrial application prospects. Due to the diversity of CMfg services, SSS usually need to take into account multiple objectives in terms of time, cost, quality, and environment. As one of the keys to solving multi-objective problems, the preference information of decision maker (DM) is less considered in current research. In this paper, linguistic preference is considered, and a novel two-phase model based on a desirable satisfying degree is proposed for solving the multi-objective SSS problem with linguistic preference. In the first phase, the maximum comprehensive satisfying degree is calculated. In the second phase, the satisfying solution is obtained by repeatedly solving the model and interaction with DM. Compared with the traditional model, the two-phase is more effective, which is verified in the calculation experiment. The proposed method could offer useful insights which help DM balance multiple objectives with linguistic preference and promote sustainable development of CMfg.
Keywords: cloud manufacturing; service selection and scheduling; linguistic preference; multi-objective optimization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/2071-1050/11/9/2619/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/9/2619/ (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:jsusta:v:11:y:2019:i:9:p:2619-:d:228821
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().