Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR
Joint Authors
Liu, Sen
Zhang, Yingying
Hu, Yanan
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The wide application of cloud computing technology makes supply chain partner share information effectively and increase corporate profits.
However, in cloud computing environment, the evaluation process of supply chain partner selection is dynamic and fuzzy, and its evaluation index is uncertain.
To solve these problems, this paper proposes a new method combed with rough number, best-worst multicriteria decision-making method (BWM), and compromise ranking method (VIKOR).
Firstly, Rough number is used to integrate data from different evaluation matrix.
Secondly, rough number improves a new method, BWM, to get RBWM criteria weight methods.
Thirdly, the rough numbers are introduced into VIKOR and combined with RBWM to evaluate and sort the supply chain partners.
Finally, an example is given to demonstrate the rationality and feasibility of the method.
American Psychological Association (APA)
Liu, Sen& Hu, Yanan& Zhang, Yingying. 2018. Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208673
Modern Language Association (MLA)
Liu, Sen…[et al.]. Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208673
American Medical Association (AMA)
Liu, Sen& Hu, Yanan& Zhang, Yingying. Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208673
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208673