Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The optimal configuration of manufacturing resources in the cloud manufacturing environment has always been the focus of research on various advanced manufacturing systems.
Aiming at the problem of manufacturing resources optimization configuration for middle and lower batch customization enterprises in cloud manufacturing environment, this paper gives a bi-level programming model for manufacturing resources optimization configuration in cloud manufacturing environment which fully considers customer satisfaction and enterprise customization economic benefits.
The method firstly identifies the relationship between customer demands and customer satisfaction through questionnaires and quantifies the Kano model effectively.
Then, it uses Quality Function Deployment (QFD) to transform customer demand characteristics into engineering characteristics and integrates the qualitative and quantitative results of the Kano model.
Next, the method establishes enterprise economic benefits function according to the factors of order quantity and input cost.
Furthermore, a comprehensive nonlinear bi-level programming model is established based on cost, time, and quality constraints.
The model is solved by intelligent algorithm.
Finally, the validity and feasibility of the model are verified by model simulation of actual orders of an enterprise.
This method effectively realizes the optimal configuration of manufacturing resources in the cloud manufacturing environment, while maximizing the interests of both suppliers and demanders.
American Psychological Association (APA)
Yu, Yinyun& Xu, Wei. 2020. Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1142488
Modern Language Association (MLA)
Yu, Yinyun& Xu, Wei. Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1142488
American Medical Association (AMA)
Yu, Yinyun& Xu, Wei. Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1142488
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142488