Big data-based research on active remanufacturing comprehensive benefits evaluation of mechanical product. Issue 4 (3rd April 2023)
- Record Type:
- Journal Article
- Title:
- Big data-based research on active remanufacturing comprehensive benefits evaluation of mechanical product. Issue 4 (3rd April 2023)
- Main Title:
- Big data-based research on active remanufacturing comprehensive benefits evaluation of mechanical product
- Authors:
- Zhang, Xugang
He, Qian
Zhang, Hua
Jiang, Zhigang
Wang, Yan - Abstract:
- ABSTRACT: The rapid upgrading of mechanical products has caused serious waste of resources and environmental pollution. For improving the level of resources utilization and reduce the environmental pollution, this paper proposes a model to comprehensively evaluate the benefits of active remanufacturing (AR) of mechanical products based on big data analysis. The proposed model makes a comparison of the benefits of AR products and original products from the three aspects of economy, environment and user experience, and highlights the AR advantages of in-service mechanical products. Firstly, after collecting and analyzing various feedback information from the original manufacturers (OM), retailers (Rs), maintenance personnel (Ms) and end users, quality function deployment (QFD) is used to forecast the AR cost and evaluate of the economic benefits employing the smoothing index method. Secondly, the environmental benefits of different products are evaluated when analyzing the actual operating environment, operating specifications and remanufactured energy consumption of in-service products. Then, the user satisfaction survey of in-service mechanical products is conducted through market research, and the user experience evaluation is performed separately using fuzzy quantification and smoothing index methods. Finally, the feasibility and accuracy of model is verified by an in-service machine tool CA6180.
- Is Part Of:
- International journal of computer integrated manufacturing. Volume 36:Issue 4(2023)
- Journal:
- International journal of computer integrated manufacturing
- Issue:
- Volume 36:Issue 4(2023)
- Issue Display:
- Volume 36, Issue 4 (2023)
- Year:
- 2023
- Volume:
- 36
- Issue:
- 4
- Issue Sort Value:
- 2023-0036-0004-0000
- Page Start:
- 590
- Page End:
- 610
- Publication Date:
- 2023-04-03
- Subjects:
- Mechanical products -- big data analysis -- active remanufacturing -- comprehensive benefits
Computer integrated manufacturing systems -- Periodicals
670.427 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/0951192X.2022.2128214 ↗
- Languages:
- English
- ISSNs:
- 0951-192X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.174700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26973.xml