In-service machine tool remanufacturing: a sustainable resource-saving and high-valued recovery approach
Author
Abstract
Suggested Citation
DOI: 10.1007/s10668-021-01499-6
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
- Zhigang Jiang & Ya Jiang & Yan Wang & Hua Zhang & Huajun Cao & Guangdong Tian, 2019. "A hybrid approach of rough set and case-based reasoning to remanufacturing process planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 19-32, January.
- Chang Fang & Zhuangzhuang You & Yudou Yang & Duomei Chen & Samar Mukhopadhyay, 2020. "Is third-party remanufacturing necessarily harmful to the original equipment manufacturer?," Annals of Operations Research, Springer, vol. 291(1), pages 317-338, August.
- Xianpei Hong & Lan Wang & Yeming Gong & Wanying (Amanda) Chen, 2020. "What is the role of value-added service in a remanufacturing closed-loop supply chain?," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3342-3361, June.
- Östlin, Johan & Sundin, Erik & Björkman, Mats, 2008. "Importance of closed-loop supply chain relationships for product remanufacturing," International Journal of Production Economics, Elsevier, vol. 115(2), pages 336-348, October.
- Xiaochen Sun & Yancong Zhou & Yongjian Li & Kannan Govindan & Xiaonan Han, 2020. "Differentiation competition between new and remanufactured products considering third-party remanufacturing," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(1), pages 161-180, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zhang, Guangxia & Gong, Yeming & Hong, Xianpei, 2022. "Free rider effect of quality information disclosure in remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
- Alegoz, Mehmet & Kaya, Onur & Bayindir, Z. Pelin, 2021. "A comparison of pure manufacturing and hybrid manufacturing–remanufacturing systems under carbon tax policy," European Journal of Operational Research, Elsevier, vol. 294(1), pages 161-173.
- Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
- Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
- Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
- Yue Tan & Chunxiang Guo, 2019. "Research on Two-Way Logistics Operation with Uncertain Recycling Quality in Government Multi-Policy Environment," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
- Sidney Anderson, 2024. "Expanding data literacy to include data preparation: building a sound marketing analytics foundation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 227-234, June.
- Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
- Anike Sult & Janice Wobst & Rainer Lueg, 2024. "The role of training in implementing corporate sustainability: A systematic literature review," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 1-30, January.
- Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
- Andrea Kolková, 2024. "Data Analysis in Demand Forecasting: A Case Study of Poetry Book Sales in the European Area," Central European Business Review, Prague University of Economics and Business, vol. 2024(5), pages 51-69.
- Leogrande, Angelo, 2021.
"The Destruction of Price-Representativeness,"
MPRA Paper
111239, University Library of Munich, Germany.
- Leogrande, Angelo, 2021. "The Destruction of Price-Representativeness," MPRA Paper 111224, University Library of Munich, Germany.
- Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
- Taiwen Feng & Hongyan Sheng, 2023. "Identifying the equifinal configurations of prompting green supply chain integration and subsequent performance outcome," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5234-5251, December.
- Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
- Correa, Juan C. & Garzón, Wilmer & Brooker, Phillip & Sakarkar, Gopal & Carranza, Steven A. & Yunado, Leidy & Rincón, Alejandro, 2019. "Evaluation of collaborative consumption of food delivery services through web mining techniques," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 45-50.
- Yong Wang & Xudong Deng & Qian Lu & Mingke Guan & Fen Lu & Xiaochang Wu, 2023. "Developing Platform Supply Chain Contract Coordination and a Numerical Analysis Considering Fresh-Keeping Services," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
- Wenkang Zhang & Yufan Zheng & Rafiq Ahmad, 2023. "The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2963-2988, October.
- Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
- Nallapaneni Manoj Kumar & Shauhrat S. Chopra, 2022. "Leveraging Blockchain and Smart Contract Technologies to Overcome Circular Economy Implementation Challenges," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
More about this item
Keywords
Machine tool; Remanufacturing; In-service; Resource-saving; Recovery;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:24:y:2022:i:1:d:10.1007_s10668-021-01499-6. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.