2022
DOI: 10.1016/j.jclepro.2021.130238
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Data-Driven Decision-Making method for Functional Upgrade Remanufacturing of used products based on Multi-Life Customization Scenarios

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Cited by 9 publications
(4 citation statements)
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“…Commercial software and hardware components often have a shorter lifespan than the expected lifespan of the entire system (Bowlds et al, 2018;Wu et al, 2022). Rapid software evolution requires frequent updates and increases costs (Alelyani et al, 2019).…”
Section: Obsolescencementioning
confidence: 99%
See 1 more Smart Citation
“…Commercial software and hardware components often have a shorter lifespan than the expected lifespan of the entire system (Bowlds et al, 2018;Wu et al, 2022). Rapid software evolution requires frequent updates and increases costs (Alelyani et al, 2019).…”
Section: Obsolescencementioning
confidence: 99%
“…Commercial software and hardware components often have a shorter lifespan than the expected lifespan of the entire system (Bowlds et al. , 2018; Wu et al. , 2022).…”
Section: Challenges Of Building Automation and Control Systems For Fa...mentioning
confidence: 99%
“…Thus, the environmental pollution caused during the remanufacturing process is less than the pollution caused by the manufacturing of new products [79]. Therefore, it is one of the effective strategies for the sustainable consumption and production of EEE by extending e-waste's lifecycle [80,81].…”
Section: Refurbishing E-wastementioning
confidence: 99%
“…With the development of information technologies, that is, Internet of Things (IoT), cyber-physical system, the data from material flow, energy flow, and waste flow of remanufacturing systems can be collected more conveniently than before, and have shown tremendous advantages in remanufacturing cost prediction, ecological performance evaluation of remanufacturing systems, remanufacturability evaluation. [42][43][44][45] It gives a novel idea for data-driven carbon footprint analysis of remanufacturing systems.…”
Section: Literature Reviewmentioning
confidence: 99%