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pro vyhledávání: '"Saeed Z. Gavidel"'
Autor:
Jeremy L. Rickli, Saeed Z. Gavidel
Publikováno v:
International Journal of Production Economics. 213:46-54
Extremely large core returns can destabilize remanufacturing systems and is reported as a nuisance for remanufacturers. In this paper, extreme core returns are targeted by investigating the Operation Transition Threshold (OTT) criterion that signals
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 105:3779-3796
Recently, machine learning algorithms have been extensively utilized in resistance spot welding (RSW) applications to develop non-destructive weldability assessment systems to predict nugget width of RSW joints. However, different predictive models h
Publikováno v:
Procedia Manufacturing. 38:431-438
The advancement of communication technologies and the change of the global economic landscape has paved the way for connected, smart manufacturing industries. Cyber-physical systems sit at the core of the development endeavor of the modern manufactur
Autor:
Jeremy L. Rickli, Saeed Z. Gavidel
Publikováno v:
International Journal of Production Research. 55:7153-7167
Quality of a used-product is often highly uncertain, impacts pricing decisions, and is influenced by many factors like age and usage. However, analysis of usage and its uncertain nature is not well understood. In this paper, joint effects of age and
Autor:
Jeremy L. Rickli, Saeed Z. Gavidel
Surveys have indicated that the remanufacturing industry is concerned about the necessity of agile and prioritized core sorting due to its potential benefits to optimal core inventory and condition assessment, both at equipment and component levels.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::255249cbe28ee45994ef5c7e8ec5bc54
https://hdl.handle.net/10419/155500
https://hdl.handle.net/10419/155500