Sensor-based maintenance cost estimation and residual value estimation for medical equipment recycling
Liu, Xinlu
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LIU-THESIS-2017.pdf
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https://hdl.handle.net/2142/99171
Description
Title
Sensor-based maintenance cost estimation and residual value estimation for medical equipment recycling
Author(s)
Liu, Xinlu
Issue Date
2017-09-13
Director of Research (if dissertation) or Advisor (if thesis)
Thurston, Deborah
Department of Study
Industrial&Enterprise Sys Eng
Discipline
Systems & Entrepreneurial Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2018-03-13T15:20:55Z
Keyword(s)
Sensor
Residual value estimation
Abstract
Medical equipment manufacturing companies that provide maintenance and product take-back programs have limited information about location and severity of defects, and the condition of the product before making decisions about whether to repair, recycle, remanufacture, refurbish or call-back and scrap the product. The first step is to estimate the residual value of the product. The current methods depends on the owner-claimed condition of the product and the number of accessories. However, the claimed condition is highly subjective and of high degree of variability, even of the same claimed condition and number of accessories. Such high variability in real value is considered to be caused by different working environments and customer user behavior. This thesis proposes a sensor based model to more accurately predict residual value and the actual condition of the product based on measuring the environment and working condition of the product real-time. The model provides suggestions for each individual product based on its quality level and component reliability level. A patient monitor was used as an example. The simulated result showed that the proposed method could significantly reduce the loss from variance in quality of products.
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LIU-THESIS-2017.pdf
