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Activity Number:
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189
- Contributed Poster Presentations: Section on Physical and Engineering Sciences
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #329075
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Title:
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Reliability Analysis of Lab Instruments Based on Statistical Quality Control Data
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Author(s):
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Min Chen* and Eric Shu Shi and Chonghaw Kwang
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Companies:
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ExxonMobil Biomedical Sciences, Inc. and ExxonMobil Biomedical Sciences, Inc. and ExxonMobil Asia Pacific Pte. Ltd
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Keywords:
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reliablity;
instrument;
SQC;
renewal ;
process;
Poisson
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Abstract:
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Unexpected temporary out-of-service situations and permanent breakdown of product certification instruments in the lab can result in delay of release of products and costs. The aim of this research is to use statistical quality control (SQC) data to predict the reliability of lab instruments so that preventive maintenance can be scheduled proactively. The SQC data were collected for the instrument to measure nitrogen and sulfur. For this repairable lab instrument, the out of control events for 2016-2017 were analyzed to see if the instrument follows renewal process with no reliability deterioration. The mean cumulative function was used to visualize the cumulative number of recurrences of out of control events versus time. Power nonhomogeneous Poisson, proportional intensity Poisson, loglinear nonhomogeneous Poisson, and homogeneous Poisson processes were fitted to the data and compared using a homogeneous test. Both nitrogen and sulfur data show that the progression of repairs is stable and follows homogenous Poisson process. This analysis helps predict how often repairs might need to be completed in the future and determine when an instrument should be taken out of service.
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Authors who are presenting talks have a * after their name.
