Manufacturing Quality Analysis

Customer Challenges

A medical device company was experiencing increased levels of scraped product in their manufacturing plant. They had several challenges that they wanted to see if their data could help:

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To identify several actions, which when taken will reduce scrap for IMH Burn Defect Code by at least 50%

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To identify at least 5 correlated variables to scrap and actions that can be taken on the IMH Process

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To identify 1 to 2 actions on correlated variables that can be taken across multiple defect codes on SL10 + multiple products

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To identify 2 or 4 optimal product paths through production for standard work for SL10 product

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To identify top 4 yield influences for Delivery Hypotubes

Solution

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Analytics Innovation Workshop to work through key KPI’s of interest

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Innovation lab lite conducted over 3 weeks to understand if data available is sufficient to address challenges

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Technologies used included SAS VA, Power BI, R

Benefits

Multiple data profile analysis and visualisations showed difficulty in identifying scrapped items routes through network

Report given with operators more likely to report scrappage.

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