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Benchmark Test Suite
Data Driven Process ImprovementCaroline Bonnes | Anthony D’Ambrosio | Jake Hansen | Robert Shelton
Advisor: Steve Van Aken | Client: Jay Foster, Bob Majure
Solution Architecture
Next Steps
Hypothesis Testing
Flex-Metrics data are underutilized.
throughput losses. Impact
KPI Data Exploration
Flex-Metrics (Flex)
700 production lines
continue development
● additional use cases
● automation● graphical user interface
● Learning Factory
Client Background
benchmark_stats(data, isSegmentData, area, equip, output_name)
Production area of interest
Pandas dataframe containing raw data
Boolean for record type
Equipment in area of interest
Filename for excel output
Opportunity Statement
Estimated(Per Flex Client)
$750,000Minimum$700k
Maximum$820k
Automotive Supplier
throughput
overtime spending
Input
Aggregate results & Create visuals
Tukey test for pairwise equipmentClean/Aggregate
Tukey test for pairwise shifts
Export Excel file.
cleans, queries, and aggregatestwo Tukey tests. the best machine and shift
what is happening in a production area.
IncreaseCustomer
Throughput
Data Source
Excel Client Mfg. Plant
Benchmark results and statistics(Excel)
InputZ-Test comparing
independent Variables
Print Results
run_hypothesis(‘TPut’, data, ‘Shift’, ‘1st Shift’, ‘2nd Shift’)
Pandas dataframe containing raw data
KPI of interest
Independent variable group
Independent variable instances
answer questions using Z-Test.statistical differences in a KPI
why machines are behaving a certain way
Graphic view of spread
Sample Function Call
Sample Function Call