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Six sigma concepts
critical to quality
defect
process capability
variation
stable operations
design for six sigma
Total quality management (TQM)
managing the entire organization of products and services that are important to the customer
dimensions of design quality
performance
features
reliability/durability
serviceability
aesthetics
perceived quality
assumption of cost
failures are caused
prevention is cheaper
performance can be measured
cost of quality
appraisal cost
prevention of cost
internal failure cost
external failure cost
6 sigma quality
used to eliminate defects
reduce variation in processes
defects per million opportunities
shingo system
SQC methods do not prevent defects
defects arise when ppl. make errors
defects can be prevented by providing workers w/ feedback on errors
Forms of variation
assignable and common
assignable variation
caused by factors that can be clearly identified and possibly managed
Common variation
variation that is inherent in production processes
can you have zero variation
no
traditional view of variation
output between limits is goods, outside is bad
taguchi view of variation
costs increase as variability increases, so seek to achieve 0 defects that will minimize quality costs
Problem statement for toyota case
current production line ratio is 85% vs. a planned 95% ratio
car clinic is being used which is against the toyota way
Kanban
demand pulls the product through the manufacturing system
Jidoka
make problems visible and stop producing until problems are fixed
Kaizen
always work on improving a process
Heijunka
make some of every item each product shift
Recommendations of Toyota Case
contain problem:
accommodate problem: firefight and work around problems
solve problem: obey TPS principles to identify “root cause” and eliminate problem
ISO 900 & ISO 14000
standards of quality management
9000 is international reference for quality
14000 is concerned w/ environmental management
Forms of ISO certification
1st party: firm audits itself against 9000 standards
2nd party: Customer audits its supplier
3rd party: qualified standards or certifying agency serves as auditor
Design of experiments (DOE)
stats test to determine cause and effects relationships between process variables and output
Failure made and effect analysis (FMEA)
approach to identify, estimate, prioritize, and evaluate risk of possible failures at each stage in the process