lecture 3a edits

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KATA © 2016 The Leadership Network ® © 2016 Jidoka ® 01 Process Metrics vs Outcome Metrics Many people have difficulty understanding the relationship and differences between a Process Metric and an Outcome Metrics. The concept they fail to understand is twofold: 1. Process Metrics are measurements in real time. It is however possible to consider a measurement either at a certain point in time past the beginning of the process or maybe at the end of the day. Process Metrics are metrics that you can gather “in the moment” Example are such a construction of a run chart in the previous slides on lowest repeatable process cycle time or the variation from cycle to cycle. Another example is rework. We can measure the first pass yield (FPY for the day at any point in the shift and know at what rate we are having to rework 2. Process Metrics affect or many times determine the values we get as Outcome Metrics. Many times we refer to the Process Metric as the “lever” that controls the Outcome Metric. Example: An Outcome Metric for a pot of boiling water is determined by the Process Metric of the stove burner element. Outcome Metric = Temperature of Water is 100 o C Process Metric = Knob Set at 7 on a 10 notch dial Process Characteristic = size of the pot; size of the heating element; volume of water

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Page 1: Lecture 3a edits

KATA

© 2016 The Leadership Network®

© 2016 Jidoka®

01

Process Metrics vs Outcome MetricsManypeoplehavedifficultyunderstandingtherelationshipanddifferencesbetweenaProcessMetricandanOutcomeMetrics.Theconcepttheyfailtounderstandistwofold:

1. ProcessMetricsaremeasurementsinrealtime.Itishoweverpossibletoconsiderameasurementeitheratacertainpointintimepastthebeginningoftheprocessormaybeattheendoftheday.ProcessMetricsaremetricsthatyoucangather“inthemoment”• Examplearesuchaconstructionofarunchartinthepreviousslidesonlowest

repeatableprocesscycletimeorthevariationfromcycletocycle.• Anotherexampleisrework.Wecanmeasurethefirstpassyield(FPYforthedayat

anypointintheshiftandknowatwhatratewearehavingtorework

2. ProcessMetricsaffectormanytimesdeterminethevalueswegetasOutcomeMetrics.ManytimeswerefertotheProcessMetricasthe“lever”thatcontrolstheOutcomeMetric.• Example:AnOutcomeMetricforapotofboilingwaterisdeterminedbytheProcess

Metricofthestoveburnerelement.OutcomeMetric=TemperatureofWateris100oC

ProcessMetric =KnobSetat7ona10notchdial

ProcessCharacteristic =sizeofthepot;sizeoftheheatingelement; volumeofwater

Page 2: Lecture 3a edits

KATA

© 2016 The Leadership Network®

© 2016 Jidoka®

02

Process Characteristic =Cold vs Hot

Page 3: Lecture 3a edits

KATA

© 2016 The Leadership Network®

© 2016 Jidoka®

03

Current Condition Side of the Storyboard –Healthcare, Emergency Dept.

Achieveby:3July

ProcessCharacteristics• Capacityof215patientsin24hours;40%oftotalvolumeis1500-2300• 45beds,MedicalscreeningandTrauma• No.ofNurses=44total;16on0700-1500,10on1500-2300,18on2300-0700• Two15minbreaks,One30minlunch

ProcessMetrics• LabsTurnaroundtime(TAT):

• Bloodpanels=45min;Urinalysis=35min;Radiology=60min

OutcomeMetrics• PatientLengthofStay(LOS)tod/c=260min• PatientLengthofStay(LOS)toadmit=310min

EMSarriveswithpatient

TraumaorMedicalScreening?

MedicalScreeningExam-Physician

LabsorderbyPhysician

PhysicianDiagnosis &TreatmentbyNurse

Dischargedoradmitted

Page 4: Lecture 3a edits

KATA

© 2016 The Leadership Network®

© 2016 Jidoka®

04

Target Condition Side of the Storyboard –Healthcare, Emergency Dept.

Achieveby:3July

ProcessCharacteristics• Capacityof215patientsin24hours,40%oftotalvolumeis1500-2300• 45beds,MedicalscreeningandTrauma• No.ofNurses=44total10on0700-1500,20on1500-2300,14on2300-0700• Two15minbreaks,One30minlunch

ProcessMetrics• LabsTurnaroundtime(TAT):

• Bloodpanels=30min;Urinalysis=25min;Radiology=20min

OutcomeMetrics• PatientLengthofStay(LOS)tod/c<220min• PatientLengthofStay(LOS)toadmit<260min

EMSarriveswithpatient

TraumaorMedicalScreening?

MedicalScreeningExam-Physician

LabsorderbyPhysician

PhysicianDiagnosis &TreatmentbyNurse

Dischargedoradmitted

Page 5: Lecture 3a edits

KATA

© 2016 The Leadership Network®

© 2016 Jidoka®

05

TargetConditionAchieveby:06.10.2016

CurrentCondition

ProcessMetrics ProcessMetrics

OutcomeMetrics OutcomeMetrics

F/A-Pack

Mill8

Mill7

Mill6

Mill5

Mill4

Mill3

Mill2

Mill1

CNC2

CNC1

Shaper6

Shaper5

Shaper4

Shaper3

Shaper2

Shaper1

Hob18

Hob17

Hob16

Hob15

Hob14

Hob13

Hob12

Hob11

Hob10

Hob9

Hob8

Hob7

Hob6

Hob5

Hob4

Hob3

Hob2

Hob1

Hob0

Hob1

50

48

46

44

42

40

38

36

34

32

30

28

26

24

22

20

18

16

14

12

10

8

6

4

2

0

OTHERPROCESSMETRICS:

MillReliabilityis80%

OvertimeisduetomachinereliabilityatTurningMills1,7,&8

NOTESANDOBSERVATIONS

PROCESSCHARACTERISTICS:

Wehaveexcesscapacityandhighvariationinmachinecycle

withourHobMachines.Hob18cycletimeexceedsTaktTime

Wehaveexcesscapacityandhighvariationinmachinecycle

withourTurningMillMachines.

PPLH=27.5

Scrap=6.7%

OverTime=8%

FirstPassYield=93%

ExitCycleVar(Pack)=10s+/-12%

Hob18LowestRepeatable HiVar=+195%

LoVar=-24%=14seconds

TaktTime=12.3seconds

PlannedCycleTime=10.5Seconds

NumberofShifts=3

NumberofOperators=10

CURRENTCONDITIONSUMMARYSHEET

OutcomeMetrics(SeeCharts)

ProcessStability:

FirstPassYield> 95%MillReliability> 85%

PPLH> 37.5Scrap< 5%Overtime<10%

FocusProcess: Challenge: ItwouldbeColossal,ifby1.1.2017,theACMEmachiningcelloccupied50%lessfloorspace,operating2shiftswith50%ofthemachinery,sowecanachieve:50PPLH,< 3.5%Scrap,withNoOvertimeACMEMachiningCell

Obstacle

1

2

3

4

5

Workload on operators

Scrap

OBSTACLESPARKINGLOTHowwillyoumeasurethat?

Less number of Hobs

Less number of Turning Mills

TheLearnershould pointandtouch thestoryboardandreadfromit.Itislikehis/herhandhold onthebus