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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	100oC
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
KATA
© 2016 The Leadership Network®
© 2016 Jidoka®
02
Process Characteristic =
Cold vs Hot
KATA
© 2016 The Leadership Network®
© 2016 Jidoka®
03
Current Condition Side of the Storyboard –
Healthcare, Emergency Dept.
Achieve	by:	3	July
Process	Characteristics
• Capacity	of	215	patients	in	24	hours;	40%	of	total	volume	is	1500-2300
• 45	beds,	Medical	screening	and	Trauma
• No.	of	Nurses	=	44	total;		16 on	0700-1500,	10 on	1500-2300,	18 on	2300-0700
• Two	15	min	breaks,	One	30	min	lunch
Process	Metrics
• Labs	Turn	around	time	(TAT):
• Blood	panels	=	45 min;	Urinalysis	=	35 min;	Radiology	=	60 min
Outcome	Metrics
• Patient	Length	of	Stay	(LOS)	to	d/c		=	260 min
• Patient	Length	of	Stay	(LOS)	to	admit		=	310 min
EMS	arrives	
with	
patient
Trauma	or	
Medical	
Screening?
Medical	
Screening	
Exam	-
Physician
Labs	order	
by	
Physician
Physician	
Diagnosis &	
Treatment	
by	Nurse
Discharged	
or	admitted
KATA
© 2016 The Leadership Network®
© 2016 Jidoka®
04
Target Condition Side of the Storyboard –
Healthcare, Emergency Dept.
Achieve	by:	3	July
Process	Characteristics
• Capacity	of	215	patients	in	24	hours,	40%	of	total	volume	is	1500-2300
• 45	beds,	Medical	screening	and	Trauma
• No.	of	Nurses	=	44	total	10 on	0700-1500,	20 on	1500-2300,	14	on	2300-0700
• Two	15	min	breaks,	One	30	min	lunch
Process	Metrics
• Labs	Turn	around	time	(TAT):
• Blood	panels	=	30 min;	Urinalysis	=	25	min;	Radiology	=	20 min
Outcome	Metrics
• Patient	Length	of	Stay	(LOS)	to	d/c		<	220 min
• Patient	Length	of	Stay	(LOS)	to	admit		<	260 min
EMS	arrives	
with	
patient
Trauma	or	
Medical	
Screening?
Medical	
Screening	
Exam	-
Physician
Labs	order	
by	
Physician
Physician	
Diagnosis &	
Treatment	
by	Nurse
Discharged	
or	admitted
KATA
© 2016 The Leadership Network®
© 2016 Jidoka®
05
Target	Condition
Achieve	by:		06.10.2016
Current	Condition
Process	Metrics Process	Metrics
Outcome	Metrics Outcome	Metrics
F/A	-	Pack
Mill	8
Mill	7
Mill	6
Mill	5
Mill	4
Mill	3
Mill	2
Mill	1
CNC	2
CNC	1
Shaper	6
Shaper	5
Shaper	4
Shaper	3
Shaper	2
Shaper	1
Hob	18
Hob	17
Hob	16
Hob	15
Hob	14
Hob	13
Hob	12
Hob	11
Hob	10
Hob	9
Hob	8
Hob	7
Hob	6
Hob	5
Hob	4
Hob	3
Hob	2
Hob	1
Hob	0
Hob	1
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
OTHER	PROCESS	METRICS:
Mill	Reliability	is	80%
Overtime	is	due	to	machine	reliability	at	Turning	Mills	1,7,	&	8	
NOTES	AND	OBSERVATIONS
PROCESS	CHARACTERISTICS:
We	have	excess	capacity	and	high	variation	in	machine	cycle
with	our	Hob	Machines.		Hob	18	cycle	time	exceeds	Takt	Time
We	have	excess	capacity	and	high	variation	in	machine	cycle
with	our	Turning	Mill	Machines.
PPLH	=	27.5
Scrap	=	6.7%
OverTime	=	8%
First	Pass	Yield	=	93%
Exit	Cycle	Var(Pack)	=	10	s	+/-	12%
Hob	18	Lowest	Repeatable Hi	Var	=	+195%
Lo	Var	=	-	24%=	14	seconds
Takt	Time	=		12.3	seconds
Planned	Cycle	Time=		10.5	Seconds
Number	of	Shifts	=	3
Number	of	Operators	=	10
CURRENT	CONDITION	SUMMARY	SHEET	
Outcome	Metrics	(See	Charts)
Process	Stability:
First	Pass	Yield	> 95%
Mill	Reliability	>	 85%
PPLH	> 37.5
Scrap	< 5%
Overtime	<	10%
Focus	Process: Challenge:It	would	be	Colossal,	if	by	1.1.2017,	the	ACME	machining	cell	occupied	50%	less	
floor	space,	operating	2	shifts	with	50%	of	the	machinery,	so	we	can	achieve:
50	PPLH,	<3.5%	Scrap,	with	No	OvertimeACME	Machining	Cell
Obstacle
1
2
3
4
5
Workload on operators
Scrap
OBSTACLES	PARKING	LOT
How	will	you	measure	that?
Less number of Hobs
Less number of Turning Mills
The	Learner	should	 point	and	
touch	the	storyboard	and	
read	from	it.		It	is	like	his/her	
handhold	 on	the	bus

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Lecture 3a edits

  • 1. 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 100oC 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
  • 2. KATA © 2016 The Leadership Network® © 2016 Jidoka® 02 Process Characteristic = Cold vs Hot
  • 3. KATA © 2016 The Leadership Network® © 2016 Jidoka® 03 Current Condition Side of the Storyboard – Healthcare, Emergency Dept. Achieve by: 3 July Process Characteristics • Capacity of 215 patients in 24 hours; 40% of total volume is 1500-2300 • 45 beds, Medical screening and Trauma • No. of Nurses = 44 total; 16 on 0700-1500, 10 on 1500-2300, 18 on 2300-0700 • Two 15 min breaks, One 30 min lunch Process Metrics • Labs Turn around time (TAT): • Blood panels = 45 min; Urinalysis = 35 min; Radiology = 60 min Outcome Metrics • Patient Length of Stay (LOS) to d/c = 260 min • Patient Length of Stay (LOS) to admit = 310 min EMS arrives with patient Trauma or Medical Screening? Medical Screening Exam - Physician Labs order by Physician Physician Diagnosis & Treatment by Nurse Discharged or admitted
  • 4. KATA © 2016 The Leadership Network® © 2016 Jidoka® 04 Target Condition Side of the Storyboard – Healthcare, Emergency Dept. Achieve by: 3 July Process Characteristics • Capacity of 215 patients in 24 hours, 40% of total volume is 1500-2300 • 45 beds, Medical screening and Trauma • No. of Nurses = 44 total 10 on 0700-1500, 20 on 1500-2300, 14 on 2300-0700 • Two 15 min breaks, One 30 min lunch Process Metrics • Labs Turn around time (TAT): • Blood panels = 30 min; Urinalysis = 25 min; Radiology = 20 min Outcome Metrics • Patient Length of Stay (LOS) to d/c < 220 min • Patient Length of Stay (LOS) to admit < 260 min EMS arrives with patient Trauma or Medical Screening? Medical Screening Exam - Physician Labs order by Physician Physician Diagnosis & Treatment by Nurse Discharged or admitted
  • 5. KATA © 2016 The Leadership Network® © 2016 Jidoka® 05 Target Condition Achieve by: 06.10.2016 Current Condition Process Metrics Process Metrics Outcome Metrics Outcome Metrics F/A - Pack Mill 8 Mill 7 Mill 6 Mill 5 Mill 4 Mill 3 Mill 2 Mill 1 CNC 2 CNC 1 Shaper 6 Shaper 5 Shaper 4 Shaper 3 Shaper 2 Shaper 1 Hob 18 Hob 17 Hob 16 Hob 15 Hob 14 Hob 13 Hob 12 Hob 11 Hob 10 Hob 9 Hob 8 Hob 7 Hob 6 Hob 5 Hob 4 Hob 3 Hob 2 Hob 1 Hob 0 Hob 1 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 OTHER PROCESS METRICS: Mill Reliability is 80% Overtime is due to machine reliability at Turning Mills 1,7, & 8 NOTES AND OBSERVATIONS PROCESS CHARACTERISTICS: We have excess capacity and high variation in machine cycle with our Hob Machines. Hob 18 cycle time exceeds Takt Time We have excess capacity and high variation in machine cycle with our Turning Mill Machines. PPLH = 27.5 Scrap = 6.7% OverTime = 8% First Pass Yield = 93% Exit Cycle Var(Pack) = 10 s +/- 12% Hob 18 Lowest Repeatable Hi Var = +195% Lo Var = - 24%= 14 seconds Takt Time = 12.3 seconds Planned Cycle Time= 10.5 Seconds Number of Shifts = 3 Number of Operators = 10 CURRENT CONDITION SUMMARY SHEET Outcome Metrics (See Charts) Process Stability: First Pass Yield > 95% Mill Reliability > 85% PPLH > 37.5 Scrap < 5% Overtime < 10% Focus Process: Challenge:It would be Colossal, if by 1.1.2017, the ACME machining cell occupied 50% less floor space, operating 2 shifts with 50% of the machinery, so we can achieve: 50 PPLH, <3.5% Scrap, with No OvertimeACME Machining Cell Obstacle 1 2 3 4 5 Workload on operators Scrap OBSTACLES PARKING LOT How will you measure that? Less number of Hobs Less number of Turning Mills The Learner should point and touch the storyboard and read from it. It is like his/her handhold on the bus