Chap11
-
Upload
gagan-sharma -
Category
Business
-
view
624 -
download
2
Transcript of Chap11
© Nigel Slack and Michael Lewis 2003
Quality
Per
form
ance
o
bje
ctiv
es
Dependability
Developmentand Organization
(Operations development and improvement)
Speed
Flexibility
Cost
Resource Usage
Mar
ket
Co
mp
etit
iven
ess
Decision areas
Issues covered in this chapter
Capacity Supply Network
Process Technology
Issues include:• Organizational structure and
operations effectiveness• Performance measurement used for setting the direction of improvements• Benchmarking against other operators • Prioritising improvements• Learning and enhancing process knowledge through control• Expectations on, and contributions from, the operations function
© Nigel Slack and Michael Lewis 2003
Market potential
Intended market
position
Market strategy
Operation’s capabilities
Operation’s resources and
processes
Operations Resources Market Requirements
The ‘Direct’, ‘Develop’, ‘Deploy’ strategic improvement cycle
DEVELOP operations capabilities through learning
DEPLOY operation’s contribution
DIRECT performance and prioritization
The Strategic Operations
Improvement Cycle
© Nigel Slack and Michael Lewis 2003
Continuous improvement at a strategic level
Market RequirementsOperations Resources
Intended competitive
position in the market place
DEPLOY operation’s contribution by exploiting
superior capabilitiesPotential
competitive position in the market place
MARKET STRATEGY
DEVELOP operations capabilities through learning
The operation’s capabilities
and performance
Getting the fit right
The operation’s
resources and processes
DIRECT performance
© Nigel Slack and Michael Lewis 2003
DIRECT – getting the fit right
‘Fit’ means that the operations resources and processes are aligned with the requirements of its markets.
Line of f
it
Mar
ket
req
uir
emen
ts
Operations resource capability
© Nigel Slack and Michael Lewis 2003
Intended marketposition
Operation’s resources and
processes
Targets
Performance
DIRECT
Directing improvement is a cycle of comparing targets with performance
© Nigel Slack and Michael Lewis 2003
Customer Satisfaction
Productivity
Quality
Dependability
Speed
Flexibility
Cost
Agility
Market Objectives
Financial Objectives
Overall Strategy
Detailed
performance
targets
Increasing aggregation
Increasing strategic relevance
Increasing diagnostic power
Increasing frequency of measurement
Performance targets can involve different levels of aggregation
Intended market
position
Operation’s resources
and processes
© Nigel Slack and Michael Lewis 2003
405060708090
100
X XX
XX
X
Time
Last year’s average performance = 60%
Actual performance = 83%
Performance by historical standards is GOOD
Different standards of comparison give different messages
405060708090
100
X XX
XX
X
Time
Last year’s average performance = 60%
Actual performance = 83%
Performance by historical standards is GOODPerformance against improvement goal is POOR
Improvement goal = 95%
© Nigel Slack and Michael Lewis 2003
405060708090
100
X XX
XX
X
Time
Last year’s average performance = 60%
Actual performance = 83%
Performance by historical standards is GOODPerformance against improvement goal is POORPerformance against competitors is GOOD
Different standards of comparison give different messages
405060708090
100
X XX
XX
X
Time
Last year’s average performance = 60%
Actual performance = 83%
Performance by historical standards is GOODPerformance against improvement goal is POORPerformance against competitors is GOODAbsolute performance is POOR
Improvement goal = 95%
Improvement goal = 95%
Competitor performance = 75%
Competitor performance = 75%
Absolute performance = 100%
© Nigel Slack and Michael Lewis 2003
1
2
3
4
5
6
7
8
9123456789
Importance for customersLOW HIGH
Per
form
ance
ag
ain
st
com
pet
ito
rsG
OO
DB
AD
URGENTACTION
IMPROVE
APPROPRIATE
EXCESS?
F
E
A
C
D
B
The importance-performance matrix
© Nigel Slack and Michael Lewis 2003
1
2
3
4
5
6
7
8
9123456789
Importance for customersLOW HIGH
Per
form
ance
ag
ain
st
com
pet
ito
rsG
OO
DB
AD
The importance-performance matrix for TAG’s ‘overnight temperature-controlled’ service
X
X X
X
X
X
X
X
X
XVolume flexibility
Delivery
Drop quote
Window quote
Distribution quality
Documentation service
Delivery flexibility
Enquiry lead-time
Order/dispatch quality
Price/Cost
© Nigel Slack and Michael Lewis 2003
Cost
Flexibility
Speed
Dependability
Quality
Quality + dependabilityQuality
Quality + dependability + speed
Quality + dependability + speed + flexibility
Quality + dependability + speed + flexibility + cost
The sandcone model of improvement; cost reduction relies on a cumulative foundation of improvement in the other performance objectives
© Nigel Slack and Michael Lewis 2003
Key Indicators
All staff are able to explain the operation’s strategic objectives
Individuals and groups use the strategic objectives to focus improvement activity
All proposed changes are assessed against strategic objectives
All improvement is monitored and measured against strategic objectives
DIRECT – getting the fit right
© Nigel Slack and Michael Lewis 2003
DE
VE
LO
P
Kn
ow
led
ge
Co
ntr
ol
Operation’s capabilities
Operation’s resources and
processes
Developing operations capabilities is encouraged by a cycle of attempting to control processes which enhances process
knowledge which, in turn, makes control easier
© Nigel Slack and Michael Lewis 2003
It isn’t just a matter of being given the right resources
Operations with the same resources will not all give the same performance
So what makes the difference?
How they are able to learn
DEVELOP – through learning
© Nigel Slack and Michael Lewis 2003
Pro
cess
per
form
ance
var
iab
le
Upper bound of acceptability
Upper bound of variation
Lower bound of variation
Lower bound of acceptability
TIME
A process performance chart
© Nigel Slack and Michael Lewis 2003
Pro
cess
per
form
ance
var
iab
le
Upper bound of acceptability
Upper control limit
Lower control limit
Lower bound of acceptability
TIME
A statistical process control chart
Distribution of ‘normal’ variation in process
performance
© Nigel Slack and Michael Lewis 2003
Lower control limits
Upper control limits
TIME TIME
Low process variation allows changes in process performance to be readily detected
© Nigel Slack and Michael Lewis 2003
Systematic learning
You can’t learn about a process when it’s out of control
If things are in control
you notice changes
so you can investigate them
so you can identify root causes
so you can put things right
and improve the process
and learn more about it
© Nigel Slack and Michael Lewis 2003
Process Control
Learning
Process Knowledge
Process control starts the learning which develops process knowledge
© Nigel Slack and Michael Lewis 2003
“Knowledge is power”
1 Complete ignorance Nowhere
2 Awareness Tacit
3 Measurement Written
4 Control of mean Written and in hardware
5 Process capability Hardware and operating manual
6 Process characterization Empirical equations
7 Know why Scientific models
8 Complete knowledge
None
Full
Stage Term Knowledge Typical form of knowledge
DEVELOP – through learning
© Nigel Slack and Michael Lewis 2003
DE
VE
LO
P
Kn
ow
led
ge
Co
ntr
ol
Operation’s capabilities
Operation’s resources and
processes
Understanding process limits
Better products and services
Wide product/service
range
Less costly flexibility
Enhanced quality
Customer loyalty
Retain best staff
Staff job satisfaction
Understanding of process inputs
Higher process efficiency
Enhanced supplier relationships
Lower costs
Process control may be one of the most operational of tasks, but it can bring strategic benefit
© Nigel Slack and Michael Lewis 2003
Building on learning
Key Indicators
Learning is made explicit, “What have you learned at work today?”
Individuals and groups share their learning
Individuals seek out opportunities to actively learn and experiment
Learning is captured and debated
Designated individuals are responsible for learning from other operations
Process knowledge is seen as a key operations objective
© Nigel Slack and Michael Lewis 2003
DEPLOY – the contribution and role of Operations
In everyday life we all switch roles
How we see our role shapes how we behave and interact with others
So critical to success operations strategy is changing how operations management see themselves and are seen by others
The key issues is “What should we expect from operations management?”
© Nigel Slack and Michael Lewis 2003
DEPLOY
Contribution
Expectations
Market potential
Operation’s capabilities
Deploying operation’s capabilities to create market potential means ensuring that the operations function is
expected to contribute to market positioning
© Nigel Slack and Michael Lewis 2003
Link strategy with operations
Give an operations advantage
Externally supportive
Adopt best
practice
Correct the worst
problems
Increasing contri
bution of o
peratio
ns
Internally supportive
Externally neutral
Internally neutral
STAGE 1 STAGE 2 STAGE 3 STAGE 4
Stop holding the
organization back
Be as good as
competitors
Be clearly the best in
the industry
Redefine the industry’s
expectations
Challenges for
operations
Operations are expected to be …….
Hays and Wheelwright’s 4-stage model
© Nigel Slack and Michael Lewis 2003
Correct the Worst
Problems
Increasing contri
bution of o
peratio
ns
Internally neutral
The role of operations can be defined by its aspirations
STAGE 1 STAGE 2 STAGE 3 STAGE 4
Stop holding the
organization back
Adopt best Practice
Externally neutral
Be as good as
competitors
The ability
to Implement
strategy
Link Strategy With
OperationsInternally supportive
Be clearly the best in
the industry
The ability
to Support strategy
Give an Operations Advantage
Externally supportive
Redefine the industry’s
expectations
The ability
to Drive
strategy
© Nigel Slack and Michael Lewis 2003
Contribution and Role
Key Indicators
Staff cooperate and contribute in areas other than their own
Staff understand their role in the internal and external supply chain
The concept of internal supplier development is established
Staff have visited and talked with their internal and external customers
Staff are capable of making a contribution two organizational levels above their own
© Nigel Slack and Michael Lewis 2003
9 8 7 6 5 4 3 2 1
9
8
7
6
5
4
3
2
1
Staff attitude Knowledge
of staff
Getting to right person
Time to resolution
Kept informed
Completeness Staff understanding
LOW HIGHIMPORTANCE
BA
DG
OO
DP
ER
FO
RM
AN
CE
Importance-performance matrix for the New Jersey survey
Slide 11.17
© Nigel Slack and Michael Lewis 2003
0.1
1.0
0.01
1000 100000 100000 1000000 10000000
Cumulative volume of calls processed
Log-log experience curve for KPG Atlanta call center
Ass
oci
ate
ho
urs
per
cal
l
10.0
Slide 11.18