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MTAT.03.231
Business Process Management
Lecture 7 – Quantitative Process
Analysis I
Marlon Dumas
marlon.dumas ät ut . ee
1
Process Analysis
Process
identification
Conformance and
performance insights
Conformance and
performance insights
Process
monitoring and
controlling
Executable
process
model
Executable
process
model
Process
implementation To-be process
model
To-be process
model
Process
analysis
As-is process
model
As-is process
model
Process
discovery
Process architecture
Process architecture
Process
redesign
Insights on
weaknesses and
their impact
Insights on
weaknesses and
their impact
Process Analysis Techniques
Qualitative analysis
• Value-Added & Waste Analysis
• Root-Cause Analysis
• Pareto Analysis
• Issue Register
Quantitative Analysis
• Flow analysis
• Queuing analysis
• Simulation
1. Introduction
2. Process Identification
3. Essential Process Modeling
4. Advanced Process Modeling
5. Process Discovery
6. Qualitative Process Analysis
7. Quantitative Process Analysis
8. Process Redesign
9. Process Automation
10.Process Intelligence
Process performance
If you had to choose between two
services, you would typically choose the
one that is:
• F…
• C…
• B…
Process performance
If you had to choose between two
services, you would typically choose the
one that is:
• Faster
• Cheaper
• Better
Process performance
Process
performance
Time
Cost
Quality
Processing
time
Waiting
time
Cycle
time
Time measures
8
Time taken by
value-adding
activities
Time between start
and completion of a
process instance
Time taken by
non-value-adding
activities
Processing
Time
Cycle Time
Cycle Time
Efficiency
Cycle time efficiency
9
Processing
cost
Cost of
waste
Per-
Instance
Cost
Cost measures
10
Cost of value-
adding
activities
Cost of a process
instance
Cost of non-
value-adding
activities
Material cost
•Cost of tangible or intangible
resources used per process instance
Resource cost
•Cost of person-hours employed per
process instance
Typical components of cost
11
Time spent
per resource
on process
work
Time
available per
resource for
process work
Resource
utilization
Resource utilization
12
Resource utilization = 60%
 on average resources are idle 40% of their
allocated time
Resource
utilization Waiting time
Resource utilization vs. waiting time
13
Typically, when resource utilization > 90%
 Waiting time increases steeply
Product quality
• Defect rate
Delivery quality
• On-time delivery rate
• Cycle time variance
Customer satisfaction
• Customer feedback score
Quality
14
For each performance measure, define targets
ST30 > 99%
For each objective, identify variable(s) and aggregation
method  performance measure
Variable: customer served in
< 30 min.
Aggregation method:
percentage
Measure: ST30 = % of
customers served in < 30 min.
For each process, formulate process performance objectives
Customer should be served always in a timely manner
Identifying performance measures
15
Financial Customer
Internal
business
process
Innovation
& learning
Balanced scorecard
16
Cost
measures
Quality &
time
measures
Quality & time
measures
Technology
leadership,
Staff
satisfaction
Supply Chain Operations Reference Model (SCOR)
• Performance measures for supply chain management
processes
American Productivity and Quality Council (APQC)
• Performance measures and benchmarks for processes in the
Process Classification Framework (PCF)
IT Infrastructure Library (ITIL)
• Performance measures for IT service management processes
Process performance reference models
17
Process
model
Performance
of each
activity
Process
performance
Flow analysis
19
Flow analysis of cycle time
20
1 day
1 day
3 days
3 days
1 day
2 days
Cycle time = X days
Sequence – Example
21
• What is the average cycle time?
Cycle time = 10 + 20 = 30
50%
50%
90%
10%
Cycle time = 10 + (20+10)/2 = 25
Cycle time = 10 + 0.9*20+0.1*10 = 29
Example: Alternative Paths
• What is the average cycle time?
Cycle time = 10 + 20 = 30
Example: Parallel paths
• What is the average cycle time?
• What is the average cycle time?
Example: Rework loop
100%
0%
Cycle time = 10 + 20 = 30
1%
99%
Cycle time = 10 + 20/0.01 = 2010
80%
20%
Cycle time = 10 + 20/0.8 = 35
Flow analysis equations for cycle time
CT = max(T1, T2,…, TN)
CT = p1*T1+p2*T2+…+ pn*TN
CT = T / (1-r)
CT = T1+T2+…+ TN
T
r
1 - r
T1
...
T2
TN
T1
...
T2
TN
p2
pn
p1
T1 ...
T2 TN
Flow analysis of cycle time
26
1 day
1 day
3 days
3 days
1 day
2 days
Cycle time = 1.25 + 3 + 3 + 1.4 = 8.65 days
20% 60%
1/0.8 max(1,3) 3 0.6*1+0.4*2
80%
40
%
Flow analysis of processing time
27
2
hours
0.5
hour
2
hours
2
hours
0.5 mins.
Processing time = 2.5 + 3 + 2 + 1.4 = 8.9 hours
20% 60%
2/0.8 max(0.5,3) 2 0.6*2+0.4*0.5
80%
40
%
3 hours
Cycle time efficiency = 8.9 hours / 8.65 days = 12.9%
Exercise: Calculate CTE of the following
process
Flow analysis: scope and limitations
• Flow analysis for cycle time calculation
• Other applications:
• Calculating cost-per-process-instance
• Calculating error rates at the process level
• Estimating capacity requirements
• But it has its limitations…
Limitation 1: Not all Models are Structured
Limitation 2: Fixed arrival rate capacity
• Cycle time analysis does not consider:
• The rate at which new process instances are created (arrival rate)
• The number of available resources
• Higher arrival rate at fixed resource capacity
 high resource contention
 higher activity waiting times (longer queues)
 higher activity cycle time
 higher overall cycle time
• The slower you are, the more people have to queue up…
• and vice-versa
• WIP = (average) Work-In-Process
• Number of cases that are running (started but not yet completed)
• E.g. # of active and unfilled orders in an order-to-cash process
• WIP is a form of waste (cf. 7+1 sources of waste)
• Little’s Formula: WIP = ·CT
•  = arrival rate (number of new cases per time unit)
• CT = cycle time
Cycle Time & Work-In-Progress
Exercise
A fast-food restaurant receives on average 1200
customers per day (between 10:00 and 22:00). During
peak times (12:00-15:00 and 18:00-21:00), the restaurant
receives around 900 customers in total, and 90 customers
can be found in the restaurant (on average) at a given
point in time. At non-peak times, the restaurant receives
300 customers in total, and 30 customers can be found in
the restaurant (on average) at a given point in time.
1. What is the average time that a customer spends in the
restaurant during peak times?
2. What is the average time that a customer spends in the
restaurant during non-peak times?
Exercise (cont.)
3. The restaurant plans to launch a marketing campaign to attract more
customers. However, the restaurant’s capacity is limited and
becomes too full during peak times. What can the restaurant do to
address this issue without investing in extending its building?
Next week: queuing theory & simulation
35

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ITlecture5.pptx

  • 1. MTAT.03.231 Business Process Management Lecture 7 – Quantitative Process Analysis I Marlon Dumas marlon.dumas ät ut . ee 1
  • 2. Process Analysis Process identification Conformance and performance insights Conformance and performance insights Process monitoring and controlling Executable process model Executable process model Process implementation To-be process model To-be process model Process analysis As-is process model As-is process model Process discovery Process architecture Process architecture Process redesign Insights on weaknesses and their impact Insights on weaknesses and their impact
  • 3. Process Analysis Techniques Qualitative analysis • Value-Added & Waste Analysis • Root-Cause Analysis • Pareto Analysis • Issue Register Quantitative Analysis • Flow analysis • Queuing analysis • Simulation
  • 4. 1. Introduction 2. Process Identification 3. Essential Process Modeling 4. Advanced Process Modeling 5. Process Discovery 6. Qualitative Process Analysis 7. Quantitative Process Analysis 8. Process Redesign 9. Process Automation 10.Process Intelligence
  • 5. Process performance If you had to choose between two services, you would typically choose the one that is: • F… • C… • B…
  • 6. Process performance If you had to choose between two services, you would typically choose the one that is: • Faster • Cheaper • Better
  • 8. Processing time Waiting time Cycle time Time measures 8 Time taken by value-adding activities Time between start and completion of a process instance Time taken by non-value-adding activities
  • 10. Processing cost Cost of waste Per- Instance Cost Cost measures 10 Cost of value- adding activities Cost of a process instance Cost of non- value-adding activities
  • 11. Material cost •Cost of tangible or intangible resources used per process instance Resource cost •Cost of person-hours employed per process instance Typical components of cost 11
  • 12. Time spent per resource on process work Time available per resource for process work Resource utilization Resource utilization 12 Resource utilization = 60%  on average resources are idle 40% of their allocated time
  • 13. Resource utilization Waiting time Resource utilization vs. waiting time 13 Typically, when resource utilization > 90%  Waiting time increases steeply
  • 14. Product quality • Defect rate Delivery quality • On-time delivery rate • Cycle time variance Customer satisfaction • Customer feedback score Quality 14
  • 15. For each performance measure, define targets ST30 > 99% For each objective, identify variable(s) and aggregation method  performance measure Variable: customer served in < 30 min. Aggregation method: percentage Measure: ST30 = % of customers served in < 30 min. For each process, formulate process performance objectives Customer should be served always in a timely manner Identifying performance measures 15
  • 16. Financial Customer Internal business process Innovation & learning Balanced scorecard 16 Cost measures Quality & time measures Quality & time measures Technology leadership, Staff satisfaction
  • 17. Supply Chain Operations Reference Model (SCOR) • Performance measures for supply chain management processes American Productivity and Quality Council (APQC) • Performance measures and benchmarks for processes in the Process Classification Framework (PCF) IT Infrastructure Library (ITIL) • Performance measures for IT service management processes Process performance reference models 17
  • 18.
  • 20. Flow analysis of cycle time 20 1 day 1 day 3 days 3 days 1 day 2 days Cycle time = X days
  • 21. Sequence – Example 21 • What is the average cycle time? Cycle time = 10 + 20 = 30
  • 22. 50% 50% 90% 10% Cycle time = 10 + (20+10)/2 = 25 Cycle time = 10 + 0.9*20+0.1*10 = 29 Example: Alternative Paths • What is the average cycle time?
  • 23. Cycle time = 10 + 20 = 30 Example: Parallel paths • What is the average cycle time?
  • 24. • What is the average cycle time? Example: Rework loop 100% 0% Cycle time = 10 + 20 = 30 1% 99% Cycle time = 10 + 20/0.01 = 2010 80% 20% Cycle time = 10 + 20/0.8 = 35
  • 25. Flow analysis equations for cycle time CT = max(T1, T2,…, TN) CT = p1*T1+p2*T2+…+ pn*TN CT = T / (1-r) CT = T1+T2+…+ TN T r 1 - r T1 ... T2 TN T1 ... T2 TN p2 pn p1 T1 ... T2 TN
  • 26. Flow analysis of cycle time 26 1 day 1 day 3 days 3 days 1 day 2 days Cycle time = 1.25 + 3 + 3 + 1.4 = 8.65 days 20% 60% 1/0.8 max(1,3) 3 0.6*1+0.4*2 80% 40 %
  • 27. Flow analysis of processing time 27 2 hours 0.5 hour 2 hours 2 hours 0.5 mins. Processing time = 2.5 + 3 + 2 + 1.4 = 8.9 hours 20% 60% 2/0.8 max(0.5,3) 2 0.6*2+0.4*0.5 80% 40 % 3 hours Cycle time efficiency = 8.9 hours / 8.65 days = 12.9%
  • 28. Exercise: Calculate CTE of the following process
  • 29. Flow analysis: scope and limitations • Flow analysis for cycle time calculation • Other applications: • Calculating cost-per-process-instance • Calculating error rates at the process level • Estimating capacity requirements • But it has its limitations…
  • 30. Limitation 1: Not all Models are Structured
  • 31. Limitation 2: Fixed arrival rate capacity • Cycle time analysis does not consider: • The rate at which new process instances are created (arrival rate) • The number of available resources • Higher arrival rate at fixed resource capacity  high resource contention  higher activity waiting times (longer queues)  higher activity cycle time  higher overall cycle time • The slower you are, the more people have to queue up… • and vice-versa
  • 32. • WIP = (average) Work-In-Process • Number of cases that are running (started but not yet completed) • E.g. # of active and unfilled orders in an order-to-cash process • WIP is a form of waste (cf. 7+1 sources of waste) • Little’s Formula: WIP = ·CT •  = arrival rate (number of new cases per time unit) • CT = cycle time Cycle Time & Work-In-Progress
  • 33. Exercise A fast-food restaurant receives on average 1200 customers per day (between 10:00 and 22:00). During peak times (12:00-15:00 and 18:00-21:00), the restaurant receives around 900 customers in total, and 90 customers can be found in the restaurant (on average) at a given point in time. At non-peak times, the restaurant receives 300 customers in total, and 30 customers can be found in the restaurant (on average) at a given point in time. 1. What is the average time that a customer spends in the restaurant during peak times? 2. What is the average time that a customer spends in the restaurant during non-peak times?
  • 34. Exercise (cont.) 3. The restaurant plans to launch a marketing campaign to attract more customers. However, the restaurant’s capacity is limited and becomes too full during peak times. What can the restaurant do to address this issue without investing in extending its building?
  • 35. Next week: queuing theory & simulation 35