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Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the slides for the book : Dumas, La Rosa, Mendling & Reijers: Fundamentals of Business Process Management, Springer 2013 http://courses.cs.ut.ee/2013/bpm/uploads/Main/ITlecture5.ppt

Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

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Page 1: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Business Process Management

Paolo Bottoni

Lecture 8: Quantitative Analysis

Adapted from the slides for the book :

Dumas, La Rosa, Mendling & Reijers: Fundamentals of Business Process Management, Springer 2013

http://courses.cs.ut.ee/2013/bpm/uploads/Main/ITlecture5.ppt

Page 2: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Business Process Analysis

Lecture8QuantitativeBusiness Process Management 2

Page 3: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Process Analysis Techniques

Qualitative analysisQualitative analysis

• Value-Added Analysis

• Root-Cause Analysis

• Pareto Analysis

• Issue Register

Quantitative AnalysisQuantitative Analysis

• Quantitative Flow Analysis

• Queuing Theory

• Process Simulation

Lecture8QuantitativeBusiness Process Management 3

Page 4: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Process Performance Measures

• Link the identified processes to measurable objectives

• Quantify the benefits of improvement

Maximize revenues and

minimize costsUse resources efficiently while

satisfying customer needs

Satisfy customer needs (effectiveness)

in an efficient way (efficiency)

Profit maximizing firms Non-profit organizations

Maximize long term

shareholder value

Survive and grow

while satisfying customer needs

Inspired by a slide by Manuel Laguna & John Marklund

Lecture8QuantitativeBusiness Process Management 4

Page 5: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Fill in the blanks

If you had to choose between two services,

you would typically choose the one that is:

• F…

• B…

• C…

Lecture8QuantitativeBusiness Process Management 5

Page 6: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Process Performance Measures

6

Cost per execution

Resource utilization

Waste

CostCost

Cycle time

Waiting time / time spent in non-value-added tasks

TimeTime

Error rates (negative outcomes, wrong info)

Missed promise

QualityQuality

Lecture8QuantitativeBusiness Process Management

Page 7: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Cycle Time Analysis

• Cycle time: Difference between a job’s start and end time

• Cycle time analysis: the task of calculating the average

cycle time for an entire process or process fragment

– Assumes that the average activity times for all involved activities

are available (activity time = waiting time + processing time)

• In the simplest case a process consists of a sequence of

activities on a sequential path

– The average cycle time is the sum of the average activity times

• … but in general we must be able to account for

– Alternative paths (XOR splits)

– Parallel paths (AND splits)

– Rework (cycles)

Lecture8QuantitativeBusiness Process Management 7

Page 8: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Alternative Paths

CT = p1T1+p2T2+…+pnTn =

piTii1

n

Inspired by a slide by Manuel Laguna & John MarklundLecture8QuantitativeBusiness Process Management 8

Page 9: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Alternative Paths – Example

• What is the average cycle time?

Lecture8QuantitativeBusiness Process Management 9

Page 10: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

• If two activities related to the same job are done in

parallel the contribution to the cycle time for the job is

the maximum of the two activity times.

Parallel Paths

CTparallel = Max{T1, T2,…, TM}

Inspired by a slide by Manuel Laguna & John Marklund

Lecture8QuantitativeBusiness Process Management 10

Page 11: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Parallel Paths – Example

• What is the average cycle time?

Lecture8QuantitativeBusiness Process Management 11

Page 12: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

• Many processes include control or inspection points

where if the job does not meet certain standard, it is

sent back for rework

Rework

CT = T/(1-r)

Lecture8QuantitativeBusiness Process Management 12

Page 13: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Rework – Example

• What is the average cycle time?

Lecture8QuantitativeBusiness Process Management 13

Page 14: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Rework At Most Once – Example

• What is the average cycle time?

Lecture8QuantitativeBusiness Process Management 14

Page 15: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Quick exercise

Calculate cycle time

Lecture8QuantitativeBusiness Process Management 15

Page 16: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

• Measured as the percentage of the total cycle time spent on value adding activities.

• CT = cycle time as defined before

• Theoretical Cycle Time (TCT) is the cycle time if we

only counted value-adding activities and excluded

any waiting time or handover time

– Count only processing times

Cycle Time Efficiency

Cycle Time Efficiency = CT

TimeCyclelTheoretica

Inspired by a slide by Manuel Laguna & John Marklund

Lecture8QuantitativeBusiness Process Management 16

Page 17: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Flow Analysis

• The previous technique for cycle time analysis is

only one example of what can be done using

flow analysis techniques

• Other applications:

– Calculating cost-per-process-instance

– Calculating error rates at the process level

– Estimating capacity requirements

Lecture8QuantitativeBusiness Process Management 17

Page 18: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Limitation 1: Not all Models are Structured

Start End

Check for completeness

Perform checks Make decision

Deliver card

Receive review

request

Request infoReceive info

Notify acceptance

Notify rejection Time out

complete? Decide

review request

Yes

No

reject

reviiew

accept

0.5

0.7

0.3

0.5

0.2

0.8

Lecture8QuantitativeBusiness Process Management 18

Page 19: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

Limitation 2: Fixed load + fixed resource

capacity

• Cycle time analysis does not consider waiting times

due to resource contention

• Queuing analysis and simulation address these

limitations and have a broader applicability

Lecture8QuantitativeBusiness Process Management 19

Page 20: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

• 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

Lecture8QuantitativeBusiness Process Management 20

Page 21: Business Process Managementtwiki.di.uniroma1.it/pub/BI/WebHome/Lesson8Quantitative.pdf · Business Process Management Paolo Bottoni Lecture 8: Quantitative Analysis Adapted from the

ExerciseA 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?

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?Lecture8QuantitativeBusiness Process Management 21