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Process mining explained by an example
The logistics process at SmartCoat Inc.
SmartCoat
Episode 3 (out of 8): process deviations
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
2
Whats on this week?
Process deviations
Ep. 3: process deviations
3
What preceded
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
4
What preceded
Marie, CEO of SmartCoat Inc., asked us to analyze and make
recommendations for the logistics process via process mining and data
analytics techniques ... Just by looking at the data in SmartCoats ERP
system!
In the previous episode, the logistics process of her company has been
discovered and visualized. The most frequent paths (variants) have been
discussed.
Have you missed the second episode? Click on Marie and you will be
redirected to the second episode!
Ep. 3: process deviations
5
Process deviations
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
6
C辿dric, your horsum guide
Hi, good to see youre back!
In the first episode, Marie told us about some SmartCoat checks
and tests she requires to be executed in this logistics process.
In this episode, I will verify if these checks and tests have been
performed correctly. I will also give Marie some feedback.
I will perform the process mining analyses in this episode with the
process mining software Disco.
C辿dric
Consultant
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
7
Checks and tests
Do you remember what checks and tests Marie told us about?
No? Let me help you
1. All smartphones need to be checked upon arrival to verify if they
are both fully operational and not damaged.
2. All coated smartphones need to be tested. For the smartphones of
customer Wallsmart, an additional third test is required.
3. In case a smartphone fails for a test, scrapping should be proposed
and evaluated by Marie.
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
8
Checks and tests
In the following slides, I will analyze whether the right
checks and tests have been correctly executed.
Oh yeah Do you want to perform these analyses
yourself? Please find the event log below:
RECEIVE
CHECK
STORE UNCOATED
PICK-TO-COAT
COAT
TEST
STORE COATED
SHIP
PICK-TO-SHIP
Event log
SmartCoat Inc.
Ep. 3: process deviations
9
Analysis
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
10
1. All smartphones need to be checked upon arrival
On the right, I see that 35 uncoated smartphones
are received. Five of them are not checked at all:
they are immediately stored ... On the next slide, I
will further analyze who forgot to perform these
checks.
Analysis | Examine whether all smartphones are checked twice upon arrival: operation check and damage check.
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
11
1. All smartphones need to be checked upon arrival
In the table on the right, I
see that Arthur did not
perform the required
checks. I think we should
talk to him 
Case ID Resource Function Brand Customer
Phone 3654 Arthur Warehouse assistant Simsong Callhouse
Phone 3661 Arthur Warehouse assistant Simsong Callhouse
Phone 3662 Arthur Warehouse assistant MePhone Callhouse
Phone 3667 Arthur Warehouse assistant MePhone Wallsmart
Phone 3670 Arthur Warehouse assistant MePhone Callhouse
Arthur
Warehouse
assistant
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
12
2. All coated smartphones need to be tested
Analysis | Examine whether all coated smartphones have been tested twice: test 1 and
test 2. Next, examine whether test 3 has been performed for all coated smartphones of
customer Wallsmart.
First of all, Im analyzing whether test 1 and test 2
are performed before the smartphones are shipped 
This is what we should be sure about  No shipments
with lacking tests! That is why I only select
smartphones who passed activity ship coated. On the
right, I see that 27 smartphones are shipped. After
some investigation, I conclude that test 1 and test 2
are done for all shipped smartphones. I also see this on
the process map: test 1 is performed 27 times and
test 2 even 28 times. Does the latter mean that test
2 has been done twice for a smartphone? Indeed,
after further investigation, we note that Phone 3666 is
tested twice.
I also note that test 3 is executed 8 times. I wonder
whether these smartphones are related to Wallsmart
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
13
2. All coated smartphones need to be tested
To analyze this, I only select the shipped Wallsmart
smartphones in the process mining software  I see that 8
smartphones are shipped. I also see that test 3 has been
performed 8 times  So far so good  But it is strange that
there is one arrow that starts at test 1 and directly goes to
activity ship coated. Does this mean that test 3 was not
performed? Lets examine
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
14
2. All coated smartphones need to be tested
On the right, the path of this particular smartphone is
shown. I note that test 3 is performed, although not in
the order I expected  Lets ask Marie for the reason of
the unusual flow and whether a specific order is
required.
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
15
3. Failed tests result in proposals to scrap
Analysis | Examine whether proposed scrapping is evaluated by Marie in case a smartphone fails for a test.
In the process map, we see that 6 smartphones are
proposed to be scrapped: 4 after test 1 and 2 after test 2.
We also note that all 6 proposals have been evaluated. One
of them is stored again. This indicates that the proposal was
refused. In the event log, we see that all proposed scraps
are evaluated by Marie. Good job!
Ep. 3: process deviations
16
Feedback to Marie
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
17
Feedback Hi Marie, I have analyzed whether all inbound checks and coating
tests are performed. I have discovered some irregularities. Lets run
through them 
Arthur, the warehouse assistant, has not always performed the
required inbound controls. Lets talk to him  Maybe he has good
reasons for it. Nevertheless, I suggest to have a short meeting with the
warehouse team and to stress the importance of the inbound
controls.
Based on the process mining analyses, I also noted that the required
tests are done after coating. Sometimes, they are not always done in
the order I expected. I found a case for which test 2 was done before
test 1. Does it matter? Is there a specific reason for it? I also found a
case for which test 2 was done twice.
I also checked whether smartphones are sometimes scrapped without
your evaluation  Well, based on my analysis performed, you have
evaluated each scrapped smartphone. Good job!
Ep. 3: process deviations
18
Do you also want to know how and what process
improvement opportunities C辿dric will identify via
benchmarking through process mining ?
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
19www.horsum.be
Watch the episode next week!
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
20
Planning
April 7th, 2016
April 14th, 2016
April 21st, 2016
April 28th, 2016
May 5th, 2016
May 12th, 2016
May 19th, 2016
May 26th, 2016
Episode 1: introduction
Episode 2: process discovery
Episode 3: process deviations
Episode 4: benchmarking
Episode 5: bottlenecks
Episode 6: interactions
Episode 7: process costs
Episode 8: prediction and real-time
www.horsum.be
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
21
www.horsum.beOr check our website!
www.horsum.be
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
22
Contact us!Questions?
www.horsum.be
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
23
Contact us!
Dennis Houthoofd Frederik Vervoort
T: +32 488 90 41 40
E: dennis.houthoofd@horsum.be
T: +32 473 91 05 80
E: frederik.vervoort@horsum.be
www.horsum.be
process mining explained by an example
息 2016 horsum
Ep. 3: process deviations
24
horsum services
Data analyticsFinancial projectsProcess optimization Process miningInternal audit
Processes, data, finance and business control
Result-driven, pragmatically and customized
www.horsum.be
Process mining explained by an example | Episode 3: process deviations

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Process mining explained by an example | Episode 3: process deviations

  • 1. Process mining explained by an example The logistics process at SmartCoat Inc. SmartCoat Episode 3 (out of 8): process deviations
  • 2. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 2 Whats on this week? Process deviations
  • 3. Ep. 3: process deviations 3 What preceded
  • 4. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 4 What preceded Marie, CEO of SmartCoat Inc., asked us to analyze and make recommendations for the logistics process via process mining and data analytics techniques ... Just by looking at the data in SmartCoats ERP system! In the previous episode, the logistics process of her company has been discovered and visualized. The most frequent paths (variants) have been discussed. Have you missed the second episode? Click on Marie and you will be redirected to the second episode!
  • 5. Ep. 3: process deviations 5 Process deviations
  • 6. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 6 C辿dric, your horsum guide Hi, good to see youre back! In the first episode, Marie told us about some SmartCoat checks and tests she requires to be executed in this logistics process. In this episode, I will verify if these checks and tests have been performed correctly. I will also give Marie some feedback. I will perform the process mining analyses in this episode with the process mining software Disco. C辿dric Consultant
  • 7. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 7 Checks and tests Do you remember what checks and tests Marie told us about? No? Let me help you 1. All smartphones need to be checked upon arrival to verify if they are both fully operational and not damaged. 2. All coated smartphones need to be tested. For the smartphones of customer Wallsmart, an additional third test is required. 3. In case a smartphone fails for a test, scrapping should be proposed and evaluated by Marie.
  • 8. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 8 Checks and tests In the following slides, I will analyze whether the right checks and tests have been correctly executed. Oh yeah Do you want to perform these analyses yourself? Please find the event log below: RECEIVE CHECK STORE UNCOATED PICK-TO-COAT COAT TEST STORE COATED SHIP PICK-TO-SHIP Event log SmartCoat Inc.
  • 9. Ep. 3: process deviations 9 Analysis
  • 10. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 10 1. All smartphones need to be checked upon arrival On the right, I see that 35 uncoated smartphones are received. Five of them are not checked at all: they are immediately stored ... On the next slide, I will further analyze who forgot to perform these checks. Analysis | Examine whether all smartphones are checked twice upon arrival: operation check and damage check.
  • 11. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 11 1. All smartphones need to be checked upon arrival In the table on the right, I see that Arthur did not perform the required checks. I think we should talk to him Case ID Resource Function Brand Customer Phone 3654 Arthur Warehouse assistant Simsong Callhouse Phone 3661 Arthur Warehouse assistant Simsong Callhouse Phone 3662 Arthur Warehouse assistant MePhone Callhouse Phone 3667 Arthur Warehouse assistant MePhone Wallsmart Phone 3670 Arthur Warehouse assistant MePhone Callhouse Arthur Warehouse assistant
  • 12. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 12 2. All coated smartphones need to be tested Analysis | Examine whether all coated smartphones have been tested twice: test 1 and test 2. Next, examine whether test 3 has been performed for all coated smartphones of customer Wallsmart. First of all, Im analyzing whether test 1 and test 2 are performed before the smartphones are shipped This is what we should be sure about No shipments with lacking tests! That is why I only select smartphones who passed activity ship coated. On the right, I see that 27 smartphones are shipped. After some investigation, I conclude that test 1 and test 2 are done for all shipped smartphones. I also see this on the process map: test 1 is performed 27 times and test 2 even 28 times. Does the latter mean that test 2 has been done twice for a smartphone? Indeed, after further investigation, we note that Phone 3666 is tested twice. I also note that test 3 is executed 8 times. I wonder whether these smartphones are related to Wallsmart
  • 13. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 13 2. All coated smartphones need to be tested To analyze this, I only select the shipped Wallsmart smartphones in the process mining software I see that 8 smartphones are shipped. I also see that test 3 has been performed 8 times So far so good But it is strange that there is one arrow that starts at test 1 and directly goes to activity ship coated. Does this mean that test 3 was not performed? Lets examine
  • 14. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 14 2. All coated smartphones need to be tested On the right, the path of this particular smartphone is shown. I note that test 3 is performed, although not in the order I expected Lets ask Marie for the reason of the unusual flow and whether a specific order is required.
  • 15. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 15 3. Failed tests result in proposals to scrap Analysis | Examine whether proposed scrapping is evaluated by Marie in case a smartphone fails for a test. In the process map, we see that 6 smartphones are proposed to be scrapped: 4 after test 1 and 2 after test 2. We also note that all 6 proposals have been evaluated. One of them is stored again. This indicates that the proposal was refused. In the event log, we see that all proposed scraps are evaluated by Marie. Good job!
  • 16. Ep. 3: process deviations 16 Feedback to Marie
  • 17. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 17 Feedback Hi Marie, I have analyzed whether all inbound checks and coating tests are performed. I have discovered some irregularities. Lets run through them Arthur, the warehouse assistant, has not always performed the required inbound controls. Lets talk to him Maybe he has good reasons for it. Nevertheless, I suggest to have a short meeting with the warehouse team and to stress the importance of the inbound controls. Based on the process mining analyses, I also noted that the required tests are done after coating. Sometimes, they are not always done in the order I expected. I found a case for which test 2 was done before test 1. Does it matter? Is there a specific reason for it? I also found a case for which test 2 was done twice. I also checked whether smartphones are sometimes scrapped without your evaluation Well, based on my analysis performed, you have evaluated each scrapped smartphone. Good job!
  • 18. Ep. 3: process deviations 18 Do you also want to know how and what process improvement opportunities C辿dric will identify via benchmarking through process mining ?
  • 19. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 19www.horsum.be Watch the episode next week!
  • 20. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 20 Planning April 7th, 2016 April 14th, 2016 April 21st, 2016 April 28th, 2016 May 5th, 2016 May 12th, 2016 May 19th, 2016 May 26th, 2016 Episode 1: introduction Episode 2: process discovery Episode 3: process deviations Episode 4: benchmarking Episode 5: bottlenecks Episode 6: interactions Episode 7: process costs Episode 8: prediction and real-time www.horsum.be
  • 21. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 21 www.horsum.beOr check our website! www.horsum.be
  • 22. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 22 Contact us!Questions? www.horsum.be
  • 23. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 23 Contact us! Dennis Houthoofd Frederik Vervoort T: +32 488 90 41 40 E: dennis.houthoofd@horsum.be T: +32 473 91 05 80 E: frederik.vervoort@horsum.be www.horsum.be
  • 24. process mining explained by an example 息 2016 horsum Ep. 3: process deviations 24 horsum services Data analyticsFinancial projectsProcess optimization Process miningInternal audit Processes, data, finance and business control Result-driven, pragmatically and customized www.horsum.be