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Process mining explained by an example
The logistics process at SmartCoat Inc.
SmartCoat
Episode 2 (out of 8): process discovery
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
2
What’s on this week?
Process discovery
Ep. 2: process discovery
3
What preceded…
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
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 SmartCoat’s ERP
system!
In the previous episode, Marie shortly portrayed her company and gave
more information about the logistics process at SmartCoat Inc.
Have you missed the first episode? Click on Marie… and you will be
redirected to the first episode!
Ep. 2: process discovery
5
Cédric, your horsum guide
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
6
Cédric, your horsum guide
Hi, I am Cédric. I am a consultant at horsum!
I will guide you through the next episodes of the
SmartCoat case.
In this episode, I will explain you more about the event
log I have created out of SmartCoat’s ERP data. I will also
show you the real logistics process I have discovered via
process mining.
Cédric
Consultant
Ep. 2: process discovery
7
Event log
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
8
Event log
In the ERP system, I selected all uncoated smartphones that
were received during the first half of March 2016.
35 smartphones have been received in that period. They all
have a unique serial number: phone 3651, phone 3652, …
up until phone 3685.
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
9
Event log
I would like to follow the journey of these smartphones
throughout the logistics process. I would like to know what
exactly happened with these smartphones!
RECEIVE
CHECK
STORE UNCOATED
PICK-TO-COAT
COAT
TEST
STORE COATED
SHIP
PICK-TO-SHIP
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
10
Event log
I managed to compile an event log out of the data stored in
SmartCoat’s ERP system.
You can find my event log in Excel over here:
Event log
SmartCoat Inc.
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
11
Event log
Let’s have a look at the event log in detail. What happened with smartphone 3651 for
example? Below we see a part of the event log: the journey of Phone 3651 throughout
the logistics process. We identify what type of activities were performed, when the
activities were performed, by whom and where.
Case ID Activity description Timestamp Resource Location
Phone 3651 RECEIVE UNCOATED 2/03/2016 8:10 Arthur INBOUND AREA
Phone 3651 CHECK OPERATION 2/03/2016 9:13 Arthur INBOUND AREA
Phone 3651 CHECK DAMAGE 2/03/2016 9:25 Arthur INBOUND AREA
Phone 3651 STORE UNCOATED 2/03/2016 10:08 Arthur WAREHOUSE UNCOATED
Phone 3651 PICK-TO-COAT 15/03/2016 10:51 Jerome WAREHOUSE UNCOATED
Phone 3651 START COATING 16/03/2016 15:14 Alix COATING ROOM
Phone 3651 STOP COATING 16/03/2016 15:34 Alix COATING ROOM
Phone 3651 TEST 1 17/03/2016 16:34 Edward TESTING ROOM
Phone 3651 TEST 2 18/03/2016 10:34 Edward TESTING ROOM
Phone 3651 TEST 3 18/03/2016 14:34 Edward TESTING ROOM
Phone 3651 STORE COATED 18/03/2016 16:04 Jerome WAREHOUSE COATED
Phone 3651 PICK-TO-SHIP 24/03/2016 9:33 Jerome WAREHOUSE COATED
Phone 3651 SHIP COATED 24/03/2016 15:33 Jerome OUTBOUND AREA
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
12
Event log
I also identified the following information in the ERP system:
- The related smartphone brand;
- The related retailer;
- The function of the resource;
- The cost of the activity.
For richer analysis purposes, I have included this information in the event log too.
Activity description Estimated cost price
RECEIVE UNCOATED € 0,50 per activity
CHECK OPERATION € 2,00 per activity
CHECK DAMAGE € 0,50 per activity
RETURN € 0,50 per activity
STORE UNCOATED € 0,10 per phone per 24 h
PICK-TO-COAT € 0,10 per activity
COATING € 20,00 per hour
TEST 1 € 0,75 per activity
TEST 2 € 0,25 per activity
TEST 3 € 2,50 per activity
PROPOSE SCRAPPING € 0,05 per activity
EVALUATE SCRAPPING € 0,05 per activity
STORE COATED € 0,10 per phone per 24 h
PICK-TO-SHIP € 0,10 per activity
SHIP COATED € 0,50 per activity
Brand
MePhone
Simsong
Customer (retailer)
Wallsmart
Callhouse
Phonemarket
ArthurTomAlix Elise JeromeEdward
Warehouse
assistant
Coater Test engineerTest engineer Warehouse
manager
Warehouse
assistant
Ep. 2: process discovery
13
Process discovery
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
14
Process discovery
It is now time to discover the real journeys of the smartphones
throughout the logistics process.
I upload the event log in the process mining software Disco.
Thanks to Disco, we are able to immediately visualize the real
journeys of the 35 smartphones.
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
15
Process discovery
Real process map - 35 smart phones
The visual of the real process map is shown on the right. Is this visual
too small for you? Then click on the PDF icon to zoom in on the
visual.
We immediately notice that the logistics process starts with 35
smartphones and that only 27 smartphones are finally shipped to
the retailer. What about the other 8 smartphones?
We also instantly see that the real process is not that linear, which
means that the journeys are not always similar for all smartphones…
Let’s further investigate the event log!
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
16
Process discovery
There are 35 cases:
• Every case represents a unique smartphone;
• 16 activities are discovered in the logistics process. These activities
are shown as blue boxes in the process map.
• There are 393 events in total. They represent the number of
activities in total that are executed by the 35 smartphones.
The first activity was performed on March 2nd, the last one on March
31st. On average, the journey of a smartphone took 17 days.
There are 18 variants. This means that amongst all 35 smartphone
journeys, 18 different paths were followed. I wonder whether one
path occurs more frequent than the others. Let’s investigate…
Event log analysis
Number of cases 35
Number of activities 16
Number of events 393
Start 02.03.2016 08:10:00
End 31.03.2016 15:33:57
Median case duration 17 d
Mean case duration 16,5 d
Number of variants 18
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
17
Process discovery
Top 3 variants Cases Events Median duration Mean duration
Variant 1 8 12 16 days, 18 hours 16 days, 22 hours
Variant 2 5 13 19 days, 5 hours 18 days, 20 hours
Variant 3 4 12 14 days, 17 hours 15 days, 4 hours
Total 17
Real process map - top 3 variants
Above we see that the 3 most frequent paths
(variants) are followed by 17 smartphones. Put
differently, these 3 paths cover 48,6% of all 35
smartphone journeys.
On the right, we see a visual of the process map
of these 3 most frequent paths. I’m zooming in
on two parts of the process on the next slides.
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
18
Process discovery
In the first episode, Marie told us that all received uncoated
smartphones need to be checked before storage.
On the left, we see that the 17 smartphones (following the
most frequents paths) are checked. There are apparently two
types of checks that need to be done: “check operation” and
“check damage”. We see that for 9 smartphones the “check
operation” activity is done prior to the “check damage”
activity. The other 8 smartphones are checked in reverse
order. I wonder whether there are guidelines on the sequence
of the checks.
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
19
Process discovery
Coated smartphones need to be tested before storage. The process
map on the right shows that “test 1” and “test 2” are done for all 17
smartphones. “Test 3” is only performed for 5 smartphones.
Marie told us that customer Wallsmart requires an additional test. It
is very probable that the 5 smartphones are Wallsmart phones.
Let’s check… and indeed… they concern Phone 3651, 3562, 3600,
3669 and 3675… they are all Wallsmart phones!
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
20
Process discovery
The process mining software Disco also allows us to visualize the
performance. For instance, we can check the mean time
between two activities or the minimum time a certain case took.
Marie told us that, once a smartphone is coated, a cooldown
period of 24 hours is required before the tests can start. On the
right, we can see that the average time between “stop coating”
and “test 1” for the 17 phones takes on average 41,5 hours. For
one case, it only took 18,5 hours (minimum time). So, the
cooldown period was not respected for that case.
Let’s further analyze this in episode 3: process deviations.
Do you come along?
Ep. 2: process discovery
21
Do you also want to know how and what process
deviations Cédric will identify via process mining
and data analytics techniques?
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
22www.horsum.be
Watch the episode next week!
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
23
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
© 2016 horsum
Ep. 2: process discovery
24
www.horsum.beOr check our website!
www.horsum.be
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
25
Contact us!Questions?
www.horsum.be
process mining explained by an example
© 2016 horsum
Ep. 2: process discovery
26
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
© 2016 horsum
Ep. 2: process discovery
27
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 2: process discovery

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Process mining explained by an example | Episode 2: process discovery

  • 1. Process mining explained by an example The logistics process at SmartCoat Inc. SmartCoat Episode 2 (out of 8): process discovery
  • 2. process mining explained by an example © 2016 horsum Ep. 2: process discovery 2 What’s on this week? Process discovery
  • 3. Ep. 2: process discovery 3 What preceded…
  • 4. process mining explained by an example © 2016 horsum Ep. 2: process discovery 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 SmartCoat’s ERP system! In the previous episode, Marie shortly portrayed her company and gave more information about the logistics process at SmartCoat Inc. Have you missed the first episode? Click on Marie… and you will be redirected to the first episode!
  • 5. Ep. 2: process discovery 5 Cédric, your horsum guide
  • 6. process mining explained by an example © 2016 horsum Ep. 2: process discovery 6 Cédric, your horsum guide Hi, I am Cédric. I am a consultant at horsum! I will guide you through the next episodes of the SmartCoat case. In this episode, I will explain you more about the event log I have created out of SmartCoat’s ERP data. I will also show you the real logistics process I have discovered via process mining. Cédric Consultant
  • 7. Ep. 2: process discovery 7 Event log
  • 8. process mining explained by an example © 2016 horsum Ep. 2: process discovery 8 Event log In the ERP system, I selected all uncoated smartphones that were received during the first half of March 2016. 35 smartphones have been received in that period. They all have a unique serial number: phone 3651, phone 3652, … up until phone 3685.
  • 9. process mining explained by an example © 2016 horsum Ep. 2: process discovery 9 Event log I would like to follow the journey of these smartphones throughout the logistics process. I would like to know what exactly happened with these smartphones! RECEIVE CHECK STORE UNCOATED PICK-TO-COAT COAT TEST STORE COATED SHIP PICK-TO-SHIP
  • 10. process mining explained by an example © 2016 horsum Ep. 2: process discovery 10 Event log I managed to compile an event log out of the data stored in SmartCoat’s ERP system. You can find my event log in Excel over here: Event log SmartCoat Inc.
  • 11. process mining explained by an example © 2016 horsum Ep. 2: process discovery 11 Event log Let’s have a look at the event log in detail. What happened with smartphone 3651 for example? Below we see a part of the event log: the journey of Phone 3651 throughout the logistics process. We identify what type of activities were performed, when the activities were performed, by whom and where. Case ID Activity description Timestamp Resource Location Phone 3651 RECEIVE UNCOATED 2/03/2016 8:10 Arthur INBOUND AREA Phone 3651 CHECK OPERATION 2/03/2016 9:13 Arthur INBOUND AREA Phone 3651 CHECK DAMAGE 2/03/2016 9:25 Arthur INBOUND AREA Phone 3651 STORE UNCOATED 2/03/2016 10:08 Arthur WAREHOUSE UNCOATED Phone 3651 PICK-TO-COAT 15/03/2016 10:51 Jerome WAREHOUSE UNCOATED Phone 3651 START COATING 16/03/2016 15:14 Alix COATING ROOM Phone 3651 STOP COATING 16/03/2016 15:34 Alix COATING ROOM Phone 3651 TEST 1 17/03/2016 16:34 Edward TESTING ROOM Phone 3651 TEST 2 18/03/2016 10:34 Edward TESTING ROOM Phone 3651 TEST 3 18/03/2016 14:34 Edward TESTING ROOM Phone 3651 STORE COATED 18/03/2016 16:04 Jerome WAREHOUSE COATED Phone 3651 PICK-TO-SHIP 24/03/2016 9:33 Jerome WAREHOUSE COATED Phone 3651 SHIP COATED 24/03/2016 15:33 Jerome OUTBOUND AREA
  • 12. process mining explained by an example © 2016 horsum Ep. 2: process discovery 12 Event log I also identified the following information in the ERP system: - The related smartphone brand; - The related retailer; - The function of the resource; - The cost of the activity. For richer analysis purposes, I have included this information in the event log too. Activity description Estimated cost price RECEIVE UNCOATED € 0,50 per activity CHECK OPERATION € 2,00 per activity CHECK DAMAGE € 0,50 per activity RETURN € 0,50 per activity STORE UNCOATED € 0,10 per phone per 24 h PICK-TO-COAT € 0,10 per activity COATING € 20,00 per hour TEST 1 € 0,75 per activity TEST 2 € 0,25 per activity TEST 3 € 2,50 per activity PROPOSE SCRAPPING € 0,05 per activity EVALUATE SCRAPPING € 0,05 per activity STORE COATED € 0,10 per phone per 24 h PICK-TO-SHIP € 0,10 per activity SHIP COATED € 0,50 per activity Brand MePhone Simsong Customer (retailer) Wallsmart Callhouse Phonemarket ArthurTomAlix Elise JeromeEdward Warehouse assistant Coater Test engineerTest engineer Warehouse manager Warehouse assistant
  • 13. Ep. 2: process discovery 13 Process discovery
  • 14. process mining explained by an example © 2016 horsum Ep. 2: process discovery 14 Process discovery It is now time to discover the real journeys of the smartphones throughout the logistics process. I upload the event log in the process mining software Disco. Thanks to Disco, we are able to immediately visualize the real journeys of the 35 smartphones.
  • 15. process mining explained by an example © 2016 horsum Ep. 2: process discovery 15 Process discovery Real process map - 35 smart phones The visual of the real process map is shown on the right. Is this visual too small for you? Then click on the PDF icon to zoom in on the visual. We immediately notice that the logistics process starts with 35 smartphones and that only 27 smartphones are finally shipped to the retailer. What about the other 8 smartphones? We also instantly see that the real process is not that linear, which means that the journeys are not always similar for all smartphones… Let’s further investigate the event log!
  • 16. process mining explained by an example © 2016 horsum Ep. 2: process discovery 16 Process discovery There are 35 cases: • Every case represents a unique smartphone; • 16 activities are discovered in the logistics process. These activities are shown as blue boxes in the process map. • There are 393 events in total. They represent the number of activities in total that are executed by the 35 smartphones. The first activity was performed on March 2nd, the last one on March 31st. On average, the journey of a smartphone took 17 days. There are 18 variants. This means that amongst all 35 smartphone journeys, 18 different paths were followed. I wonder whether one path occurs more frequent than the others. Let’s investigate… Event log analysis Number of cases 35 Number of activities 16 Number of events 393 Start 02.03.2016 08:10:00 End 31.03.2016 15:33:57 Median case duration 17 d Mean case duration 16,5 d Number of variants 18
  • 17. process mining explained by an example © 2016 horsum Ep. 2: process discovery 17 Process discovery Top 3 variants Cases Events Median duration Mean duration Variant 1 8 12 16 days, 18 hours 16 days, 22 hours Variant 2 5 13 19 days, 5 hours 18 days, 20 hours Variant 3 4 12 14 days, 17 hours 15 days, 4 hours Total 17 Real process map - top 3 variants Above we see that the 3 most frequent paths (variants) are followed by 17 smartphones. Put differently, these 3 paths cover 48,6% of all 35 smartphone journeys. On the right, we see a visual of the process map of these 3 most frequent paths. I’m zooming in on two parts of the process on the next slides.
  • 18. process mining explained by an example © 2016 horsum Ep. 2: process discovery 18 Process discovery In the first episode, Marie told us that all received uncoated smartphones need to be checked before storage. On the left, we see that the 17 smartphones (following the most frequents paths) are checked. There are apparently two types of checks that need to be done: “check operation” and “check damage”. We see that for 9 smartphones the “check operation” activity is done prior to the “check damage” activity. The other 8 smartphones are checked in reverse order. I wonder whether there are guidelines on the sequence of the checks.
  • 19. process mining explained by an example © 2016 horsum Ep. 2: process discovery 19 Process discovery Coated smartphones need to be tested before storage. The process map on the right shows that “test 1” and “test 2” are done for all 17 smartphones. “Test 3” is only performed for 5 smartphones. Marie told us that customer Wallsmart requires an additional test. It is very probable that the 5 smartphones are Wallsmart phones. Let’s check… and indeed… they concern Phone 3651, 3562, 3600, 3669 and 3675… they are all Wallsmart phones!
  • 20. process mining explained by an example © 2016 horsum Ep. 2: process discovery 20 Process discovery The process mining software Disco also allows us to visualize the performance. For instance, we can check the mean time between two activities or the minimum time a certain case took. Marie told us that, once a smartphone is coated, a cooldown period of 24 hours is required before the tests can start. On the right, we can see that the average time between “stop coating” and “test 1” for the 17 phones takes on average 41,5 hours. For one case, it only took 18,5 hours (minimum time). So, the cooldown period was not respected for that case. Let’s further analyze this in episode 3: process deviations. Do you come along?
  • 21. Ep. 2: process discovery 21 Do you also want to know how and what process deviations Cédric will identify via process mining and data analytics techniques?
  • 22. process mining explained by an example © 2016 horsum Ep. 2: process discovery 22www.horsum.be Watch the episode next week!
  • 23. process mining explained by an example © 2016 horsum Ep. 2: process discovery 23 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
  • 24. process mining explained by an example © 2016 horsum Ep. 2: process discovery 24 www.horsum.beOr check our website! www.horsum.be
  • 25. process mining explained by an example © 2016 horsum Ep. 2: process discovery 25 Contact us!Questions? www.horsum.be
  • 26. process mining explained by an example © 2016 horsum Ep. 2: process discovery 26 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
  • 27. process mining explained by an example © 2016 horsum Ep. 2: process discovery 27 horsum services Data analyticsFinancial projectsProcess optimization Process miningInternal audit Processes, data, finance and business control Result-driven, pragmatically and customized www.horsum.be