Process Mining The influence of big data (and the internet of things) on the supply chain
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1 September 16, 2015 Process Mining The influence of big data (and the internet of things) on the supply chain Wil van der Aalst
2 My personal view: 1. Unprecedented amounts of data about machines, products, people, organizations, 2. The ability to analyze such data (scale, types of analysis, visualization, )
3 My personal view: 1. Unprecedented amounts of data about machines, products, people, organizations, 2. The ability to analyze such data (scale, types of analysis, visualization, ) Supply Chain 4.0?
4 1) Data: Internet of Events Internet of Content Internet of People Internet of Things Internet of Places Big Data social cloud mobility Internet of Events
5 2) Data Science: Generating value from data statistics data mining machine learning process mining stochastics databases algorithms data science large scale distributed computing industrial engineering visualization visual analytics behavioral/ social sciences privacy domain knowledge Spectacular progress in: Analytics (various types of mining) Databases (NoSQL, In-Memory) Distribution (MapReduce, Hadoop) New discipline that is here to stay!
6 A new discipline mathematics
7 A new discipline mathematics
8 data science A new discipline mathematics computer science
9
10 DSC/e: Competences and Research Programs 28 groups involved systems Enabling technologies: How to get the data and deal with computational/ [RP7] Smart Grids: infrastructural challenges Data (big Intensive data Infrastructures and hard questions)? Internet of Things infrastructures Large-Scale Distributed Systems Data-Intensive Algorithms Analysis: How to turn data into real value (models, answers/decisions, and visualizations/insights)? people Probability and Statistics [RP4] Quantified Self: Improving Performance and Well-Being [RP3] Smart Maintenance & Diagnostics: Safeguarding Availability Data Mining [RP2] Customer Journey: Correlating Events to Learn and Influence Customer Behavior Stochastic Networks Process Mining [RP1] Process Analytics: Improving Service While Cutting Costs Visualization [RP5] Data Value and Privacy: Economic and Legal Aspects of Data Science [RP6] Smart Cities: Ensuring Safety and Convenience for Citizens cities organizations [RP1] Process Analytics: Improving Service While Cutting Costs [RP2] Customer Journey: Correlating Events to Learn and Influence Customer Behavior [RP3] Smart Maintenance & Diagnostics: Safeguarding Availability [RP4] Quantified Self: Improving Performance and Well-Being Context: Why are we using data science, does it have the intended effect, and will people accept it? Human and Social Analytics [RP5] Data Value and Privacy: Economic and Legal Aspects of Data Science Privacy, Security, Ethics, and Governance Data-Driven Operations Management [RP6] Smart Cities: Ensuring Safety and Convenience for Citizens Data-Driven Innovation and Business [RP7] Smart Grids: Data Intensive Infrastructures
11 Data Science Flagship (Philips & DSC/e) 4 Strategic topics 4 TU/e departments 16 PhD students 30 Data science specialists 1. Data Driven Value Propositions 2. Healthcare Smart Maintenance 3. Optimizing Healthcare Workflows 4. Continuous Personal Health
12 Data Science University in Den Bosch
13 Process Mining: On the interface between process science and data science
14 As generic as a spreadsheet
15 Spreadsheet: Killer App for early computers VisiCalc (killer app for Apple II, Oct. 1979) Lotus (killer app for IBM PC 1983) Microsoft Excel (1985)
16 Spreadsheet: Static data
17 Spreadsheet: Static data fact derived
18 Spreadsheet: Static data total value 31 items sold distribution average
19 Spreadsheet: Static data How to analyze operational processes?
20 Process Mining: Spreadsheet for behavior row = event case identifier activity name resource timestamp Input: events ( things that have happened ) Mandatory per event: case identifier activity name timestamp/date Optional resource transaction type costs
21 Process Mining: Spreadsheet for behavior 208 cases 5987 events 74 activities
22 Process Mining: Spreadsheet for behavior batching for activities opstellen eindnota and archiveren
23 Loesje van der Aalst desire line Process Discovery
24 Process Mining: Spreadsheet for behavior process discovery NO modeling needed!
25 Process Mining: Spreadsheet for behavior 74 act. process discovery NO modeling needed! 11 act. 3 act.
26 process model event data Conformance Checking
27 desire line very safe system Conformance Checking
28 Process Mining: Spreadsheet for behavior conformance checking? discovered or hand-made
29 Process Mining: Spreadsheet for behavior conformance checking fitness of 93.5%
30 Process Mining: Spreadsheet for behavior conformance checking final inspection is skipped 40 times
31 Process Mining: Spreadsheet for behavior move on model (something should have happened, but did not) conformance checking move on log (something happened that should not happen)
32 Process Mining: Spreadsheet for behavior NO modeling needed! performance analysis average flowtime is 1.92 months bottleneck
33 Process Mining: Spreadsheet for behavior waiting time of days performance analysis NO modeling needed!
34 Process Mining: Spreadsheet for behavior animating reality real cases NO modeling needed!
35 Process Mining: Spreadsheet for behavior 16 cases are queueing animating reality
36 Process Mining: The missing link Process-centric and data-centric! process model analysis (simulation, verification, optimization, gaming, etc.) To answer conformance and performance questions! Offline and online. Multiple perspectives: control-flow resources time data performanceoriented questions, problems and solutions process mining data-oriented analysis (data mining, machine learning, business intelligence) complianceoriented questions, problems and solutions
37 Replaying history
38 Replay a c d e g get support from local manager (b) register travel request (a) get detailed motivation letter (c) decide (e) accept request (g) start check budget by finance (d) reject request (h) end reinitiate request (f)
39 Replay a c get support from local manager (b) e g? check budget (d) is missing! register travel request (a) get detailed motivation letter (c) decide (e) accept request (g) start check budget by finance (d) reject request (h) end reinitiate request (f)
40 Replay a c h d e g get support from local manager (b)? reject request (h) is impossible register travel request (a) get detailed motivation letter (c) decide (e) accept request (g) start check budget by finance (d) reject request (h) end reinitiate request (f)
41 Replay with timestamps a 9.15 c 9.20 d 9.35 e g start 9.15 register travel request (a) get support from local manager (b) get detailed motivation letter (c) check budget by finance (d) reinitiate request (f) decide (e) accept request (g) reject request (h) end
42 Replay with timestamps start register travel request (a) 20 get support 45 from local manager (b) get detailed 155 motivation letter (c) check budget by finance (d) reinitiate request (f) decide (e) accept request (g) reject request (h) end
43 Deviations Where? Why? time costs
44 Supply Chain / Industry 4.0 SAP process mining projects (cf. ProcessGold, Celonis, etc.) EDImine project ( CORE (Consistently Optimized Resilient Secure Global Supply Chains) project ( Looking for interesting supply chain applications (data first)
45 How to get started? Event Data Process Mining Tools Data Science Mindset
46 Starting point for process mining: Event data student name course name exam date mark Peter Jones Business Information systems Sandy Scott Business Information systems Bridget White Business Information systems John Anderson Business Information systems Sandy Scott BPM Systems Bridget White BPM Systems Sandy Scott Process Mining Bridget White Process Mining case id activity name timestamp other data John Anderson Process Mining every row is an event (here: an exam attempt)
47 Another event log: patient treatment patient activity timestamp doctor age cost 5781 make X-ray Dr. Jones blood test Dr. Scott blood test Dr. Scott blood test Dr. Scott CT scan Dr. Fox surgery Dr. Scott handle payment Carol Hope radiation therapy Dr. Jones case 5541 id radiation activity therapy name timestamp Dr. resource Jones 61 other data
48 Another event log: order handling order number activity timestamp user product quantity 9901 register order Sara Jones iphone5s register order @09.18 Sara Jones iphone5s register order @09.27 Sara Jones iphone4s check stock @09.49 Pete Scott iphone5s ship order @10.11 Sue Fox iphone5s check stock @10.34 Pete Scott iphone4s 1 case 9901 id handle activity payment name @10.41 timestamp Carol resource Hope iphone5s other data 1
49 How to get started? Event Data Process Mining Tools Data Science Mindset
50 Process Mining Software
51 900+ plug-ins available covering the whole process mining spectrum
52
53 How to get started? Event Data Process Mining Tools Data Science Mindset
54 people joined! Process Mining Data Science in Action Starts again on October 7 th 2015! Register via
55 Conclusion
56 Conclusion Process Mining: Connecting data science and process science Easy to get started: data, software, and courses are (freely) available. We are interested in doing supply chain process mining projects!
57
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