S-Cube Learning PackageAnalyzing and Adapting Business Processes based on            Ecologically-aware Indicators        ...
Learning Package Categorization                        S-Cube                Adaptable Coordinated                 Service...
Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions             ...
Problem Description Business Process Reengineering (BPR) is a common  methodology to analyze and optimize business proces...
Motivating Scenario – Part 1 (1) Current Car Finishing Process of Auto Inc. After completely assembling a car the follow...
Motivating Scenario – Part 1 (2) The sample process shows two different branches that are  performed randomly:   – A quic...
Motivating Scenario – Part 1 (3) The management of Auto Inc. now decides to also improve  their environmental impact, in ...
Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions             ...
Green Business ProcessReengineering - Introduction Green Business Process Reengineering requires, compared  to regular Bu...
Green Business ProcessReengineering - Architecture                            1. Strategy                                 ...
Architecture – Phase 1                          1. Strategy   Key Performance Indicators, Key Ecological Indicators       ...
Architecture – Phase 2                            2. Sensing & Monitoring                                  IT-Systems     ...
Architecture – Phase 3                                               Carbon1             Carbon1                          ...
Architecture – Phase 3 What are Business Process Views:   – A view on a process intends to abstract from details and make...
Architecture – Phase 3 Augment a business process with runtime information    Original Process                        Aug...
Architecture – Phase 3    Transformation 1: Omit some activities that cannot be     changed or replaced by design    Tra...
Architecture – Phase 3 Drill-Down specific activities to access more detailed  information    Visually Transformed View 2...
Architecture – Phase 4                              4. Adaptation                                                Process  ...
Architecture – Phase 4 Indicators are aggregated through all activities of a single  business process variant Different ...
Motivating Scenario – Part 2 (1) Green Objectives: Reduce                         Transformation Steps:   – Carbon Emissi...
Motivating Scenario – Part 2 (1) Green Objectives: Reduce                     Transformation Steps:   – Carbon Emission  ...
Motivating Scenario – Part 2 (1) Green Objectives: Reduce                        Transformation Steps:   – Carbon Emissio...
Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions             ...
 The approach has various advantages:   – Utilizing well established methods from business process     reengineering   – ...
Now Let’s Check How AccuratePredictions are (1) The approach also has some open issues:   – How to get all ecological inf...
Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions             ...
Summary Green Business Process Reengineering methods can be  used to address environmentally-aware business process  opti...
Further S-Cube ReadingNowak, Leymann, Schumm, and Wetzstein. An Architecture and Methodology for a Four-Phased Approach to...
Acknowledgements      The research leading to these results has      received funding from the European      Community’s S...
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S-CUBE LP: Analyzing and Adapting Business Processes based on Ecologically-aware Indicators

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S-CUBE LP: Analyzing and Adapting Business Processes based on Ecologically-aware Indicators

  1. 1. S-Cube Learning PackageAnalyzing and Adapting Business Processes based on Ecologically-aware Indicators University of Stuttgart (USTUTT) Alexander Nowak, USTUTT www.s-cube-network.eu
  2. 2. Learning Package Categorization S-Cube Adaptable Coordinated Service Compositions Adaptable and QoS-aware Service Compositions Analyzing and Adapting Business Processes based on Ecologically-aware Indicators © Alexander Nowak
  3. 3. Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions © Alexander Nowak
  4. 4. Problem Description Business Process Reengineering (BPR) is a common methodology to analyze and optimize business processes in organizations In recent years, the concepts and methods of BPR have been extended in order to account for cross-cutting concerns, like environmentally-aware business process optimization Green Business Process Reengineering accounts for 5 different dimensions – Cost – Time – Quality – Flexibility – Environment © Alexander Nowak
  5. 5. Motivating Scenario – Part 1 (1) Current Car Finishing Process of Auto Inc. After completely assembling a car the following process is executed: Check Water Prepare Engine Test Visual Check Test Run Density and Detailed Check Clean Car Put Car into Operation Perform Quick Create Report Check © Alexander Nowak
  6. 6. Motivating Scenario – Part 1 (2) The sample process shows two different branches that are performed randomly: – A quick check is performed, considering only some basic analysis – A detailed check that includes some further steps: - First, the check is prepared in general (create documents etc.) - Second, the engine is tested in detail - Third, a detailed visual check is performed - Forth, a test run on the test track is performed - Fifth, the water density of the car is checked and the car gets cleaned © Alexander Nowak
  7. 7. Motivating Scenario – Part 1 (3) The management of Auto Inc. now decides to also improve their environmental impact, in particular their water consumption and CO2 emission. Now, the question is: How to optimize the environmental impact of this process? Current business process management approaches lack in considering an environmental dimension © Alexander Nowak
  8. 8. Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions © Alexander Nowak
  9. 9. Green Business ProcessReengineering - Introduction Green Business Process Reengineering requires, compared to regular Business Process Reengineering, – Additional information with respect to the environment – New analysis technologies Common BPR Architecture needs to be extended! © Alexander Nowak
  10. 10. Green Business ProcessReengineering - Architecture 1. Strategy Key Performance Indicators, Key Ecological Indicators Top Management 4. Adaptation Process Process Model Middleware / Evolution Instance Deployment BPR & Migration BPM (CIP) Business/Enterprise Dynamic Provisioning Manual Adaptation … Architect (IT) Developer / Architect (IT) Operator 3. Analysis & Management Carbon1 Carbon1 Carbon2 Carbon2 Carbon3 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon1 Carbon2 Carbon2 Carbon3 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 CO2 Energy Business Analyst Carbon1 Carbon2 Carbon3 Water … 2. Sensing & Monitoring IT-Systems Ecosystem Logistics Manufacturing Human Facilities Operational Staff and Operations Tasks Buildings (IT) Developer / Architect © Alexander Nowak
  11. 11. Architecture – Phase 1 1. Strategy Key Performance Indicators, Key Ecological Indicators Top Management We define Key Ecological Indicators (KEIs) as Tupel consisting of – Ecological Characteristic (EC) Metric – Target Value Function Example: max CO2 emission (of a process instance) < X1 © Alexander Nowak
  12. 12. Architecture – Phase 2 2. Sensing & Monitoring IT-Systems Ecosystem Logistics Manufacturing Human Facilities Operational Staff and Operations Tasks Buildings (IT) Developer / Architect Different Systems need to measure the environmental impact, for example IT-Systems or Manufactoring Operations (see Figure above) Distinguish between different sensing and monitoring types: – Same EC metric, e.g. from service specification, SLA, or existing knowledge, for all process instances – Monitored while performing the process instance – Mixed Value Function – Dynamic Value Function © Alexander Nowak
  13. 13. Architecture – Phase 3 Carbon1 Carbon1 Carbon2 Carbon2 Carbon3 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon1 Carbon2 Carbon2 Carbon3 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 CO2 Energy Business Analyst Carbon1 Carbon2 Carbon3 Water … Analysis of Business Processes based on sensed and monitored information Business Process Views: – Custom Visualization of Business Processes – Augment Process with additional Information © Alexander Nowak
  14. 14. Architecture – Phase 3 What are Business Process Views: – A view on a process intends to abstract from details and make complex processes easier to understand. – Highlight parts of interest based on augmented information – A process view results from specific transformations applied to a process model. A Transformation Example concerning environmental aspects is shown in the following © Alexander Nowak
  15. 15. Architecture – Phase 3 Augment a business process with runtime information Original Process Augmented Process View Model augment Legend process Activity Carbon1 Carbon1 Carbon2 Carbon2 Carbon3 Carbon3 Control-Flow Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 Augmentation Carbon1 Carbon2 Carbon1 Transformation Carbon3 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 © Alexander Nowak
  16. 16. Architecture – Phase 3  Transformation 1: Omit some activities that cannot be changed or replaced by design  Transformation 2: Graphically represent environmental information Augmented Process View Visually Transformed View 1 Visually Transformed View 2 omit adjust Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 activities Carbon1 visualization Carbon1 Carbon2 Carbon3 8 Carbon2 Carbon1 Carbon3 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 7 15 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon3 3Carbon1 5Carbon2 Carbon1Carbon3 Carbon2 Carbon1 Carbon2 Carbon3 Carbon1 Carbon2 Carbon1 Carbon2 9 Carbon3 Carbon3 Carbon3 © Alexander Nowak
  17. 17. Architecture – Phase 3 Drill-Down specific activities to access more detailed information Visually Transformed View 2 Drill-Down View drill- 8 7 8 8 down 7 7 15 3 3 5 95 9 © Alexander Nowak
  18. 18. Architecture – Phase 4 4. Adaptation Process Process Model Middleware / Evolution Instance Deployment BPR & Migration BPM (CIP) Business/Enterprise Dynamic Provisioning Manual Adaptation … Architect (IT) Developer / Architect (IT) Operator Business Process Views provide decision support for adapting business processes Trade-off between different indicators (KPIs, KEIs, etc) need to be addressed Business Process Variants as means to evaluate adaptation strategies © Alexander Nowak
  19. 19. Architecture – Phase 4 Indicators are aggregated through all activities of a single business process variant Different business process variants can be compared Concrete Adaptation Mechanisms depend on concrete business processs Variant 1 modify CO2=90 Original Process structure Cost=105 View Time=98CO2=100Cost=100Time=100 Variant 2 CO2=85 Cost=95 Time=110 © Alexander Nowak
  20. 20. Motivating Scenario – Part 2 (1) Green Objectives: Reduce Transformation Steps: – Carbon Emission 1) Omit Activities (Selection indicated by dashed lines) – Water Consumption Check Water Prepare Engine Test Visual Check Test Run Density and Detailed Check Clean Car Put Car into Operation Perform Quick Create Report Check © Alexander Nowak
  21. 21. Motivating Scenario – Part 2 (1) Green Objectives: Reduce Transformation Steps: – Carbon Emission 2) Augment Green Data and change activity appearance – Water Consumption Check Water Engine Test Visual Check Test Run Density and Clean Car Put Car into Operation Low CO2 emission Create Report High CO2 emission Low water consumption High water consumption © Alexander Nowak
  22. 22. Motivating Scenario – Part 2 (1) Green Objectives: Reduce Transformation Steps: – Carbon Emission 3) Create Process Variant – Water Consumption Check Water Test Run at Engine Test Visual Check Density and Test Track Clean Car Put Car into Test Run at Operation roller Create Report dynamometer Low CO2 emission High CO2 emission Low water consumption High water consumption
  23. 23. Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions © Alexander Nowak
  24. 24.  The approach has various advantages: – Utilizing well established methods from business process reengineering – “Virtual” business process adaptation using business process views – Decoupling of business and IT - Business process experts can analyze the process, model different business process variants and evaluate them - IT experts can use standardized business process models to setup runtime environment © Alexander Nowak
  25. 25. Now Let’s Check How AccuratePredictions are (1) The approach also has some open issues: – How to get all ecological information one needs to improve the total environmental impact of an organization? – How to implement different K*Is in enterprise architectures? – How to handle different levels of granularity between business processes and sensor and monitoring data? © Alexander Nowak
  26. 26. Learning Package Overview Problem Description Green Business Process Reengineering Discussion Conclusions © Alexander Nowak
  27. 27. Summary Green Business Process Reengineering methods can be used to address environmentally-aware business process optimization Steps: 1. Define indicators based on organizations strategy 2. Augment and analyze process models with runtime information using business process views 3. Create and evaluate business process variants considering the trade-off between different optimization dimensions 4. Adapt current process model with chosen business process variant © Alexander Nowak
  28. 28. Further S-Cube ReadingNowak, Leymann, Schumm, and Wetzstein. An Architecture and Methodology for a Four-Phased Approach toGreen Business Process Reengineering. In Proceedings of the 1st International Conference on ICT as KeyTechnology for the Fight against Global Warming - ICT-GLOW 2011 (accepted for publication), Springer-Verlag, Berlin, Heidelberg. © Alexander Nowak
  29. 29. Acknowledgements The research leading to these results has received funding from the European Community’s Seventh Framework Programme [FP7/2007-2013] under grant agreement 215483 (S-Cube). © Alexander Nowak

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