achieving business results with process mining for sap extended … · 2021. 1. 10. · sap...
TRANSCRIPT
From data to valueAchieving business results with Process Mining for SAP Extended Warehouse Management (EWM)
Process flowsIn EWM, all documents can be tracked in the warehouse monitor, which can assign a live status to each process and show how much stock is left. However, these process flows can only be viewed in relation to the relevant order, process sequences cannot be managed.
SAP Extended Warehouse Management (EWM)Restrictions in monitoring the EWM processes
Center for Process BionicsProcess Mining for diagnosis and optimization in the digital age
Process Mining in SAP EWMVisualizing process flows and creating transparency throughout all processes
Process Mining in SAP EWMTransparency throughout different use cases in EWM
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PerformanceAlthough the warehouse monitor gives a real-time overview of the warehouse, performance issues, bottlenecks and other problems are hard to track down, both for inbound and outbound processes.
ReworkRework due to delivery changes or unavailable stock are not uncommon in EWM. However, the time lost to these activities, and their influence on downstream processes, cannot easily be tracked in a standard SAP implementation.
What is Process Mining?Process Mining is a new analytical discipline that uses process data from IT systems to reconstruct actual processes on a transactional level for companies and analyzes the status of processes and bottlenecks in real time. Process Mining therefore offers companies full transparency of their processes, generating knowledge that forms the basis for process optimization measures and the starting point for continuous operational excellence.
How does Process Mining work?
Data to Value
EWM process view in Process Mining
Advantages of using Process Mining
Standard Process Mining
Data processing• Using the Deloitte • Process Mining • Data Framework
Process visualization• Process flow per transaction• KPIs including lead time• according to different • dimensions (e.g. customers)
Digital Discovery
Extraction of process-relevant data• Timestamp• Activity• ID of the transaction• Relevant meta data
KPIs and insights in real time
End-to-end process transparency
Saving time in data provisioning
Increased customer centricity and innovation potential
New strategic opportunities due to advanced data insights
Efficiency gains from• improving processes • (eliminate, simplify, standardize, automate)• cutting-edge technology• changes in people’s mindset and behavior
NextBack
EWM - Outbound
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100
61
49
41
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12
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Outbound Delivery Created106
Outbound Delivery Order Created in EWM106
Sales Order Created106
Process Start106
Process End106
Wave Released63
Picking Executed49
Goods Issue Posted37
Goods Issue Posted in ERP33
TU Created17
TU to Delivery Assigned17
Arrival at Checkpoint16
Docked at Door13
Loading Started13
Departed from Door12
Departure from Checkpoint11
Loading Completed11
Outbound Delivery Order Quantity Changed6
Sales Order Confirmed Quantity Changed6
Sales Order Quantity Changed6
Picking Cancelled4
Outbound Delivery Quantity Changed3
# SO Items
106
Median Throughput Time
55 Hours
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Issue 03/2020
Contact Team
Theophilos KotzaerogluSenior ManagerLead SAP Logistics Solution & Transportation Tel: +49 (0)711 16554 7345 [email protected]
Sander GroenenSpecialist Manager Tel: +49 (0)89 29036 [email protected]
Donald MwangaConsultantTel: +49 (0)69 9713 [email protected]
Annette DekkerConsultantTel: +49 (0)89 29036 8041 [email protected]
Frank FranzlikDirectorCenter for Process Bionics Tel: +49 (0)89 29036 [email protected]
Dominik LehmannSenior ConsultantTel: +49 (0)89 29036 [email protected]
Yingtao GuConsultant Tel: +49 (0)89 29036 [email protected]
Multidimensional comparison analysis options, e.g. by comparing material groups, carriers or warehouse numbers with each other.
Visualizes EWM process flows and data for easier detection and assessment of bottlenecks, e.g. at packing workstations, or deviating process sequences during picking.
Customizable benchmarking and KPI data for optimized root cause analysis, e.g. to see how carriers’ door occupation influences punctual delivery.
Combines data relating to warehouses and orders to create process transparency. Gives a much broader view than the warehouse monitor.
Provides an insight into rework and other change activities in the processes. For example, the number of times picking activities are rescheduled or how often customers change the number of ordered materials, which leads to extra warehouse activities.
Process overviewAnalyze processes and gain insight, e.g. into rework activities such as repacking and other deviating process sequences in your inbound or outbound processes.
BottlenecksExplore the areas where work can get delayed and identify the causes of bottlenecks to get work flowing through every workstation at a more even rate.
Process Mining
BenchmarkingA detailed insight in all processes and variants with extensive customization options for benchmarking comparisons based on carriers, material numbers, customers etc.
ReworksAnalyze processes and gain insight into the rate of activity occurrence or reworks, e.g. in picking, packing or staging activities.