Smart Last Mile Logistics (SMile)
- Objective: Die Logistik der letzten Meile, auch Last Mile Logistics genannt, hat aufgrund des E-Commerce in den letzten Jahren stark an Bedeutung gewonnen. Dieser Teil der Lieferkette ist sehr herausfordernd, da Paketempfänger oftmals nicht anzutreffen sind. Mithilfe der Digitalisierung und der Verarbeitung von Echtzeitdaten können neuartige Zustellungsoptionen ermöglicht werden, die Städte entlasten und den ländlichen Raum wieder stärker vernetzen. Ziel des Vorhabens ist es verschiedenste Last Mile-Anwendungsfälle durch eine flexible Prozessteuerung zu unterstützen und dabei Crowd Logistics-Ansätze (z.B. Mitnahme von Paketen für die Nachbarn) und neuartige Zustellungsmöglichkeiten (z.B. Car Delivery) zu realisieren. Case Management-Ansätze bieten Möglichkeiten zur bedarfszugeschnitten Prozessausführung. Zur Entlastung des städtischen Verkehrs und zur Vernetzung der ländlichen Gebiete ist es Ziel gemeinsame Ressourcen, zum Beispiel Lieferwagen, zu verwenden. Batch Processing Techniken ermöglichen Ressourcen durch Konsolidierung optimal auszulasten. Das Projekt zielt auf die Entwicklung eines flexiblen Batch Processing-Ansatzes zur Umsetzung von Crowd Logistics-Ansätzen und zur Konsolidierung von Paketen für die Last-Mile-Auslieferung.
- Timeframe: March 2018 to March 2021
- Sponsor: BMWi Smarte Service Welten II
- Persons involved from BPT: Luise Pufahl Mathias Weske
- Project partners: GoodsTag, ParcelBox, GS1 Germany, University of Leipzig
Production Case Management (PCM) with Bosch Software Innovations GmbH
- Objective: The project targets on an approach catering for (1) flexible process management including run-time adaptations and corresponding change management as well as (2) process variant management. Thereby, we aim at support on design-time and run-time level. Especially for the latter, we analyze the interplay of processes, events, and rules and incorporate these findings into a combined execution of business processes.
- Timeframe: 2014 - 2018
- Project Partner: Bosch Software Innovations GmbH
- Link: https://bpt.hpi.uni-potsdam.de/Public/PCM
- Persons involved from BPT: Marcin Hewelt, Sankalita Mandal, Mathias Weske, and formerly Andreas Meyer and Nico Herzberg
Green European Transportation (GET Service)
- Objective: The GET Service platform provides transportation planners with the means to plan transportation routes more efficiently and to respond quickly to unexpected events during transportation. In this project, BPT is responsible for event processing and its correlation to processes. Using the UNICORN platform, we are able to increase the transparency of transportations as well as improve the detection and visualisation of events' impacts (e.g., delays or disruption of transportation). In general, GET Service connects to existing transportation management systems, provides novel planning algorithms, and improves systems' and algorithms' performance by enabling sharing of selected information and events, advanced planning and advanced transportation management.
- Timeframe: October 2012 to September 2015
- Sponsor: EU's 7th Framework Programme
- Link: http://getservice-project.eu
- Persons involved from BPT: Anne Baumgrass, Andreas Meyer, Marian Pufahl, Mathias Weske
- Project partners: TU/e, PTV, Jan de Rijk, Portbase, Exus, WU Vienna, TransVer, IBM Zurich, HPI
- Short summary: https://www.youtube.com/watch?v=XNIPWquZvsY
- References and presentations: http://getservice-project.eu/en/project/papers-events
UNICORN - A platform for event processing in business process management
- Objective: UNICORN provides services to capture real-world events from different sources, to process these events, e.g., by aggregation or transformation, to correlate the events to its corresponding business process, and to provide and to manage these events for event consumers, e.g., business process monitoring applications. Currently, UNICORN is used in the EU Project GET Service, in which event processing builds an important basis to provide enhanced logistics services for efficient and effective planning.
- Timeframe: since October 2012
- Link: http://bpt.hpi.uni-potsdam.de/UNICORN
- Persons involved from BPT: Anne Baumgrass, Marcin Hewelt, Mathias Weske
- References and presentations: http://bpt.hpi.uni-potsdam.de/Trash/UNICORN/UNICORNReferences
Learning Legal Expert System with Flightright GmbH
- Objective: Building on the Object Management Group's Decision Model & Notation Standard (DMN 1.0), HPI provides conceptual work in terms of a system architecture that supports configurable process executions based on decision management. The architecture will allow to structure the decisions that need to be taken during process execution and enables to optimize them in order to achieve desired process outcomes.
- Timeframe: April 2015 to April 2016
- Project Partner: Flightright GmbH (Patrick Fahrun)
BPM Requirements at the comdirect bank AG
- Objective: Being an innovative online bank, comdirect bank AG has established BPM as one of its innovation drivers for its operations. In the course of its BPM efforts comdirect bank AG has created a large set of process models for documentation and training purposes. The aim of the project is to gather new requirements from BPM users and departments and identify new applications areas of BPM and its current process model collection. This includes the mapping from a proprietary business process modeling notation to BPMN 2.0.
- Timeframe: April 2015 to June 2015
- Persons involved from BPT: Rami-Habib Eid-Sabbagh, Mathias Weske
- Project partners: comdirect bank AG
Interacting Business Processes based on Data-Driven Service Composition
- Objective: By combining techniques from business process management, database schema matching, and machine learning feedback utilization, this research project aims at providing an important milestone in deriving business process implementations from annotated process models. In particular, data schema matching and machine learning algorithms are used to investigate the impact of the process data on selecting the most appropriate services from a set of available services for implementation of a single business process activities. Further, the relationship of the output data of one process to the input data of another process during communication between interacting processes is investigated, so that data transformation based on a determined data mapping can be used to let the processes interact properly.
- Timeframe: July 2012 to June 2015
- Sponsor: DFG - Deutsche Forschungsgemeinschaft
- Persons involved from BPT: Mathias Weske
- Project partners: Al-Quds University, Jerusalem, Palestinian Territories, and Technion, Faculty of Industrial Engineering & Management, Haifa, Israel