Secondments

RISE_BPM's Innovation and Staff Exchange will be documentend in terms of secondments. They will be presented and archived within this section. 

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2016-07-10–2016-07-16: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Manuel Raffel

Researcher: Manuel Raffel

Researcher Category: Early stage researcher
Website: http://www.wu.ac.at/infobiz/team/raffel/en/
Goal of the stay:

the last part consists of summarization and feedback rounds aimed at evaluating the collaborative performance as well as decide upon possible future collaborations, including but not limited to finding master’s thesis or dissertation topics relevant for the industry to be conducted with the Institute for Information Business.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-07-01–2016-11-01: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

Uber, the world’s largest taxi company, owns no vehicles and And Airbnb, the world’s largest accommodation provider, owns no real estate. There are areas of goods and services, where consumers needs can be satisfied by mere access to a resource instead of actual ownership. These markets for peer-to-peer (P2P) sharing and collaborative consumption (SCC) gathered under the to share term of the sharing economy describe a phenomenon, that has experienced strong growth in the past years. As of today, there are more than 10.000 web platforms that consider themselves part of the sharing economy. These platforms depend on the efficient execution of Smart-IT-enabled processes. However, neither reference processes exist for P2P SCC platforms nor the role of smart devices in the establishment and management of these processes is yet understood.

The goal of the secondment is to build upon the research outcomes of a previous RISE_BPM collaboration between the University of Muenster and Pohang University of Science and Technology. The analysis of the processes and the structures of the P2P SCC enterprises under the umbrella of the Sharing City Seoul Initiative provided first reference materials and hypotheses in regard to how P2P SCC platforms manage their processes and build upon the use of smart devices such as location-based sensors for efficient match-making between peers. A particular goal is to improve the understanding of how smart devices are utilised by these sharing businesses in order to facilitate the sharing between individuals. We plan to do it by extending the scope of the analyzed P2P SCC platforms specifically looking at the corresponding enterprises located in Brazil. By means of semi-structured interviews and platform analyses, we aim at enriching our understanding of BP references models in the domain of P2P SCC.  As the individual behavior of peers is decisive for the success of any P2P SCC enterprise we furthermore analyze the social impact factors on the BPM of sharing economy businesses. A look at different social environments such as Europe, South Korea, and Brazil gives us a unique opportunity to understand the differences and similarities in the social impact on P2P SCC BPM.

This stay addresses WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1) 


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-06-28–2016-07-15: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Adela del-Rio-Ortega

Researcher: Adela del-Rio-Ortega

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/adela.delrio
Goal of the stay:

The goals of this secondment are framed into two contexts: Process model understandability and validation and Business Process-Oriented Knowledge Management (BPO-KM). In the following we introduce them and set the goals:

  1. Business process models are artifacts that can be used to support the understanding of how to obtain a service or product. However, the misunderstanding produced by “hard” process model notations prevents not only the understanding of the process, but also the implementation of appropriate tools to support them and the current practice of a service. One goal of this secondment is to build upon previous research results of the collaborating groups (from UNIRIO and USE) and other existing approaches to investigate possible mechanisms to automatically obtain highly understandable process models from existing BPMN models.
  2. Knowledge Management aims to promote the growth, communication and preservation of knowledge within an organization, which includes managing the appropriate resources to facilitate knowledge sharing and reuse. Business Process-Oriented Knowledge Management (BPO-KM) focuses on discovering and representing the dynamic conversion of existing knowledge among participants involved in executing business processes. In this context, Knowledge-Intensive Processes (KPIs) are a very important and challenging specific subclass of processes, since they strongly involve socialization and informal exchanges of knowledge among participants. BPO-KM aims at identifying, modeling, analyzing and refining KIPs. As part of this, the performance measurement of KIPs plays a key role for their holistic management and improvement. In this secondment we plan to investigate how existing approaches for the definition of process performance indicators can be adapted or extended to measure the performance of KIPs.

Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-06-02–2016-08-10: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Benjamin Klör

Researcher: Benjamin Klör

Researcher Category: Experienced researcher
Website: https://www.wi.uni-muenster.de/de/institut/gruppen/is/personen/benjamin-kloer
Goal of the stay:

„Smart Business Process for Reconfiguring Electric Vehicle Batteries“

Motivation

Electric vehicle batteries (EVBs) are large energy storage facilities to propel electric vehicles (EVs) over significant distances. EVBs are designed for modularity and comprise of parallel connected battery modules (increase total amperage), which again consist of plenty of serially connected battery cells (increase total voltage). Due to degradation effects (calendric and cyclic aging), the quality of EVBs decreases over time, which necessitates their removal from the EVs (first life application) after approximately ten years of usage. However, the batteries still provide enough energy to be repurposed in various second life scenarios, e.g., as buffer storages in smart homes or solar plants.

Like many other used products that are intended for a second life, EVBs must be handled by a dedicated business process to organize, e.g., their take back, refurbishment, reconfiguration, and redistribution. Because of the specific characteristics and properties of EVBs as a cyber-physical system (integrated battery management system (BMS), which is a “smart device”), the business process for giving batteries a second life may become “smart(er)”.

Research Endeavor

To design such a business process, it is necessary to review current process instances of reconfiguring/repurposing used products/goods to analyze possible activities, which can become smart. We define “smart” by the degree of business process automation and efficiency that can be reached by using smart devices and IS. Then, based on the findings of the process instances, the repurposing process for used EVBs is derived with a special focus on their reconfiguration, since this activity is considered to be one block in the process chain that may become smart(er).

As yet, we think that the reconfiguration of EVBs can become smart due to the EVBs’ modular design and the included smart device (BMS), which can provide comprehensive data about the status and usage history of the battery. This data can be used to feed decision models for optimizing the reconfiguration process. The decision models shall make use of linear programming to generate a set of feasible reconfigured batteries that optimally satisfy the requirements of second life scenarios, which could not be supplied with a battery in the first round of battery matching. Consequently, by reconfiguring batteries on pack and module levels, battery systems can be supplied to more or less demanding second life scenarios.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2016-05-26–2016-06-24: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Universidad de Sevilla (USE)

Flavia Maria Santoro

Researcher: Flavia Maria Santoro

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/5377746284077362
Goal of the stay:

The main goal of this secondment is to analyze computing concepts to real-time monitoring and control of business processes. This goal is aligned with WP3: Technological Enablers – Real-time Computing (Phase 1). Specifically, a study on the discovery of relevant context information for modeling the business process will be done. The approach to be adopted will: propose and create mechanisms to support an organization to adapt and dynamic evolution of its processes, automatically or semi-automatically based on context information. This support is accomplished through the analysis of the current context and also the reasoning of the historical process of events in previous instances.

The other goal of this second is to identify potential interests and possibilities of integrating the research on BPM related to RISE-BPM of both groups.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-04-05–2016-05-05: Technische Universiteit Eindhoven (TU/e) to Ulsan National Institute of Science and Technology (UNIST)

Sebastiaan Zelst, van

Researcher: Sebastiaan Zelst, van

Researcher Category: Early stage researcher
Website: http://www.win.tue.nl/~svzelst/
Goal of the stay:

Resource Network analysis in data intensive environments. Given the omnipresence of data, and, the high velocity at which data is produced within business processes, interesting questions arise such as: what resources are currently active? what resource is causing problems? What clusters of resources can we identify? etc. During the research visit we focus on discovering, visualizing analyzing such information, using a process mining focus. We investigate the intersection of existing (process mining based) social network analysis techniques, and, techniques aiming at handling huge amounts of (streaming) data.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-04-04–2016-05-04: Technische Universiteit Eindhoven (TU/e) to Ulsan National Institute of Science and Technology (UNIST)

Maikel van Eck

Researcher: Maikel van Eck

Researcher Category: Early stage researcher
Website: http://www.tue.nl/universiteit/faculteiten/wiskunde-informatica/de-faculteit/medewerkers/detail/ep/e/d/ep-uid/20080452/
Goal of the stay:

The aim of process mining is to provide fact-based insights into the execution of processes. An important aspect of this is the discovery of process models based on behaviour captured in event data. During this research visit we investigate the discovery of state-based process models in on-line settings with changing processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-03-21–2016-04-20: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Cristina Cabanillas

Researcher: Cristina Cabanillas

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/
Goal of the stay:

The goal of this secondment is to apply results of the research on resource management in
business processes conducted at WU on real projects developed at Cupenya, which is
specialized in analysing process performance. In particular, the work consists of four tasks:
(i) assess the business processes, organizational models and resource assignment
requirements that Cupenya can provide and model them using RALph as resource
assignment notation; (ii) develop a RALph modeler suitable for real needs that will later be
integrated into Cupenya's analytics tool; (iii) develop an automated technique to analyze
the involvement of resources in the key performance indicators (KPIs) defined for a
business process; and (iv) analyze requirements for resource allocation during process
execution that will be useful for continuing the work in the direction of automatic resource
allocation and organizational planning. The idea is that both parties get benefit from this
secondment: Cupenya's current business process management software lacks support for
the resource perspective, so they could leverage a resource modeler and reasoning modules;
WU would use the real scenarios to validate research results as well as to extend existing
approaches for a broader application.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-03-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

During this Managerial Stay, I would like to streamline the processes of project coordination and documentation with our Brazilian partners. This inlcudes parts of the preparation of the upcoming report. Furthermore, I would like to identify opportunities to create and increase the collaboration of the partners with UNIRIO in terms of education by offering, e.g., joint seminars. For this, feasible solutions should be discussed. Finally, I would like to discuss opportunities to include Brazilian partners into the ERCIS network, which forms the basis the RISE_BPM project.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP10: Project Management

2016-03-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Elena Gorbacheva

Researcher: Elena Gorbacheva

Researcher Category: Experienced researcher < 10 years
Website: https://www.wi.uni-muenster.de/department/groups/is/people/elena-gorbacheva
Goal of the stay:

The collaboration between WWU and UNIRIO was strengthened within the performed secondment via
(1) the development of a joint publication reporting on the case that took place at a large Brazilian insurance company, where BPM was adopted to solve contemporary organisational challenges; and
(2) exchange of experience in promotion of study opportunities for girls in the BPM field (the under-represented group), which motivated launching a respective intervention at UNIRIO (as part of the “Digital Girls” initiative).


Work packages addressed: WP4: Technological Enablers – Big Data Technology (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-02-07–2016-03-03: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Andreas Solti

Researcher: Andreas Solti

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/rogge-solti/en/
Goal of the stay:

Many organizations run their business processes without a centralized process orchestration engine. Instead organizations rely often on IT systems without process awareness, like ERP systems, CRM systems and issue tracking systems. Nevertheless, it is business processes that are executed and the goal is to be able to monitor these processes with performance indicators. If we are able to tap into the source of events that track ongoing work in the IT systems and connect them to the process models which describe the processes on a higher level, we enable monitoring and decision support on the process level. The goal of this work is to ease the painful manual task of wiring low level events from IT systems to the process model at hand by an automated matching algorithm that takes also nonstructured textual descriptions into account. By leveraging semantic technology, we expect to get a significant improvement over conventional matching using only structural information.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-02-03–2016-04-06: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

The goal of the secondment is to analyze the processes and the structure of the businesses within the Sharing Economy that are part of the Sharing City Seoul Initiative. Sharing City Seoul is a governmental project that created partnerships with NGOs and private companies to make sharing an integral part of Seoul's economy. A particular goal is to understanding how smart devices are utilized by these sharing businesses in order to facilitate the sharing between individuals. Currently, several barriers exist, which limit the possible scenarios for exercising peer-to-peer sharing of various resources between individuals. An effective use of 'intelligent' devices is a potential solution for the emerged challenges and have high implications for the BPM within the domain of Sharing Economy of tomorrow. By analyzing the state of the art of the processes in the Sharing Economy businesses, it is our goal to be able to add knowledge to the body of research and provide implications for the emerging businesses in the practice. The aim of the project is therefore directly aligned with the goals defined in the WP2. Furthermore, given the nature of the Sharing Economy phenomenon, the project adds knowledge in regard to the societal impact factors in BPM to the outcome of the WP5.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-02-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Hendrik Scholta

Researcher: Hendrik Scholta

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

Predictive e-government services are a concept for future governments to use available data, which may include sensor data, in order to increase their customers’ convenience and efficiency of processes. In the course of such services, governments predict life events of customers and make recommendations for governmental services that may be relevant to customers, e.g. the extension of a driver’s license when it is supposed to expire. The aim of this secondment is to investigate the suitability of predictive services to eliminate forms. Predictive services fundamentally change the way governments operate and thereby influence their processes. Therefore, this secondment makes a contribution to the analysis of prospects and challenges of entirely new smart e-government services, which affect BPM in governmental institutions.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2015-12-02–2016-02-29: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Westfälische Wilhelms-Universität Münster (WWU)

Kate Revoredo

Researcher: Kate Revoredo

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/0814717344017544
Goal of the stay:

Evaluate the benefits of contextual information to business process management. Contextual Information can be leveraged from social media or smart devices. Investigate how they can be obtained, extracted and then integrated to the business process aiming at improve it are the goals of this secondment and are aligned with WP01 and WP02.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)

2015-11-07–2015-12-10: Technische Universiteit Eindhoven (TU/e) to University of Liechtenstein (UNI-LI)

Bart Hompes

Researcher: Bart Hompes

Researcher Category: Early stage researcher
Website: https://www.tue.nl/en/university/departments/mathematics-and-computer-science/the-department/staff/detail/ep/e/d/ep-uid/20107238/
Goal of the stay:

In many domains, analysis of processes down to the level of process models is either too complex, meaningless or even unwanted. Often times, however, process owners carry or share liability for any issues in these processes. Process mining techniques can be used to automatically check key performance indicators and service level agreements (SLAs). For example, how to reduce cost and improve speed and reliability are important issues in today's healthcare processes. Due to the flexible nature of processes in the healthcare domain, the size and complexity of these data is increasing continuously. SLAs concerning cost and performance are commonplace in healthcare environments.

The idea is that we can improve processes(es) by learning from historical behavior. For example, we might find early signs of potential problems later on in the process. We want to find these anomalies and early predictors for SLA violations in the data in order to be able to gain insight into the process(es) at hand and in order to optimize the process as a whole.

The goal of this stay is to investigate which techniques exist concerning SLAs as to be able to develop a framework in which SLAs are centric in the performance analysis of business processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

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