Discussion meeting on Smart Mobility research

Friday, Nov 24, 12:30-13:30h, in Pav. K16, we have the last cluster meeting of this year. The current research topics and projects in the cluster are discussed and how they all fit together. Starting point is the framework used in a recently written position paper “The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges”, by Janiesch et al (https://arxiv.org/abs/1709.03628).

Paper discussion on Adaptive Systems

Friday, Oct 27, 12:30h, in Pav. K16, we have a cluster meeting. Jonnro Erasmus will lead the discussion on the paper by Karen M. Feigh, Michael C. Dorneich, Caroline C. Hayes , “Toward a Characterization of Adaptive Systems: A Framework for Researchers and System Designers”. In: Human Factors,  Vol 54, Issue 6, pp. 1008 – 1024, http://journals.sagepub.com/doi/abs/10.1177/0018720812443983

Presentation meeting on Resource allocation in BPM

Friday, Sep 22, 12:30h, in Pav. K16, we have a cluster meeting. Sander Peters presents his ongoing, recent research on resource allocation in business processes management.

Abstract: In the field of business process management increasingly complex processes are developed. Planning of these processes is possible with modern modeling techniques as BPMN. But since these processes are increasingly complex the resource allocation for these processes also becomes more and more complex. In order to determine the resource allocation data-driven methods are needed to provide accurate data on resource requirements for a process. Resource requirements can be determined using simulation of these processes provided. Currently there are no adequate simulation engines out there for BPMN processes, but also BPMN does not support a complete resource perspective. Therefore research is necessary to improve the ability to provide resource requirements in order to make feasible resource allocations.

Paper discussion on Service innovation and smart analytics for Industry 4.0 and big data environment

Friday August 25, 12:30-13:30 in Pav. K10, we have a Smart Mobility cluster meeting. Yingqian Zhang will lead the discussion on the following short paper (see attachment) about the application of smart analytics to manufacturing:  Jay Lee, Hung-An Kao, Shanhu Yang, “Service innovation and smart analytics for Industry 4.0 and big data environment” , Proceedings of the 6th CIRP Conference on Industrial Product-Service Systems, 2014.  http://dx.doi.org/10.1016/j.procir.2014.02.001

Presentation meeting Emerging ICT concepts for smart, safe, and sustainable industrial systems

Due to the holidays wrt Ascension Day, the Friday meeting is moved to Monday May 29, 12:30-13:30h, Pav. K16. At this meeting, Bambang Suratno will present the paper by Damien Trentesaux, Theodor Borangiu, André Thomas, “Emerging ICT concepts for smart, safe and sustainable industrial systems”, In Computers in Industry, Volume 81, 2016, Pages 1-10, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2016.05.001.

Presentation meeting Display ads problem

Friday, Mar 24, 12:30h, in Pav. K16., Jason Rhuggenaath presents his recent work on the display ads allocation problem.

In this paper we study the the display ads allocation problem faced by online publishers. Many online (web) publishers such as news sites have multiple pages (homepage, sports, financial, etc) where they display different advertisements (ads). Ads can be displayed in different ways such as images, video or text ads and these ads are displayed on specific AD-slots that are on specific webpages. Each time a user visits a webpage that contains AD-slots a number of impressions are generated.

There are multiple ways to allocate the impressions and the resulting allocation needs to satisfy a number of constraints. In this paper we focus on the situation of online
publishers that are small and medium size enterprises (SMEs). Two options that these small online publishers usually have to allocate impressions are to (i) enter in guaranteed contracts with advertisers, or to (ii) sell an impression on the online AD auction market via supply side platforms (SSPs).

The online publisher offers the impression to the SSP and the SSP will try to sell it on the online AD market via an auction. Revenue from such a sale to an SSP is expected to vary due to the differences in SSPs such as the connected advertisers and the organization of the auctions. However the sale of the impression is not certain and there multiple possible  factors that could determine the success of an auction such as the relevant advertisers being out of budget or this particular impression being uninteresting for the advertisers connected to the SSP.

The allocation problem of the online publisher consists of finding a feasible allocation
of impressions between guaranteed contracts and SSPs that maximizes the expected
revenue.

We argue that the structure and properties of the problem, in particular the way that information is revealed over time, allows us to adopt a stochastic programming approach and formulate the allocation problem as an integer linear programming (ILP) model.

We compare the quality of the solutions obtained by the ILP model with the solutions of a greedy heuristic that is used in practice.

Research presentation on knowledge transfer issues in service-oriented value network

This Friday, Feb 24, 12:30h, in Pav. K16., Samaneh Bagheri presents her recent work on knowledge transfer issues in service-oriented value networks. The title and abstract are shown below.

Title: Toward understanding knowledge transfer issues within value networks from SMEs perspectives: insights from multiple case studies

Abstract: In today’s interconnected global marketplace, where customers have become increasingly knowledgeable and empowered, a customer-centric view is becoming a prominent differentiating strategy of firms. Accordingly, firms in collaboration with multiple service providers and customers, in the context of service-oriented value network (VN), strive to offer co-created integrated solutions. In this context, knowledge is regarded as a main source in integrated solution provision with the ultimate aim of enhancing the customer experience. This implies the importance of effective knowledge transfer within the context of VN. Addressing issues that might hinder effective knowledge transfer is therefore relevant. Previous research on integrated solutions has not really examined knowledge transfer issues within a VN setting (VN-KTIs). This is even scarcer when focusing on small and medium sized enterprises (SMEs) in such studies. To address these research gaps, this study aims to determine the issues that VN encounters during the knowledge transfer process from the perspective of SMEs. To do so, a multiple case study is conducted. The results of this study give us context-specific explanations on the actual issues, faced by VNs, related to the knowledge transfer process. Based on the results we identify 28 relevant issues- list in the VN-KTIs framework- hinder knowledge transfer processes within VNs from the perspective of SMEs.
Actors of a VN can apply the VN-KTIs framework as an analysis support to understand which issue will most likely inhibit knowledge transfer across a VN. Accordingly, they will be prepared to solve such issues and manage the effects of them on their knowledge transfer initiatives.