Project assignment at Philips Healthcare

The Information Systems group is often contacted by industrial organizations with assignments that could lead to student projects at various levels (master thesis project, bachelor completion project, etc.) Through this website we make these topics available to our students. In this post, we announce one such project, involving company Philips.

De opdracht: haalbaarheids studie of SAP workflow de mogelijkheden heeft om de onderstaande wensen te realiseren.

Indien SAP functionaliteit bruikbaar is voor opzetten van Engineering Change proces: het maken van project plan voor ontwikkeling en implementatie.

The intended use of workflow is to

1.       Track the status of the implementation of an Engineering Change Requests (ECR) in the supply chain;

2.       Manage the action plan for supply chain implementation for each functional area participating in the master data enrichment process.

3.       Generate reports / KPI’s with regard to implementation of Engineering Change Requests (ECR) in the supply chain

4.       Be  able to manage electronic signatures [electronic approval on ECR level and on action plan level for each functional area]. Then it will no longer be necessary to archive signed hardcopies of the implemented ECRs.


Contact for more information: Pieter Van Gorp

Colloquium Heiko Ludwig IBM Research Almaden

On Tuesday May 28th, Dr. Heiko Ludwig of IBM Almaden Research Lab (San Jose, CA, USA) will visit us. Heiko will give a presentation at 14:00 (in the field of business/IT alignment, business modeling, service management).

Title: Modeling and Measuring the IT Business Relationship

Studying the relationship of IT on a business is not novel. All organizations are interested in learning about the return of an investment decision in IT and many researchers and practitioners – in particular equipment vendors – develop models that provide a return analysis. While these models were often sufficient to address the decision-making needs of an organization, the increasing degree of outsourced services – cloud or on-premise – and the changing competitive landscape for many IT clients requires a more fine-grained understanding about how IT impacts a business and how a business impacts IT. This colloquium will discuss approaches to measure the impact of a change in an IT system on an organization and the impact of business behavior on IT consumption. We will also discuss how insights gained can inform service design decisions.

Heiko Ludwig is a Research Staff Member with IBM’s Almaden Research Center in San Jose, CA and manages the Outcome Based Business Modeling team in the Almaden Services Research department. His current work relates to business impact modeling, business architecture, reasoning on data veracity and machine learning. Prior work addressed issues of service management and service management platforms, including large-scale, loosely coupled, cross-domain distributed systems, including service outsourcing and cloud computing. Specifically, this includes the issues of managing cross-domain processes, service catalogs and service requests as well as managing the variability of process and configurations. Other recent work includes SLA and policy management.
Heiko published about 100 refereed articles, conference papers, and book chapters as well as technical reports. He is a managing editor of the International Journal of Cooperative Information Systems and frequently serves in editorial capacity, as conference organizer, PC member, research program reviewer, on standards bodies and as conference reviewer. Heiko is also the author of numerous patents. Prior to the Almaden Research Center Heiko worked at the TJ Watson Research Center, IBM’s Delivery Centers in Argentina and Brazil, and IBM’s Zurich Research Laboratory. He holds a Master’s (Diplom) degree and a PhD in information systems (Wirtschaftsinformatik) from Otto-Friedrich University Bamberg, Germany.

New IS Employee: Aksana Khramava

Trainee at Designer program Logistics Management Systems at TU/e with an IT background.
I obtained my master degree in Computer and economic science in Belarus.
I worked as a software developer for about 8 years. My main project was connected to IBM.
For IBM Mainz I developed and maintained a company’s workflow.
My main project was related to IBM Lotus Notes product, but additionally I am skilled in other environments and other programming languages.
Further description about programming experience can be found in my CV.

Colloquium Capacity Group IS June 7, 2013

Gianni Acampora

Event Details

Achieving Memetic Adaptability by Means of Agent-Based Machine Learning

Over recent years, there has been increasing interest of the research community towards evolutionary algorithms, i.e., algorithms that exploit computational models of natural processes to solve complex optimization problems. In spite of their ability to explore promising regions of the search space, they present two major drawbacks: 1) they can take a relatively long time to locate the exact optimum and 2) may sometimes not find the optimum with sufficient precision. Memetic Algorithms are evolutionary algorithms inspired by both Darwinian principles and Dawkins’ notion of a meme, able not only to converge to high-quality solutions, but also search more efficiently than their conventional evolutionary counterparts. However, memetic approaches are affected by several design issues related to the different choices that can be made to implement them. This research activity introduces a multiagent-based memetic algorithm which executes in a parallel way different cooperating optimization strategies in order to solve a given problem’s instance in an efficient way. The algorithm adaptation is performed by jointly exploiting a knowledge extraction process together with a decision making framework based on fuzzy methodologies. The effectiveness of our approach is tested in several experiments in which our results are compared with those obtained by nonadaptive memetic algorithms. The superiority of the proposed strategy is manifest in the majority of cases.