The KLU faculty, post-docs, and PhD candidates regularly publish the results of their research in scientific journals. You will find a complete overview of all KLU publications below (e.g. articles in peer-reviewed journals, professional journals, books, working papers, and conference proceedings). Search for relevant terms and keywords, or filter the list by name, year of publication or type of publication. The references include DOIs and abstracts where available, and you can download them to your own reference database or platform. We regularly update the database with new publications.

Conference Proceedings

Copy reference link

Abstract: Semantic Business Process Management (SBPM) enhances BPM with semantic technologies in order to increase the degree of automation in the BPM lifecycle and help in bridging the gap between the business and IT views on business processes. In this paper, we describe the architecture of an SBPM System (SBPMS) which supports the whole SBPM lifecycle by providing functionality for process modeling, process configuration, process execution, and process analysis. We analyze the functional requirements of the SBPMS from the business user's and the IT expert's point of view and derive and describe the components of the SBPMS and their key interactions to achieve the required functionalities. We show how existing BPMS components can be extended to use semantics, and describe the integration of new components, such as a Semantic Execution Environment. The presented SBPMS is based on BPMN, BPEL and WSMO technologies.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link   DOI: 10.1109/ICSC.2008.84

Abstract: Business process management (BPM) aims at supporting the whole life-cycle necessary to deploy and maintain business processes in organisations. Despite its success however, BPM suffers from a lack of automation that would support a smooth transition between the business world and the IT world. We argue that semantic BPM, that is, the enhancement of BPM with semantic Web services technologies, provides further scalability to BPM by increasing the level of automation that can be achieved. We describe the particular SBPM approach developed within the SUPER project and we illustrate how it contributes to enhancing existing BPM solutions in order to achieve more flexible, dynamic and manageable business processes.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link

Abstract: This paper estimates the shippers‟ reactions and their economic benefits from a multimodal transport network called LOGOTAKT. For this purpose, an econometric shipper model is being estimated in which the major factor influencing logistics decisions – the balance between warehouse and storage cost – is explicitly taken into account. The functional form is being deduced from the first order condition of Total Logistics Cost function minimization. Transport cost is expressed in form of a complex function depending on order size and the transport distance in order capture the effect of economies of scale in transportation. It is estimated based on empirical data of distribution obtained from two major German companies. Simulations show that the new multimodal transportation system has a significant impact on shipment size distributions changing them in favor of smaller shipments. This leads especially to significant reductions in warehouse costs. Finally, some implications of the analytical results on transport policy are provided: To achieve further modal shift from road to rail, public financial support and the regulatory framework must put railways into the position to consolidate shipments and to exhaust economies of scale.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Book Chapters

Copy reference link   DOI: doi:10.1007/978-3-319-29582-4_9

Abstract: The adoption of the workflow technology in the eScience domain has contributed to the increase of simulation-based applications orchestrating different services in a flexible and error-free manner. The nature of the provisioning and execution of such simulations makes them potential candidates to be migrated and executed in Cloud environments. The wide availability of Infrastructure-as-a-Service (IaaS) Cloud offerings and service providers has contributed to a raise in the number of supporters of partially or completely migrating and running their scientific experiments in the Cloud. Focusing on Scientific Workflow-based Simulation Environments (SWfSE) applications and their corresponding underlying runtime support, in this research work we aim at empirically analyzing and evaluating the impact of migrating such an environment to multiple IaaS infrastructures. More specifically, we focus on the investigation of multiple Cloud providers and their corresponding optimized and non-optimized IaaS offerings with respect to their offered performance, and its impact on the incurred monetary costs when migrating and executing a SWfSE. The experiments show significant performance improvements and reduced monetary costs when executing the simulation environment in off-premise Clouds.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link   DOI: 10.1007/978-3-642-24755-2_23

Abstract: In the field of natural and engineering science, computer simulations play an increasingly important role to explain or predict phenomena of the real world. Although the software landscape is crucial to support scientists in their every day work, we recognized during our work with scientific institutes that many simulation programs can be considered legacy monolithic applications. They are developed without adhering to known software engineering guidelines, lack an acceptable software ergonomics, run sequentially on single workstations and require tedious manual tasks. We are convinced that SOA concepts and the service composition technology can help to improve this situation. In this paper we report on the results of our work on the service- and service composition-based re-engineering of a legacy scientific application for the simulation of the ageing process in copper-alloyed. The underlying general concept for a distributed, service-based simulation infrastructure is also applicable to other scenarios. Core of the infrastructure is a resource manager that steers server work load and handles simulation data.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Conference Proceedings

Copy reference link  

Abstract: Expatriation research has predominantly focused on company-backed expatriates (CBEs), who are sent abroad by their employer, and on examining how their levels of on-the-job embeddedness affect their intention to prematurely repatriate. Yet, most expatriates are not CBEs but self-initiated expatriates (SIEs). In this article we hypothesize that for their behavioral and demographic features, CBEs and SIEs differ substantially in their levels of on-the job and off-the-job embeddedness. Moreover, these difference lay ground for moderating effects resulting in different explanations for the repatriation intention of CBEs and SIEs. Drawing on a unique sample of 345 expatriates from 40 different countries we show that while SIEs experience a higher degree of off-the-job embeddedness than CBEs, the two expatriate types do not differ in their levels of on-the-job embeddedness. Also, off-the-job embeddedness is more important for explaining the repatriation intention of CBEs than of SIEs. Most importantly, whereas for SIEs low levels of on-the-job embeddedness increase their intention to repatriate, for CBEs high-not low-levels increase their intention to repatriate. Our findings carry important theoretical implications for research on expatriates and provide managerial implications related to the choice, hiring criteria, and support programs for expatriates.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link

Abstract: Proactive event processing constitutes the next phase in the evolution of complex event processing. Proactive event processing makes it possible to anticipate potential issues during process execution and thereby enables proactive process management. One industry domain that can expect relevant benefits from applying proactive event processing is transportation. Transportation companies face numerous stochastic issues when managing the shipment of goods. One such issue faced in airfreight is the exact volume, weight, and number of pieces that a shipper wants to have shipped. Because of the high cost of air shipments, discrepancies between what has been booked by a shipper and the actual volume that is delivered impose costs that create problems for all participants in a shipment. One potential approach to addressing this problem is to use real-time monitoring and proactive alerting to assist air freight companies in anticipating actual delivered weights, volumes, and piece counts. In this paper we address the issue of cargo shipments by leveraging real-time monitoring data collected from an industry-standard monitoring system of a large freight forwarding company. Our evidence indicates that by using a novel proactive event-driven software engine, prediction about the weight of shipments can be developed and used in a proactive manner to assist air freight planners in making better estimates and plans for the shipment of goods. We demonstrate that through the use of this proactive approach, predictions concerning over and under-weight loads can be made days in advance of a shipment, thus enabling the air freight planner to optimize their load plans and thus maximize the revenue that they generate from shipments.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link

Abstract: In disassemble-to-order (DTO) systems randomness of recoverable parts gained from used products creates a major challenge for appropriate planning. Typically, it is assumed that yields from disassembly are either stochastically proportional (SP) or follow a binomial (BI) process. In the case of yield misspecification, it can be shown that the BI yield assumption usually results in a lower penalty than the SP yield assumption. For BI yield, however, a suitable, powerful heuristic is needed in order to facilitate DTO problems olving for complex realworld product structures. We present a heuristic approach that is based on a ecomposition procedure for the underlying non-linear stochastic optimization problem and that can be applied to problems of arbitrary size. A numerical performance study reveals that this heuristic yields close - to - optimal results.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link   DOI: 10.1007/978-3-642-38827-9_26

Abstract: The logistics service industry is characterized by a high level of collaboration between logistics customers and providers. In fact, sophisticated, knowledge-intense business models such as fourth party and lead logistics evolved in recent years that are responsible for planning, coordination, and monitoring entire supply chains across logistics companies. The Logistics Service Engineering and Management (LSEM) platform is a service-oriented infrastructure for the development and management of collaborative contract logistics enabling fourth party and lead logistics. The service modeling framework (SMF) is a central element of the LSEM-platform. It allows users of the platform to define, manage and combine logistics services from different providers and allows for an integrated view on complex services setups. In this paper, the Service Meta Modeling Editor is presented as an essential part of the SMF. It allows connecting and integrating various types of service models and avoids the need to define and maintain a complex, global service model. Instead a comprehensive service model is built bottom-up in that elements from different models are linked on a metamodel level.

Export record: Citavi Endnote RIS ISI BibTeX WordXML

Copy reference link

Abstract: This work aims to discuss modeling issues on solving the transport distribution problem in freight transport. The traditional distribution model – the Gravity Model – is introduced in detail with the focus on its forecasting capability of freight transport distribution. Through analyses on the base of observed and predicted data of freight transport in Germany, it is found that, compared to applying the Gravity Model, directly balancing the observed distribution from the last period using the Furness Method can generate more closer predictions to the official predictions in a planning project of the German Federal Ministry of Transport, Building and Urban Development. However, the re is a doubt about whether this Furness Method itself brings about an impact on the deterrence exponent. Based on the proposition that the Furness Method dilutes the deterrence effect of transport costs, a compensating procedure is developed in this work as a supplement to the traditional process, offering a new thinking to improve the prediction performance of distribution models.

Export record: Citavi Endnote RIS ISI BibTeX WordXML