Towards an aspect weaving BPEL engine

This position paper proposes the use of dynamic aspects and the visitor design pattern to obtain a highly configurable and extensible BPEL engine. Using these two techniques, the core of this infrastructural software can be customised to meet new requirements and add features such as debugging, execution monitoring, or changing to another Web Service selection policy. Additionally, it can easily be extended to cope with customer-specific BPEL extensions. We propose the use of dynamic aspects not only on the engine itself but also on the workflow in order to tackle the problems of Web Service hot deployment and hot fixes to long running processes. In this way, composing aWeb Service "on-the-fly" means weaving its choreography interface into the workflow

ALEF: A framework for adaptive webbased learning 2.0,

Abstract. State-of-the-art learning management systems provide their stakeholders with many features coming from Web 2.0 paradigm, but often ignore the need for personalization and adaptation during the learning. More, learning activities are often fragmented -a student needs to make a decision whether he or she wants to take questions or read explanatory materials. In addition, majority of current solutions do not provide a truly interactive environment, where students are allowed to participate in content creation and maintenance. In this paper, we address these issues by proposing and developing a framework for Adaptive Web-based Learning 2.0. We describe basic requirements for such a framework and provide an overview of all its important underlying models and functionality

Third international workshop on Authoring of adaptive and adaptable educational hypermedia (A3EH), Amsterdam, 18-22 July, 2005

The A3EH follows a successful series of workshops on Adaptive and Adaptable Educational Hypermedia. This workshop focuses on models, design and authoring of AEH, on assessment of AEH, conversion between AEH and evaluation of AEH. The workshop has paper presentations, poster session and panel discussions

Measuring the Firm Competitiveness by the Capacity of Operational Flexibility Using Industry 4.0

openL'integrazione delle tecnologie dell'Industria 4.0 nei moderni processi produttivi ha innescato una profonda trasformazione nelle pratiche industriali globali. Questa tesi si concentra su queste trasformazioni nell'illustre panorama tedesco, pioniere nell'innovazione manifatturiera e nell'adozione di Industria 4.0. La tesi esplora il modo in cui la gestione dei dati e la personalizzazione influiscono sulla competitività dell'impresa grazie alla flessibilità operativa che comportano. L'obiettivo fondamentale di questa ricerca è duplice: esplorare l'importanza delle capacità di gestione dei dati nella produzione intelligente e il loro legame con le strategie di personalizzazione e la flessibilità operativa, e mostrare la loro influenza combinata sulla competitività delle aziende manifatturiere tedesche. Analizzando il ruolo della gestione strategica dei dati insieme a un'efficace personalizzazione, questo studio cerca di scoprire i meccanismi che alimentano una migliore competitività nel paradigma dell'industria 4.0. Con la rivoluzione dello stile manifatturiero dalla produzione di massa a quella personalizzata, la determinazione delle richieste e delle preferenze dei clienti è diventata progressivamente importante per i produttori. Verrà discusso l'effetto delle prestazioni della rete di dati di produzione per la personalizzazione di massa e le strategie di adattamento per diventare più flessibili e competitivi.The integration of Industry 4.0 technologies into modern manufacturing processes has ignited a profound transformation in global industrial practices. This thesis focuses on these transformations in Germany's distinguished landscape—an eminent pioneer in manufacturing innovation and Industry 4.0 adoption. It explores how data management and customization affect firm competitiveness by operational flexibility they bring with. The fundamental objective of this research is twofold: to explore the significance of data management capabilities in smart manufacturing and its link to customization strategies and operational flexibility, and to show their combined influence on firm competitiveness among German manufacturing firms. By dissecting the role of strategic data management in tandem with effective customization, this study endeavors to uncover the mechanisms that fuel improved competitiveness in the industry 4.0 paradigm. With the revolution in manufacturing style from mass to customized production, determining customer demands and preferences have grown gradually significant for the manufacturers. The effect of manufacturing data network performance for mass customization and adaptive strategies to become more flexible and competitive will be discussed