This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state ...of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book.
This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, ...Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
This open access book presents a number of case studies on digital transformation in Norway, one of the fore-runners in the digital progress index established by the European Commission in 2020. They ...explore the process of adoption, diffusion and value generation from digital technologies, and how the use of different digital solutions has enabled Norwegian enterprises to digitally transform their operations and business models. The book starts with an introductory chapter summarizing a vast body of literature in order to synthesize what is already known about digital transformation before exploring the Norwegian context in more detail. Then a series of case studies from the private and public sector in Norway is presented. They document a process perspective which describes the sequence of events during and after adoption of digital solutions, as well as the types of business value that were realized. Through these single studies, the process of digital transformation is illustrated, a number of key findings highlighted, and eventually theoretical and practical recommendations based on these cases emphasized. The book closes with a brief overview of some emerging technologies, and comments on how they are likely to change different sectors. Digital transformation has been one of the priority areas for the Norwegian government over the past years and puts Norwegian enterprises upfront in adopting novel technologies and utilizing them for achieving organizational goals. This experience accumulated over the years makes the Norwegian context a particularly interesting one in understanding how private and public organizations make use of new digital solutions, what lessons can be learnt during the process, and what are some of the key success and failure factors. This way the book is written for practitioners who are currently involved in digital transformation projects in their organizations, researchers of information systems and management, as well as master students in degrees of informatics and technology management.
Dans le domaine de la recherche, les sondages occupent une place prépondérante dans la quête de compréhension des phénomènes. Le traitement efficace et efficient des données qui résultent des ...sondages nécessite l’utilisation d’un logiciel facilitant la saisie et la production de statistiques, et ce, de façon flexible et conviviale. Les auteurs de L’analyse des données de sondage avec SPSS sont d’avis que le logiciel de statistiques SPSS convient parfaitement à l’accomplissement de cette tâche.
Comme pour tout logiciel, l’utilisation de SPSS nécessite un certain apprentissage et, pour apprivoiser ses fonctionnalités, rien ne vaut un bon accompagnement. Le présent ouvrage, conçu comme un outil d’autoformation, guide l’utilisateur en démystifiant SPSS. Il ne vise pas à remplacer le manuel de référence du logiciel, mais cherche plutôt à accompagner le lecteur dans sa première exploration de ce dernier et à l’aider à franchir le seuil, soit l’apprivoisement des manipulations de base.
Ce manuel s’adresse aux analystes de marché, aux économistes, aux professionnels du domaine social, aux étudiants et aux néophytes ayant besoin de notions méthodologiques. Ceux-ci trouveront des explications détaillées pour entrer des données et produire des statistiques descriptives usuelles, notamment des distributions de fréquences et des tableaux croisés. Ils verront également comment illustrer les distributions par des graphiques. Grâce à ce livre, quelques heures suffiront pour se familiariser avec SPSS.
This open access book provides an extensive overview of the usage of information and communication technologies in the tourism and hospitality industry. It presents the proceedings of the ...International Federation for IT and Travel & Tourism (IFITT)’s 30th Annual International eTourism Conference, which assembles the latest research presented at the ENTER2023 conference. The enclosed papers cover various topics within the field, including augmented and virtual reality, website development, social media use, e-learning, big data, analytics and recommendation systems.
Dieses Fachbuch betrachtet aus einer anwendungsorientierten Perspektive aktuelle und zukünftig nötigte Kompetenzen von Mitarbeitenden im Hinblick auf die fortschreitend digitalisierte Arbeitswelt. Es ...bietet ausgewählte wissenschaftlich fundierte und praxisnahe Einblicke in das Kompetenzmanagement von kleinen und mittleren Unternehmen, indem es Kompetenzmodelle sowie Unterstützungsmaßnahmen des formalen und informellen Lernens v. a. mittels digitaler Möglichkeiten präsentiert und diskutiert. Die anschaulich beschriebenen Anwendungsbeispiele zeigen innovative Maßnahmen auf, die bedeutsame Impulse für die eigene Praxis bieten können. Dies ist ein Open-Access-Buch.
I argue that the idea of pursuing a strong personalization of the motor liability insurance conflicts hopelessly with the need to refer to homogeneous groups of policyholders large enough to be ...correctly priced. I furthermore discuss the fact that, due to purely algebraic reasons, it is a priori impossible to obtain the right individual premium by the usual method of multiplying a common base one by a series of factors (as many, as the personalization variables one has chosen to consider). Finally, I point out that the choice of the said factors, not always made with sufficient respect for the statistical evidences, not only gives rise to serious problems concerning the system’s fairness and transparency, but puts theoretically at risk the Companies management balance.
In the past years, energy consumption has increased rapidly due to many factors, including the rise in technology adoption. This has many downfalls, from higher costs to CO
2
emissions. Human ...activities in offices and houses represent a considerable amount of energy usage. A digital twin (DT) of an open-plan common space is created, serving the purpose of remote room occupancy monitoring and automatic detection of energy consumption. A virtual reality (VR) model is developed and integrated to temperature, humidity and imaging sensors. For maintaining privacy, images are processed in local computers to measure occupancy levels and live video feed were never transmitted. The same set of imaging sensors were also used in a bespoke computer vision module for energy consumption estimation. The human avatars were mapped with high correlation (R
2
=
0.85
) with actual positions on floor. Our energy consumption algorithm accuracy obtained true positive rate of
91.58
%
and F1 score of
81.96
%
. Finally, all this information is transmitted and visualized to the 3D digital twin for remote monitoring and simulation.
The objective of this study is to obtain accurate and timely Account Receivables forecasts that can feed into the Cash Flow Forecasting (CFF) for a generic wholesales scenario in a supply chain ...company. The main components of the CFF are the Account Receivables (AR), Account Payables (AP) and Working Capital (WC). The focus of this work is on AR, in particular on how they contribute to the overall cash flow forecasting. The prediction of AR is based on the predicted payment date of each invoice, which can be obtained from the time to payment given the issue date. In this context, we propose the use of discrete survival methods for predicting the time to payment of issued invoices. To obtain more accurate predictions for time to payment, we fit a generalized linear mixed effects model with a time-varying baseline hazard function. This approach provides greater precision for subsequent account receivables predictions compared to the prediction based on simply the payment terms of each invoice, standard time series and classification models, and continuous-time survival methods. We demonstrate the approach on two financial data sets.
