The book presents the proceedings of the 4th EAI International Conference on Management of Manufacturing Systems (MMS 2019), which took place in Krynica Zdroj, Poland, on October 8-10, 2019.
The importance of automation in the various industries has increased dramatically in recent years; business process automation serves to enhance product quality, improve process safety and plant availability, and efficiently utilize resources and lower emissions.
Search, analyze, and manage data effectively with Elasticsearch 7Key FeaturesExtend Elasticsearch functionalities and learn how to deploy on Elastic CloudDeploy and manage simple Elasticsearch nodes as well as complex cluster topologiesExplore the capabilities of Elasticsearch 7 with easy-to-follow recipesBook DescriptionElasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data.
This book presents the latest tools, techniques, and solutions that decision makers use to overcome the challenges faced by their sustainable supply chains.
Applications of Management Science presents current studies in the application of management science to the solution of significant managerial decision-making problems.
This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems.
The book develops a practical approach to public policy issues that have continued to be intractable because of a lack of emphasis on transcultural understanding.
This book deals with an often-neglected feature of location problems, namely uncertainty, by combining two related fields: location theory and optimization.
This book focuses on identifying and explaining the key determinants of scenario analysis in the context of operational risk, stress testing and systemic risk, as well as management and planning.
This book provides a blend of quantitative and qualitative approaches to decision making, while also bridging the gap between the theory of how to make good decisions versus how people actually make decisions.
This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool.
In dem vorliegenden Buch wird dargestellt, wie Lagerhaltung nach den heutigen Erkenntnissen mit Hilfe von Operations Research rational gestaltet werden kann.
Stärken- oder lebensphasenorientiertes Personalmanagement ist eines der dringlichsten Themen im jetzigen und zukünftigen Personalmanagement, insbesondere mit Blick auf den demographischen Wandel und Fachkräftemangel.
Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach.
Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge.
The interest in the mathematical modeling of transportation systems stems from the need to predict how people might make use of new or improved transport infrastruc- ture in order to evaluate the benefit of the required investments.
Why Customers Would Rather Have a Smartphone than a Car explores some of the fundamental changes in consumer behaviour: Why do we buy less in shops and more on the internet?
Uncertain Decisions: Bridging Theory and Experiments presents advanced directions of thinking on decision theory - in particular the more recent contributions on non-expected utility theory, fuzzy decision theory and case-based theory.
Design Models for Hierarchical Organizations: Computation, Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models.
This book describes the ontology structure, types of actors, their potential actions, and ways that actions can affect the things that are part of the conflict.
After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology.
Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML).
Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty.
Global optimization aims at solving the most general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables subject to constraints which may be themselves nonlinear and nonconvex.
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty.
This textbook will delve into the philosophical foundation of contemporary IS research design with particular emphasis on the methodological tools that can be applied to conduct effective research in the multidisciplinary area of contemporary IS.
