Angebote zu "Maintenance" (16 Treffer)

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Industrie 4.0. Predictive Maintenance. Wunsch o...
14,99 € *
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Studienarbeit aus dem Jahr 2018 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,7, Hochschule Aalen, Veranstaltung: International Project Management, Sprache: Deutsch, Abstract: Wir bewegen uns im Zeitalter der Industrie 4.0, die die Unternehmen mit modernster Informations- und Kommunikationstechnik verzahnt. Der größte Beweggrund dieser Entwicklung ist die schnell zunehmende Digitalisierung der Wirtschaft. Ein populärer Anwendungsbereich der Industrie 4.0 ist Predictive Maintenance. Predictive Maintenance wird als ein Schlüsselthema in der Industrie 4.0 identifiziert und als eindeutige Voraussetzung für zukünftigen Erfolg in der Wartung gesehen. Der Begriff ´´Predictive Maintenance´´ (PM) lässt sich mit dem Begriff ´´vorausschauende Wartung´´ ins Deutsche übersetzen. Das Ziel von PM besteht darin, Zustandsdaten von technischen Anlagen zur Vorhersage von möglichen Ausfällen der Maschinen sowie Maschinenteilen zu nutzen. Insbesondere für produzierende Unternehmen ist PM vongroßer Bedeutung, da diese überwiegend für ihre Wartungsarbeiten PM einsetzen, allerdings nur für bekannte oder vermutete Ursache-Wirkungs-Zusammenhänge. Nur wenn der Technologie bekannt ist, dass eine Änderung der Charakteristik auf einen sich anbahnenden Schaden hinweist, kann man die Anlagen im Sinne einer vorausschauenden Wartung nutzen. PM wird daher aktuell noch recht unkritisch betrieben. Defizite herrschen hinsichtlich der zuverlässigen Quantifizierung von Instandhaltung sowie notwendigen Instandhaltungsmaßnahmen. Daher kann auch der wirtschaftliche Erfolg von PM nur geschätzt werden, und zwar aufgrund der Weiterentwicklung von Technik aber auch unterschiedlicher äußerer Einflussfaktoren, die nie komplett ausgeblendet beziehungsweise herausgerechnet werden können. Alles in allem kann man also festhalten, dass weder bewiesen ist, dass PM tatsächlich zu Einsparungspotenzialen führt noch, dass mithilfe von PM überhaupt in die Zukunft geblickt werden kann, d.h. Vorhersagen über das zukünftige Verhalten einer Maschine getroffen werden und somit Wartungen optimiert werden können. PM ist nur ein Begriff, welcher eine Vorhersage verspricht, jedoch ist weder in der Realität noch durch die Technologie ein Blick in die Zukunft möglich. Zielsetzung dieser Arbeit ist es somit zu ermitteln, ob PM durch die Zukunftsbezogenheit in der Praxis funktioniert und wie gegebenenfalls der Erfolg in der Praxis konkret gemessen wird.

Anbieter: buecher.de
Stand: 02.10.2019
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Self-modifying Code
24,99 € *
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High Quality Content by WIKIPEDIA articles! In computer science, self-modifying code is code that alters its own instructions while it is executing - usually to reduce the instruction path length and improve performance or simply to reduce otherwise repetitively similar code, thus simplifying maintenance. Self modification is an alternative to the method of ´flag setting´ and conditional program branching, used primarily to reduce the number of times a condition needs to be tested for. The method is frequently used for conditionally invoking test/debugging code without requiring additional overhead for every input/output cycle and also in just-in-time (JIT) compilers.

Anbieter: buecher.de
Stand: 02.10.2019
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How to Engineer Software: A Model-Based Approach
145,99 € *
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A guide to the application of the theory and practice of computing to develop and maintain software that economically solves real-world problem How to Engineer Software is a practical, how-to guide that explores the concepts and techniques of model-based software engineering using the Unified Modeling Language. The author--a noted expert on the topic--demonstrates how software can be developed and maintained under a true engineering discipline. He describes the relevant software engineering practices that are grounded in Computer Science and Discrete Mathematics. Model-based software engineering uses semantic modeling to reveal as many precise requirements as possible. This approach separates business complexities from technology complexities, and gives developers the most freedom in finding optimal designs and code. The book promotes development scalability through domain partitioning and subdomain partitioning. It also explores software documentation that specifically and intentionally adds value for development and maintenance. This important book: Contains many illustrative examples of model-based software engineering, from semantic model all the way to executable code Explains how to derive verification (acceptance) test cases from a semantic model Describes project estimation, along with alternative software development and maintenance processes Shows how to develop and maintain cost-effective software that solves real-world problems Written for graduate and undergraduate students in software engineering and professionals in the field, How to Engineer Software offers an introduction to applying the theory of computing with practice and judgment in order to economically develop and maintain software.

Anbieter: buecher.de
Stand: 09.10.2019
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Keeping Your AI Under Control: A Pragmatic Guid...
23,99 € *
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Much of our daily lives intertwine with artificial intelligence. From watching movies recommended by our entertainment streaming service, to interacting with customer service chatbots, to autotagging photos of friends in our social media apps, AI plays an invisible part in enriching our lives. While AI may be seen as a panacea for enterprise advancement and consumer convenience, it is still an emerging technology, and its explosive growth needs to be approached with proper care and preparation. How do we tackle the challenges it presents, and how do we make sure that it does precisely what it is supposed to do? In Keeping Your AI Under Control , author Anand Tamboli explores the inherent risk factors of the widespread implementation of artificial intelligence. The author delves into several real-life case studies of AI gone wrong, including Microsoft´s 2016 chatbot disaster, Uber´s autonomous vehicle fatally wounding a pedestrian, and an entire smart home in Germany dangerously malfunctioning because of one bad lightbulb. He expertly addresses the need to challenge our current assumptions about the infallibility of technology. The importance of data governance, rigorous testing before roll-out, a chain of human accountability, ethics, and much more are all detailed in Keeping Your AI Under Control . Artificial intelligence will not solve all of our problems for good, but it can (and will) present us with new solutions. These solutions can only be achieved with proper planning, continued maintenance, and above all, a foundation of attuned human supervision. What You Will Learn Understand various types of risks involved in developing and using AI solutions Identify, evaluate, and quantify risks pragmatically Utilize AI insurance to support residual risk management Who This Book Is For Progressive businesses that are on a journey to use AI (buyers/customers), technical and financial leaders in AI solution companies (solution vendors), AI system integrators (intermediaries), project and technology leads of AI deployment projects, technology purchase decision makers, CXOs and legal officers (solution users).

Anbieter: buecher.de
Stand: 12.10.2019
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Your Code As a Crime Scene
24,99 € *
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Jack the Ripper and legacy codebases have more in common than you´d think. Inspired by forensic psychology methods, you´ll learn strategies to predict the future of your codebase, assess refactoring direction, and understand how your team influences the design. With its unique blend of forensic psychology and code analysis, this book arms you with the strategies you need, no matter what programming language you use. Software is a living entity that´s constantly changing. To understand software systems, we need to know where they came from and how they evolved. By mining commit data and analyzing the history of your code, you can start fixes ahead of time to eliminate broken designs, maintenance issues, and team productivity bottlenecks. In this book, you´ll learn forensic psychology techniques to successfully maintain your software. You´ll create a geographic profile from your commit data to find hotspots, and apply temporal coupling concepts to uncover hidden relationships between unrelated areas in your code. You´ll also measure the effectiveness of your code improvements. You´ll learn how to apply these techniques on projects both large and small. For small projects, you´ll get new insights into your design and how well the code fits your ideas. For large projects, you´ll identify the good and the fragile parts. Large-scale development is also a social activity, and the team´s dynamics influence code quality. That´s why this book shows you how to uncover social biases when analyzing the evolution of your system. You´ll use commit messages as eyewitness accounts to what is really happening in your code. Finally, you´ll put it all together by tracking organizational problems in the code and finding out how to fix them. Come join the hunt for better code! What You Need: You need Java 6 and Python 2.7 to run the accompanying analysis tools. You also need Git to follow along with the examples.

Anbieter: buecher.de
Stand: 11.10.2019
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Managing PeopleSoft on the Oracle Cloud
27,99 € *
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Transition from hosting your PeopleSoft applications in a traditional, on-premises data center to hosting those same applications in the Oracle Cloud infrastructure. This functional and technical book helps you install and support PeopleSoft Cloud Manager and makes the case for moving applications to the Oracle Cloud technology stack. You will learn about the use and cost of PeopleSoft instances in the cloud and how to configure your PeopleSoft environments to take advantage of the Oracle Cloud platform. Managing PeopleSoft on the Oracle Cloud is a resource for the functional analyst or IT manager tasked with moving PeopleSoft to the Oracle Cloud, as well as for the PeopleSoft system administrator or developer tasked with keeping a PeopleSoft installation running smoothly. Multiple cloud use cases illustrate PeopleSoft system configuration best practices, spell out specific requirements for running PeopleSoft Cloud Manager on the Oracle Cloud, and outline tips and tricks for running PeopleSoft instances in the cloud. What You´ll Learn Install and configure PeopleSoft Cloud Manager Subscribe to maintenance releases and updates Create new topologies and build new environment templates Instantiate and manage PeopleSoft instances using Cloud Manager Transition PeopleSoft from on site to in the cloud Who This Book Is For Technical PeopleSoft administrators looking for best practices, tips, and tricks for moving PeopleSoft to the Oracle Cloud, as well as for IT managers building a case for such a move. The book is an excellent choice for both functional and technical teams who are just starting out on their PeopleSoft cloud journey.

Anbieter: buecher.de
Stand: 10.10.2019
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Conception d´un logiciel auto-adaptatif
39,90 € *
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Le travail présenté dans cet ouvrage vient pour contribuer à remédier aux manques d´efficacité des systèmes de gestion de paie actuellement sur le marché. Dans ce sens nous avons proposé une conception très élaborée d´un logiciel destiné à assurer ces type des gestions. Ce logiciel est de type système auto-adaptatif, c´est-à-dire capable d´apporter des corrections pour se stabiliser lorsque son fonctionnement est perturbé par des aléas de son environnement. Nous avons spécifié les besoins en adaptation dans cette phase de conception. Cette conception permettra au logiciel d´être totalement paramétrable pour garantir son extension et sa maintenance. En plus cette conception est faite de manière à laisser libre choix au développeur logiciel d´opter pour le langage de programmation qu´il souhaite. Nous présentons tout le travail effectué, partant de la spécification des besoins à la description du besoin en auto-adaptation du logiciel.

Anbieter: buecher.de
Stand: 07.10.2019
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Data Science
59,90 € *
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Data Science steht derzeit wie kein anderer Begriff für die Auswertung großer Datenmengen mit analytischen Konzepten des Machine Learning oder der künstlichen Intelligenz. Nach der bewussten Wahrnehmung der Big Data und dabei insbesondere der Verfügbarmachung in Unternehmen sind Technologien und Methoden zur Auswertung dort gefordert, wo klassische Business Intelligence an ihre Grenzen stößt. Dieses Buch bietet eine umfassende Einführung in Data Science und deren praktische Relevanz für Unternehmen. Dabei wird auch die Integration von Data Science in ein bereits bestehendes Business-Intelligence-Ökosystem thematisiert. In verschiedenen Beiträgen werden sowohl Aufgabenfelder und Methoden als auch Rollen- und Organisationsmodelle erläutert, die im Zusammenspiel mit Konzepten und Architekturen auf Data Science wirken. Neben den Grundlagen werden unter anderem folgende Themen behandelt: - Data Science und künstliche Intelligenz - Konzeption und Entwicklung von Data-driven Products - Deep Learning - Self-Service im Data-Science-Umfeld - Data Privacy und Fragen zur digitalen Ethik - Customer Churn mit Keras/TensorFlow und H2O - Wirtschaftlichkeitsbetrachtung bei der Auswahl und Entwicklung von Data Science - Predictive Maintenance - Scrum in Data-Science-Projekten Zahlreiche Anwendungsfälle und Praxisbeispiele geben Einblicke in die aktuellen Erfahrungen bei Data-Science-Projekten und erlauben dem Leser einen direkten Transfer in die tägliche Arbeit.

Anbieter: buecher.de
Stand: 02.10.2019
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Expert SQL Server Transactions and Locking
21,99 € *
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Master SQL Server´s Concurrency Model so you can implement high-throughput systems that deliver transactional consistency to your application customers. This book explains how to troubleshoot and address blocking problems and deadlocks, and write code and design database schemas to minimize concurrency issues in the systems you develop. SQL Server´s Concurrency Model is one of the least understood parts of the SQL Server Database Engine. Almost every SQL Server system experiences hard-to-explain concurrency and blocking issues, and it can be extremely confusing to solve those issues without a base of knowledge in the internals of the Engine. While confusing from the outside, the SQL Server Concurrency Model is based on several well-defined principles that are covered in this book. Understanding the internals surrounding SQL Server´s Concurrency Model helps you build high-throughput systems in multi-user environments. This book guides you through the Concurrency Model and elaborates how SQL Server supports transactional consistency in the databases. The book covers all versions of SQL Server, including Microsoft Azure SQL Database, and it includes coverage of new technologies such as In-Memory OLTP and Columnstore Indexes. What You´ll Learn Know how transaction isolation levels affect locking behavior and concurrency Troubleshoot and address blocking issues and deadlocks Provide required data consistency while minimizing concurrency issues Design efficient transaction strategies that lead to scalable code Reduce concurrency problems through good schema design Understand concurrency models for In-Memory OLTP and Columnstore Indexes Reduce blocking during index maintenance, batch data load, and similar tasks Who This Book Is For SQL Server developers, database administrators, and application architects who are developing highly-concurrent applications. The book is for anyone interested in the technical aspects of creating and troubleshooting high-throughput systems that respond swiftly to user requests.

Anbieter: buecher.de
Stand: 02.10.2019
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